U.S. patent application number 11/758866 was filed with the patent office on 2007-12-27 for contextual dynamic advertising based upon captured rendered text.
Invention is credited to Dale L. Grover, Martin T. King, Clifford A. Kushler, James Q. Stafford-Fraser.
Application Number | 20070300142 11/758866 |
Document ID | / |
Family ID | 38874851 |
Filed Date | 2007-12-27 |
United States Patent
Application |
20070300142 |
Kind Code |
A1 |
King; Martin T. ; et
al. |
December 27, 2007 |
CONTEXTUAL DYNAMIC ADVERTISING BASED UPON CAPTURED RENDERED
TEXT
Abstract
A system for processing text captured from rendered documents is
described. The system receives a sequence of one or more words
optically or acoustically captured from a rendered document by a
user. The system identifies an electronic version of the rendered
document and associated an action. The system then performs the
associated action with respect to the user.
Inventors: |
King; Martin T.; (Vashon
Island, WA) ; Grover; Dale L.; (Ann Arbor, MI)
; Kushler; Clifford A.; (Lynnwood, WA) ;
Stafford-Fraser; James Q.; (Cambridge, GB) |
Correspondence
Address: |
PERKINS COIE LLP;PATENT-SEA
P.O. BOX 1247
SEATTLE
WA
98111-1247
US
|
Family ID: |
38874851 |
Appl. No.: |
11/758866 |
Filed: |
June 6, 2007 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
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11097103 |
Apr 1, 2005 |
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11758866 |
Jun 6, 2007 |
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60811623 |
Jun 6, 2006 |
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60833131 |
Jul 24, 2006 |
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60843362 |
Sep 8, 2006 |
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60844894 |
Sep 15, 2006 |
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60844893 |
Sep 15, 2006 |
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60845604 |
Sep 18, 2006 |
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60910438 |
Apr 5, 2007 |
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Current U.S.
Class: |
382/181 |
Current CPC
Class: |
G06Q 30/0277 20130101;
G06Q 30/0603 20130101; G06Q 30/00 20130101; G06Q 30/0269 20130101;
G06Q 30/02 20130101 |
Class at
Publication: |
715/500 |
International
Class: |
G06F 17/00 20060101
G06F017/00 |
Claims
1. A method in a computing system for responding to a capture of
text, comprising: receiving a sequence of one or more words
optically or acoustically captured from a rendered document by a
user; identifying an electronic version of the rendered document
based on the captured text; selecting an advertising message based
upon content of the identified electronic version of the rendered
document; and presenting the selected advertising message to the
user.
2. The method of claim 1 wherein the rendered document is sponsored
by a third party.
3. The method of claim 1 wherein presenting the advertising message
to the user includes presenting the advertising message within a
copy of the electronic version of the rendered document.
4. The method of claim 1, further comprising: generating a keyword
in response to identifying the electronic version of the rendered
document, wherein the keyword is derived from an analysis of the
electronic version; wherein the selecting is based on the generated
keyword.
5. The method of claim 1 wherein the selecting is based at least in
part upon the type of the rendered document.
6. The method of claim 1 wherein the selecting is based at least in
part upon the source of the rendered document.
7. The method of claim 1 wherein the selecting is based at least in
part upon attributes of the user.
8. The method of claim 1 wherein the selecting is based at least in
part upon the identity of the user.
9. The method of claim 1 wherein the selecting is based at least in
part upon the location of the user.
10. The method of claim 1 wherein the selecting is based at least
in part upon a group of people of which the user is a member.
11. The method of claim 1 wherein the advertising message was
associated with the identified electronic version of the rendered
document after the rendered document was authored.
12. The method of claim 1 wherein the advertising message was
associated with the identified electronic version after the
rendered document was rendered.
13. The method of claim 1 wherein the action is associated with the
identified electronic version of the rendered document for only the
rendered document.
14. The method of claim 1 wherein selecting an advertising messages
further comprises: analyzing the content of the identified
electronic version of the rendered document using a word frequency
analysis, an inverse document frequency analysis, a lexical and
semantic analysis, or document summarization techniques.
15. The method of claim 1 wherein the advertising message is
selected based upon content that does not include the captured
sequence of one or more words.
16. A system for responding to the capture of text from a rendered
document, comprising: a receiving component that receives a
sequence of captured text from a rendered document; an
identification component that identifies an electronic version of
the rendered document containing the captured text; a content
analysis component that analyzes the content of the identified
electronic version; and a selection component that selects an
advertisement based upon the content analysis.
17. The system of claim 16 wherein the content analysis is one or
more of a word frequency analysis, an inverse document frequency
analysis, a lexical and semantic analysis, or document
summarization techniques.
18. The system of claim 16 wherein the content analysis includes
analyzing a type of the rendered document, a source of the rendered
document, or a position of the captured text within the rendered
document.
19. The system of claim 16 wherein the content analysis includes
analyzing an identity of a user of the system, a location of the
user, or a group of people of which the user is a member.
20. The system of claim 16, the content analysis component further
comprising: a keyword generating component that generates one or
more keywords to be associated with the identified electronic
version.
21. One or more computer memories collectively containing a data
structure, the data structure connecting an electronic version of a
rendered document to an advertisement, the data structure
comprising an electronic version of the rendered document, the
electronic version being selected based on a determination that the
electronic version contains a user captured text sequence, and an
advertisement, the advertisement being selected based in part upon
an analysis of the content of the electronic version.
22. A method for displaying a selected advertisement to a user,
comprising: receiving data indicating a sequence of text from a
rendered document; analyzing the received data to identify an
electronic counterpart to the rendered document; processing at
least a portion of content of the identified electronic counterpart
to associate one or more advertisements to the electronic
counterpart; and presenting one or more of the associated
advertisements to the user.
23. The method of claim 22 wherein the processing includes
selecting one of the associated advertisements based upon context
information related to the rendered document, and presenting the
selected associated advertisement to the user.
24. The method of claim 22 wherein the processing includes
selecting one of the associated advertisements based upon context
information related to the user.
25. The method of claim 22 wherein the processing includes
determining a keyword to represent the content of the electronic
counterpart and associating one or more advertisements to the
keyword.
26. The method of claim 22 wherein the presenting includes
presenting an advertisement within the electronic counterpart.
27. The method of claim 22 wherein the presenting includes
presenting an advertisement at a display device associated with the
user.
28. The method of claim 22, further comprising: retrieving an image
being displayed on a dynamic display device; and performing optical
character recognition on the retrieved image to obtain the sequence
of text indicated by the received data.
29. A computer-readable medium whose contents cause a computing
system to perform a method for displaying advertising messages,
comprising: retrieving an image being displayed on a distinguished
dynamic display device; performing optical character recognition on
the retrieved image to obtain a sequence of text; identifying an
advertising message associated with at least a portion of the
obtained sequence of text; and displaying the identified
advertising message.
30. The computer-readable medium of claim 29 wherein the identified
advertising message is displayed on the distinguished dynamic
display device.
31. The computer-readable medium of claim 29 wherein the identified
advertising message is displayed on a dynamic display device other
than the distinguished dynamic display device that is viewable by a
user of the computing system.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a Continuation-In-Part of U.S. patent
application Ser. No. 11/097,103, filed on Apr. 1, 2005, entitled
TRIGGERING ACTIONS IN RESPONSE TO OPTICALLY OR ACOUSTICALLY
CAPTURING KEYWORDS FROM A RENDERED DOCUMENT, which is herein
incorporated by reference in its entirety.
[0002] This application claims priority to U.S. Provisional Patent
Application No. 60/811,623, filed on Jun. 6, 2006, entitled
CONTEXTUAL DYNAMIC ADVERTISING BASED UPON CAPTURED RENDERED TEXT,
which is hereby incorporated by reference in its entirety.
[0003] This application is related to the following U.S. patent
applications, each of which is hereby incorporated by reference in
its entirety: U.S. patent application Ser. No. 11/004,637 filed on
Dec. 3, 2004, U.S. patent application Ser. No. 11/097,961, filed
Apr. 1, 2005, entitled METHODS AND SYSTEMS FOR INITIATING
APPLICATION PROCESSES BY DATA CAPTURE FROM RENDERED DOCUMENTS, U.S.
patent application Ser. No. 11/097,093, filed Apr. 1, 2005,
entitled DETERMINING ACTIONS INVOLVING CAPTURED INFORMATION AND
ELECTRONIC CONTENT ASSOCIATED WITH RENDERED DOCUMENTS, U.S. patent
application Ser. No. 11/098,038, filed Apr. 1, 2005, entitled
CONTENT ACCESS WITH HANDHELD DOCUMENT DATA CAPTURE DEVICES, U.S.
patent application Ser. No. 11/098,014, filed Apr. 1, 2005,
entitled SEARCH ENGINES AND SYSTEMS WITH HANDHELD DOCUMENT DATA
CAPTURE DEVICES, U.S. patent application Ser. No. 11/098,043, filed
Apr. 1, 2005, entitled SEARCHING AND ACCESSING DOCUMENTS ON PRIVATE
NETWORKS FOR USE WITH CAPTURES FROM RENDERED DOCUMENTS, U.S. patent
application Ser. No. 11/097,981, filed Apr. 1, 2005, entitled
INFORMATION GATHERING SYSTEM AND METHOD, U.S. patent application
Ser. No. 11/097,089, filed Apr. 1, 2005, entitled DOCUMENT
ENHANCEMENT SYSTEM AND METHOD, U.S. patent application Ser. No.
11/097,835, filed Apr. 1, 2005, entitled PUBLISHING TECHNIQUES FOR
ADDING VALUE TO A RENDERED DOCUMENT, U.S. patent application Ser.
No. 11/098,016, filed Apr. 1, 2005, entitled ARCHIVE OF TEXT
CAPTURES FROM RENDERED DOCUMENTS, U.S. patent application Ser. No.
11/097,828, filed Apr. 1, 2005, entitled ADDING INFORMATION OR
FUNCTIONALITY TO A RENDERED DOCUMENT VIA ASSOCIATION WITH AN
ELECTRONIC COUNTERPART, U.S. patent application Ser. No.
11/097,833, filed Apr. 1, 2005, entitled AGGREGATE ANALYSIS OF TEXT
CAPTURES PERFORMED BY MULTIPLE USERS FROM RENDERED DOCUMENTS, U.S.
patent application Ser. No. 11/097,836, filed Apr. 1, 2005,
entitled ESTABLISHING AN INTERACTIVE ENVIRONMENT FOR RENDERED
DOCUMENTS, U.S. patent application Ser. No. 11/098,042, filed Apr.
1, 2005, entitled DATA CAPTURE FROM RENDERED DOCUMENTS USING
HANDHELD DEVICE, U.S. patent application Ser. No. 11/096,704, filed
Apr. 1, 2005, entitled CAPTURING TEXT FROM RENDERED DOCUMENTS USING
SUPPLEMENTAL INFORMATION, U.S. patent application Ser. No.
11/110,353, filed Apr. 19, 2005, entitled PROCESSING TECHNIQUES FOR
VISUAL CAPTURE DATA FROM A RENDERED DOCUMENT, U.S. patent
application Ser. No. 11/131,945, filed May 17, 2005, entitled
PROCESSING TECHNIQUES FOR TEXT CAPTURE FROM A RENDERED DOCUMENT,
U.S. patent application Ser. No. 11/185,908, filed Jul. 19, 2005,
entitled AUTOMATIC MODIFICATION OF WEB PAGES, U.S. patent
application Ser. No. 11/208,408, filed Aug. 18, 2005, entitled
SCANNER HAVING CONNECTED AND UNCONNECTED OPERATIONAL BEHAVIORS,
U.S. patent application Ser. No. 11/208,457, filed Aug. 18, 2005,
entitled LOCATING ELECTRONIC INSTANCES OF DOCUMENTS BASED ON
RENDERED INSTANCES, DOCUMENT FRAGMENT DIGEST GENERATION, AND DIGEST
BASED DOCUMENT FRAGMENT DETERMINATION, U.S. patent application Ser.
No. 11/208,458, filed Aug. 18, 2005, entitled METHODS, SYSTEMS AND
COMPUTER PROGRAM PRODUCTS FOR DATA GATHERING IN A DIGITAL AND HARD
COPY DOCUMENT ENVIRONMENT, U.S. patent application Ser. No.
11/208,461, filed Aug. 18, 2005, entitled APPLYING SCANNED
INFORMATION TO IDENTIFY CONTENT, U.S. patent application Ser. No.
11/209,333, filed Aug. 23, 2005, entitled A PORTABLE SCANNING
DEVICE, U.S. patent application Ser. No. 11/210,260, filed Aug. 23,
2005, entitled A METHOD AND SYSTEM FOR CHARACTER RECOGNITION, U.S.
patent application Ser. No. 11/236,440, filed Sep. 27, 2005,
entitled SECURE DATA GATHERING FROM RENDERED DOCUMENTS, U.S. patent
application Ser. No. 11/236,330, filed Sep. 27, 2005, entitled
HANDHELD DEVICE FOR CAPTURING TEXT FROM BOTH A DOCUMENT PRINTED ON
PAPER AND A DOCUMENT DISPLAYED ON A DYNAMIC DISPLAY DEVICE, U.S.
patent application Ser. No. 11/365,983, filed Feb. 28, 2006,
entitled ASSOCIATION OF A PORTABLE SCANNER WITH INPUT/OUTPUT AND
STORAGE DEVICES, U.S. patent application Ser. No. 11/432,731, filed
May 11, 2006, entitled A PORTABLE SCANNING AND MEMORY DEVICE,
International Patent Application No. PCT/US05/11533, filed Apr. 1,
2005, entitled A SYSTEM AND METHOD FOR CHARACTER RECOGNITION,
International Patent Application No. PCT/US05/13586, filed Apr. 6,
2005, entitled SCANNING APPARATUS AND RELATED TECHNIQUES,
International Patent Application No. PCT/US05/12510, filed Apr. 12,
2005, entitled ADDING VALUE TO A RENDERED DOCUMENT.
[0004] This application is further related to and incorporates by
reference in their entirety the following U.S. Provisional Patent
Applications: Application No. 60/559,226 filed on Apr. 1, 2004,
Application No. 60/558,893 filed on Apr. 1, 2004, Application No.
60/558,968 filed on Apr. 1, 2004, Application No. 60/558,867 filed
on Apr. 1, 2004, Application No. 60/559,278 filed on Apr. 1, 2004,
Application No. 60/559,279 filed on Apr. 1, 2004, Application No.
60/559,265 filed on Apr. 1, 2004, Application No. 60/559,277 filed
on Apr. 1, 2004, Application No. 60/558,969 filed on Apr. 1, 2004,
Application No. 60/558,892 filed on Apr. 1, 2004, Application No.
60/558,760 filed on Apr. 1, 2004, Application No. 60/558,717 filed
on Apr. 1, 2004, Application No. 60/558,499 filed on Apr. 1, 2004,
Application No. 60/558,370 filed on Apr. 1, 2004, Application No.
60/558,789 filed on Apr. 1, 2004, Application No. 60/558,791 filed
on Apr. 1, 2004, Application No. 60/558,527 filed on Apr. 1, 2004,
Application No. 60/559,125 filed on Apr. 2, 2004, Application No.
60/558,909 filed on Apr. 2, 2004, Application No. 60/559,033 filed
on Apr. 2, 2004, Application No. 60/559,127 filed on Apr. 2, 2004,
Application No. 60/559,087 filed on Apr. 2, 2004, Application No.
60/559,131 filed on Apr. 2, 2004, Application No. 60/559,766 filed
on Apr. 6, 2004, Application No. 60/561,768 filed on Apr. 12, 2004,
Application No. 60/563,520 filed on Apr. 19, 2004, Application No.
60/563,485 filed on Apr. 19, 2004, Application No. 60/564,688 filed
on Apr. 23, 2004, Application No. 60/564,846 filed on Apr. 23,
2004, Application No. 60/566,667, filed on Apr. 30, 2004,
Application No. 60/571,381 filed on May 14, 2004, Application No.
60/571,560 filed on May 14, 2004, Application No. 60/571,715 filed
on May 17, 2004, Application No. 60/589,203 filed on Jul. 19, 2004,
Application No. 60/589,201 filed on Jul. 19, 2004, Application No.
60/589,202 filed on Jul. 19, 2004, Application No. 60/598,821 filed
on Aug. 2, 2004, Application No. 60/602,956 filed on Aug. 18, 2004,
Application No. 60/602,925 filed on Aug. 18, 2004, Application No.
60/602,947 filed on Aug. 18, 2004, Application No. 60/602,897 filed
on Aug. 18, 2004, Application No. 60/602,896 filed on Aug. 18,
2004, Application No. 60/602,930 filed on Aug. 18, 2004,
Application No. 60/602,898 filed on Aug. 18, 2004, Application No.
60/603,466 filed on Aug. 19, 2004, Application No. 60/603,082 filed
on Aug. 19, 2004, Application No. 60/603,081 filed on Aug. 19,
2004, Application No. 60/603,498 filed on Aug. 20, 2004,
Application No. 60/603,358 filed on Aug. 20, 2004, Application No.
60/604,103 filed on Aug. 23, 2004, Application No. 60/604,098 filed
on Aug. 23, 2004, Application No. 60/604,100 filed on Aug. 23,
2004, Application No. 60/604,102 filed on Aug. 23, 2004,
Application No. 60/605,229 filed on Aug. 27, 2004, Application No.
60/605,105 filed on Aug. 27, 2004, Application No. 60/613,243 filed
on Sep. 27, 2004, Application No. 60/613,628 filed on Sep. 27,
2004, Application No. 60/613,632 filed on Sep. 27, 2004,
Application No. 60/613,589 filed on Sep. 27, 2004, Application No.
60/613,242 filed on Sep. 27, 2004, Application No. 60/613,602 filed
on Sep. 27, 2004, Application No. 60/613,340 filed on Sep. 27,
2004, Application No. 60/613,634 filed on Sep. 27, 2004,
Application No. 60/613,461 filed on Sep. 27, 2004, Application No.
60/613,455 filed on Sep. 27, 2004, Application No. 60/613,460 filed
on Sep. 27, 2004, Application No. 60/613,400 filed on Sep. 27,
2004, Application No. 60/613,456 filed on Sep. 27, 2004,
Application No. 60/613,341 filed on Sep. 27, 2004, Application No.
60/613,361 filed on Sep. 27, 2004, Application No. 60/613,454 filed
on Sep. 27, 2004, Application No. 60/613,339 filed on Sep. 27,
2004, Application No. 60/613,633 filed on Sep. 27, 2004,
Application No. 60/615,378 filed on Oct. 1, 2004, Application No.
60/615,112 filed on Oct. 1, 2004, Application No. 60/615,538 filed
on Oct. 1, 2004, Application No. 60/617,122 filed on Oct. 7, 2004,
Application No. 60/622,906 filed on Oct. 28, 2004, Application No.
60/633,452 filed on Dec. 6, 2004, Application No. 60/633,678 filed
on Dec. 6, 2004, Application No. 60/633,486 filed on Dec. 6, 2004,
Application No. 60/633,453 filed on Dec. 6, 2004, Application No.
60/634,627 filed on Dec. 9, 2004, Application No. 60/634,739 filed
on Dec. 9, 2004, Application No. 60/647,684 filed on Jan. 26, 2005,
Application No. 60/648,746 filed on Jan. 31, 2005, Application No.
60/653,372 filed on Feb. 15, 2005, Application No. 60/653,663 filed
on Feb. 16, 2005, Application No. 60/653,669 filed on Feb. 16,
2005, Application No. 60/653,899 filed on Feb. 16, 2005,
Application No. 60/653,679 filed on Feb. 16, 2005, Application No.
60/653,847 filed on Feb. 16, 2005, Application No. 60/654,379 filed
on Feb. 17, 2005, Application No. 60/654,368 filed on Feb. 18,
2005, Application No. 60/654,326 filed on Feb. 18, 2005,
Application No. 60/654,196 filed on Feb. 18, 2005, Application No.
60/655,279 filed on Feb. 22, 2005, Application No. 60/655,280 filed
on Feb. 22, 2005, Application No. 60/655,987 filed on Feb. 22,
2005, Application No. 60/655,697 filed on Feb. 22, 2005,
Application No. 60/655,281 filed on Feb. 22, 2005, Application No.
60/657,309 filed on Feb. 28, 2005, Application No. 60/833,131,
filed Jul. 24, 2006, Application No. 60/843,362, filed Sep. 8,
2006, Application No. 60/844,894, filed Sep. 15, 2006, Application
No. 60/844,893, filed on Sep. 15, 2006, Application No. 60/845,604,
filed Sep. 18, 2006, and Application No. 60/910,438, filed on Apr.
5, 2007.
TECHNICAL FIELD
[0005] The described technology is directed to the field of
interacting with rendered documents, and more particularly, to
acting in response to information captured from rendered
documents.
BACKGROUND
[0006] Paper documents have an enduring appeal, as can be seen by
the proliferation of paper documents in the computer age. It has
never been easier to print and publish paper documents than it is
today. Paper documents prevail even though electronic documents are
easier to duplicate, transmit, search and edit.
[0007] Given the popularity of paper documents and the advantages
of electronic documents, it would be useful to combine the benefits
of both.
BRIEF DESCRIPTION OF THE DRAWINGS
[0008] FIG. 1 is a data flow diagram that illustrates the flow of
information in one embodiment of the core system.
[0009] FIG. 2 is a component diagram of components included in a
typical implementation of the system in the context of a typical
operating environment.
[0010] FIG. 3 is a block diagram of an embodiment of a scanner.
[0011] FIG. 4 is a system diagram showing a typical environment in
which the system operates.
[0012] FIG. 5 is a flow diagram showing steps typically performed
by the system in order to perform an action in response to a user's
capturing of a keyword.
[0013] FIG. 6 is a table diagram showing sample contents of the
keyword action table.
[0014] FIG. 7 is a table diagram showing sample contents of a
document action map for particular document.
[0015] FIG. 8 is a flow diagram showing steps typically performed
by the system in order to perform an action in response to a user's
capturing material not related to a keyword.
[0016] FIG. 9 is a flow diagram showing steps typically performed
by the system in order to present advertising in response to
identifying a document.
DETAILED DESCRIPTION
[0017] Overview
[0018] A software and/or hardware system for triggering actions,
such as advertising, in response to optically or acoustically
capturing keywords from a rendered document or in response to
identifying a document based on the captured keywords is described
("the system"). Keywords as used here mean one or more words,
icons, symbols, or images. While the terms "word" and "words" are
often used in this application, icons, symbols, or images can be
employed in some embodiments. Keywords as used here also refer to
phrases comprised of one or more adjacent symbols. Keywords as used
here include words relating to topics or subjects discussed in a
rendered document or a portion of a rendered document identified in
response to a capture.
[0019] Keywords can be considered to be "overloaded"--that is, they
have some associated meaning or action beyond their common (e.g.,
visual) meaning to the user as text or symbols. In some embodiments
the association between keywords and meanings or actions is
established by means of markup processes or data. In some
embodiments the association between keywords or documents and
meanings or actions is known to the system at the time the capture
or identification is made. In some embodiments the association
between keywords or documents and meanings or actions is
established after a capture or identification has been made.
Meanings or actions may optionally include displaying associated
annotations or related content, visually indicating on a dynamic
display that certain keywords visible on the display have special
meaning or are actionable (for example, they respond to a mouse
click, the system presents a menu of possible selections when the
cursor hovers over the keyword, and so on).
[0020] In some embodiments, the system identifies a document and
uses the content of the document to trigger and select advertising
to be presented to a user. In some cases, the system may analyze
the document and associate the content of the document with one or
more keywords. In some cases, the system chooses the advertising
(the actions) based on the content of the entire document. In some
cases, the system chooses the advertising based on a portion of the
document. In some cases, the system chooses the advertising based
on content of the document not used when identifying the
document.
[0021] Part I--Introduction
1. Nature of the System
[0022] For every paper document that has an electronic counterpart,
there exists a discrete amount of information in the paper document
that can identify the electronic counterpart. In some embodiments,
the system uses a sample of text captured from a paper document,
for example using a handheld scanner, to identify and locate an
electronic counterpart of the document. In most cases, the amount
of text needed by the facility is very small in that a few words of
text from a document can often function as an identifier for the
paper document and as a link to its electronic counterpart. In
addition, the system may use those few words to identify not only
the document, but also a location within the document.
[0023] Thus, paper documents and their digital counterparts can be
associated in many useful ways using the system discussed
herein.
[0024] 1.1. A Quick Overview of the Future
[0025] Once the system has associated a piece of text in a paper
document with a particular digital entity has been established, the
system is able to build a huge amount of functionality on that
association.
[0026] It is increasingly the case that most paper documents have
an electronic counterpart that is accessible on the World Wide Web
or from some other online database or document corpus, or can be
made accessible, such as in response to the payment of a fee or
subscription. At the simplest level, then, when a user scans a few
words in a paper document, the system can retrieve that electronic
document or some part of it, or display it, email it to somebody,
purchase it, print it or post it to a web page. As additional
examples, scanning a few words of a book that a person is reading
over breakfast could cause the audio-book version in the person's
car to begin reading from that point when s/he starts driving to
work, or scanning the serial number on a printer cartridge could
begin the process of ordering a replacement.
[0027] The system implements these and many other examples of
"paper/digital integration" without requiring changes to the
current processes of writing, printing and publishing documents,
giving such conventional rendered documents a whole new layer of
digital functionality.
[0028] 1.2. Terminology
[0029] A typical use of the system begins with using an optical
scanner to scan text from a paper document, but it is important to
note that other methods of capture from other types of document are
equally applicable. The system is therefore sometimes described as
scanning or capturing text from a rendered document, where those
terms are defined as follows:
[0030] A rendered document is a printed document or a document
shown on a display or monitor. It is a document that is perceptible
to a human, whether in permanent form or on a transitory
display.
[0031] Scanning or capturing is the process of systematic
examination to obtain information from a rendered document. The
process may involve optical capture using a scanner or camera (for
example a camera in a cellphone), or it may involve reading aloud
from the document into an audio capture device or typing it on a
keypad or keyboard. In some embodiments, optical capture is
achieved by determining what data is optically visible to a user
(e.g., rendered) on all or part of a dynamic display. This optical
capture of visible data may be accomplished by analyzing a storage
buffer of the display (for example, by performing optical character
recognition or other image analysis on an image stored in the
display buffer), by intercepting and analyzing changes being made
to a dynamic display (for example by analyzing new data being
written to a display when the user changes the data being viewed by
scrolling within a window), by requesting information about the
displayed data from the application or operating system components
responsible for generating the displayed data or having access to
the displayed data, or by otherwise determining what keywords and
other content are currently in view of the user. In some
embodiments text rendered on a dynamic display is converted to a
sequence of signatures (for example by taking successive groups of
100 characters in a sliding window), and a database is consulted to
determine whether there are associated actions or content for any
of these signatures. For more examples of scanning and capturing,
see Section 15.
2. Introduction to the System
[0032] This section describes some of the devices, processes and
systems that constitute a system for paper/digital integration. In
various embodiments, the system builds a wide variety of services
and applications on this underlying core that provides the basic
functionality.
[0033] 2.1. The Processes
[0034] FIG. 1 is a data flow diagram that illustrates the flow of
information in one embodiment of the core system. Other embodiments
may not use all of the stages or elements illustrated here, while
some will use many more.
[0035] Text from a rendered document is captured 100, typically in
optical form by an optical scanner or audio form by a voice
recorder, and this image or sound data is then processed 102, for
example to remove artifacts of the capture process or to improve
the signal-to-noise ratio. A recognition process 104 such as OCR,
speech recognition, or autocorrelation then optionally converts the
data into one or more signatures, comprised in some embodiments of
text, text offsets, or other symbols. Alternatively, the system
performs an alternate form of extracting document signature from
the rendered document. The signature represents a set of possible
text transcriptions in some embodiments. This process may be
influenced by feedback from other stages, for example, if the
search process and context analysis 110 have identified some
candidate documents from which the capture may originate, thus
narrowing the possible interpretations of the original capture.
[0036] A post-processing 106 stage may take the output of the
recognition process and filter it or perform such other operations
upon it as may be useful. Depending upon the embodiment
implemented, it may be possible at this stage to deduce some direct
actions 107 to be taken immediately without reference to the later
stages, such as where a phrase or symbol has been captured which
contains sufficient information in itself to convey the user's
intent. In these cases no digital counterpart document need be
referenced, or even known to the system.
[0037] Typically, however, the next stage will be to construct a
query 108 or a set of queries for use in searching. Some aspects of
the query construction may depend on the search process used and so
cannot be performed until the next stage, but there will typically
be some operations, such as the removal of obviously misrecognized
or irrelevant characters, which can be performed in advance.
[0038] The query or queries are then passed to the search and
context analysis stage 110. Here, the system optionally attempts to
identify the document from which the original data was captured. To
do so, the system typically uses search indices and search engines
112, knowledge about the user 114 and knowledge about the user's
context or the context in which the capture occurred 116. Search
engine 112 may employ and/or index information specifically about
rendered documents, about their digital counterpart documents, and
about documents that have a web (internet) presence). It may write
to, as well as read from, many of these sources and, as has been
mentioned, it may feed information into other stages of the
process, for example by giving the recognition system 104
information about the language, font, rendering and likely next
words based on its knowledge of the candidate documents.
[0039] In some circumstances the next stage will be to retrieve 120
a copy of the document or documents that have been identified. The
sources of the documents 124 may be directly accessible, for
example from a local filing system or database or a web server, or
they may need to be contacted via some access service 122 which
might enforce authentication, security or payment or may provide
other services such as conversion of the document into a desired
format.
[0040] Applications of the system may take advantage of the
association of extra functionality or data with part or all of a
document. For example, advertising applications discussed in
Section 10.4 may use an association of particular advertising
messages or subjects with portions of a document. This extra
associated functionality or data can be thought of as one or more
overlays on the document, and is referred to herein as "markup."
The next stage of the process 130, then, is to identify any markup
relevant to the captured data. Such markup may be provided by the
user, the originator, or publisher of the document, or some other
party, and may be directly accessible from some source 132 or may
be generated by some service 134. In various embodiments, markup
can be associated with, and apply to, a rendered document and/or
the digital counterpart to a rendered document, or to groups of
either or both of these documents.
[0041] Lastly, as a result of the earlier stages, some actions may
be taken 140. These may be default actions such as simply recording
the information found, they may be dependent on the data or
document, or they may be derived from the markup analysis.
Sometimes the action will simply be to pass the data to another
system. In some cases the various possible actions appropriate to a
capture at a specific point in a rendered document will be
presented to the user as a menu on an associated display, for
example on a local display 332, on a computer display 212 or a
mobile phone or PDA display 216. If the user doesn't respond to the
menu, the default actions can be taken.
[0042] 2.2. The Components
[0043] FIG. 2 is a component diagram of components included in a
typical implementation of the system in the context of a typical
operating environment. As illustrated, the operating environment
includes one or more optical scanning capture devices 202 or voice
capture devices 204. In some embodiments, the same device performs
both functions. Each capture device is able to communicate with
other parts of the system such as a computer 212 and a mobile
station 216 (e.g., a mobile phone or PDA) using either a direct
wired or wireless connection, or through the network 220, with
which it can communicate using a wired or wireless connection, the
latter typically involving a wireless base station 214. In some
embodiments, the capture device is integrated in the mobile
station, and optionally shares some of the audio and/or optical
components used in the device for voice communications and
picture-taking.
[0044] Computer 212 may include a memory containing computer
executable instructions for processing an order from scanning
devices 202 and 204. As an example, an order can include an
identifier (such as a serial number of the scanning device 202/204
or an identifier that partially or uniquely identifies the user of
the scanner), scanning context information (e.g., time of scan,
location of scan, etc.) and/or scanned information (such as a text
string) that is used to uniquely identify the document being
scanned. In alternative embodiments, the operating environment may
include more or less components.
[0045] Also available on the network 220 are search engines 232,
document sources 234, user account services 236, markup services
238 and other network services 239. The network 220 may be a
corporate intranet, the public Internet, a mobile phone network or
some other network, or any interconnection of the above.
[0046] Regardless of the manner by which the devices are coupled to
each other, they may all may be operable in accordance with
well-known commercial transaction and communication protocols
(e.g., Internet Protocol (IP)). In various embodiments, the
functions and capabilities of scanning device 202, computer 212,
and mobile station 216 may be wholly or partially integrated into
one device. Thus, the terms scanning device, computer, and mobile
station can refer to the same device depending upon whether the
device incorporates functions or capabilities of the scanning
device 202, computer 212 and mobile station 216. In addition, some
or all of the functions of the search engines 232, document sources
234, user account services 236, markup services 238 and other
network services 239 may be implemented on any of the devices
and/or other devices not shown.
[0047] 2.3. The Capture Device
[0048] As described above, the capture device may capture text
using an optical scanner that captures image data from the rendered
document, or using an audio recording device that captures a user's
spoken reading of the text, or other methods. Some embodiments of
the capture device may also capture images, graphical symbols and
icons, etc., including machine readable codes such as barcodes. The
device may be exceedingly simple, consisting of little more than
the transducer, some storage, and a data interface, relying on
other functionality residing elsewhere in the system, or it may be
a more full-featured device. For illustration, this section
describes a device based around an optical scanner and with a
reasonable number of features.
[0049] Scanners are well known devices that capture and digitize
images. An offshoot of the photocopier industry, the first scanners
were relatively large devices that captured an entire document page
at once. Recently, portable optical scanners have been introduced
in convenient form factors, such as a penshaped handheld
device.
[0050] In some embodiments, the portable scanner is used to scan
text, graphics, or symbols from rendered documents. The portable
scanner has a scanning element that captures text, symbols,
graphics, etc, from rendered documents. In addition to documents
that have been printed on paper, in some embodiments, rendered
documents include documents that have been displayed on a screen
such as a CRT monitor or LCD display.
[0051] FIG. 3 is a block diagram of an embodiment of a scanner 302.
The scanner 302 comprises an optical scanning head 308 to scan
information from rendered documents and convert it to
machine-compatible data, and an optical path 306, typically a lens,
an aperture or an image conduit to convey the image from the
rendered document to the scanning head. The scanning head 308 may
incorporate a Charge-Coupled Device (CCD), a Complementary Metal
Oxide Semiconductor (CMOS) imaging device, or an optical sensor of
another type.
[0052] A microphone 310 and associated circuitry convert the sound
of the environment (including spoken words) into machine-compatible
signals, and other input facilities exist in the form of buttons,
scroll-wheels or other tactile sensors such as touch-pads 314.
[0053] Feedback to the user is possible through a visual display or
indicator lights 332, through a loudspeaker or other audio
transducer 334 and through a vibrate module 336.
[0054] The scanner 302 comprises logic 326 to interact with the
various other components, possibly processing the received signals
into different formats and/or interpretations. Logic 326 may be
operable to read and write data and program instructions stored in
associated storage 330 such as RAM, ROM, flash, or other suitable
memory. It may read a time signal from the clock unit 328. The
scanner 302 also includes an interface 316 to communicate scanned
information and other signals to a network and/or an associated
computing device. In some embodiments, the scanner 302 may have an
on-board power supply 332. In other embodiments, the scanner 302
may be powered from a tethered connection to another device, such
as a Universal Serial Bus (USB) connection.
[0055] As an example of one use of scanner 302, a reader may scan
some text from a newspaper article with scanner 302. The text is
scanned as a bit-mapped image via the scanning head 308. Logic 326
causes the bit-mapped image to be stored in memory 330 with an
associated time-stamp read from the clock unit 328. Logic 326 may
also perform optical character recognition (OCR) or other post-scan
processing on the bit-mapped image to convert it to text. Logic 326
may optionally extract a signature from the image, for example by
performing a convolution-like process to locate repeating
occurrences of characters, symbols or objects, and determine the
distance or number of other characters, symbols, or objects between
these repeated elements. The reader may then upload the bit-mapped
image (or text or other signature, if post-scan processing has been
performed by logic 326) to an associated computer via interface
316.
[0056] As an example of another use of scanner 302, a reader may
capture some text from an article as an audio file by using
microphone 310 as an acoustic capture port. Logic 326 causes audio
file to be stored in memory 328. Logic 326 may also perform voice
recognition or other post-scan processing on the audio file to
convert it to text. As above, the reader may then upload the audio
file (or text produced by post-scan processing performed by logic
326) to an associated computer via interface 316.
[0057] Part II--Overview of the Areas of the Core System
[0058] As paper-digital integration becomes more common, there are
many aspects of existing technologies that can be changed to take
better advantage of this integration, or to enable it to be
implemented more effectively. This section highlights some of those
issues.
3. Search
[0059] Searching a corpus of documents, even so large a corpus as
the World Wide Web, has become commonplace for ordinary users, who
use a keyboard to construct a search query which is sent to a
search engine. This section and the next discuss the aspects of
both the construction of a query originated by a capture from a
rendered document, and the search engine that handles such a
query.
[0060] 3.1. Scan/Speak/Type as Search Query
[0061] Use of the described system typically starts with a few
words being captured from a rendered document using any of several
methods, including those mentioned in Section 1.2 above. Where the
input needs some interpretation to convert it to text, for example
in the case of OCR or speech input, there may be end-to-end
feedback in the system so that the document corpus can be used to
enhance the recognition process. End-to-end feedback can be applied
by performing an approximation of the recognition or
interpretation, identifying a set of one or more candidate matching
documents, and then using information from the possible matches in
the candidate documents to further refine or restrict the
recognition or interpretation. Candidate documents can be weighted
according to their probable relevance (for example, based on then
number of other users who have scanned in these documents, or their
popularity on the Internet), and these weights can be applied in
this iterative recognition process.
[0062] 3.2. Short Phrase Searching
[0063] Because the selective power of a search query based on a few
words is greatly enhanced when the relative positions of these
words are known, only a small amount of text need be captured for
the system to identify the text's location in a corpus. Most
commonly, the input text will be a contiguous sequence of words,
such as a short phrase.
[0064] 3.2.1. Finding Document and Location in Document from Short
Capture
[0065] In addition to locating the document from which a phrase
originates, the system can identify the location in that document
and can take action based on this knowledge.
[0066] 3.2.2. Other Methods of Finding Location
[0067] The system may also employ other methods of discovering the
document and location, such as by using watermarks or other special
markings on the rendered document.
[0068] 3.3. Incorporation of Other Factors in Search Query
[0069] In addition to the captured text, other factors (i.e.,
information about user identity, profile, and context) may form
part of the search query, such as the time of the capture, the
identity and geographical location of the user, knowledge of the
user's habits and recent activities, etc.
[0070] The document identity and other information related to
previous captures, especially if they were quite recent, may form
part of a search query.
[0071] The identity of the user may be determined from a unique
identifier associated with a capturing device, and/or biometric or
other supplemental information (speech patterns, fingerprints,
etc.).
[0072] 3.4. Knowledge of Nature of Unreliability in Search Query
(OCR Errors etc)
[0073] The search query can be constructed taking into account the
types of errors likely to occur in the particular capture method
used. One example of this is an indication of suspected errors in
the recognition of specific characters; in this instance a search
engine may treat these characters as wildcards, or assign them a
lower priority.
[0074] 3.5. Local Caching of Index for Performance/Offline use
[0075] Sometimes the capturing device may not be in communication
with the search engine or corpus at the time of the data capture.
For this reason, information helpful to the offline use of the
device may be downloaded to the device in advance, or to some
entity with which the device can communicate. In some cases, all or
a substantial part of an index associated with a corpus may be
downloaded. This topic is discussed further in Section 15.3.
[0076] 3.6. Queries, in Whatever Form, may be Recorded and Acted on
Later
[0077] If there are likely to be delays or cost associated with
communicating a query or receiving the results, this pre-loaded
information can improve the performance of the local device, reduce
communication costs, and provide helpful and timely user
feedback.
[0078] In the situation where no communication is available (the
local device is "offline"), the queries may be saved and
transmitted to the rest of the system at such a time as
communication is restored.
[0079] In these cases it may be important to transmit a timestamp
with each query. The time of the capture can be a significant
factor in the interpretation of the query. For example, Section
13.1 discusses the importance of the time of capture in relation to
earlier captures. It is important to note that the time of capture
will not always be the same as the time that the query is
executed.
[0080] 3.7. Parallel Searching
[0081] For performance reasons, multiple queries may be launched in
response to a single capture, either in sequence or in parallel.
Several queries may be sent in response to a single capture, for
example as new words are added to the capture, or to query multiple
search engines in parallel.
[0082] For example, in some embodiments, the system sends queries
to a special index for the current document, to a search engine on
a local machine, to a search engine on the corporate network, and
to remote search engines on the Internet.
[0083] The results of particular searches may be given higher
priority than those from others.
[0084] The response to a given query may indicate that other
pending queries are superfluous; these may be cancelled before
completion.
4. Paper and Search Engines
[0085] Often it is desirable for a search engine that handles
traditional online queries also to handle those originating from
rendered documents. Conventional search engines may be enhanced or
modified in a number of ways to make them more suitable for use
with the described system.
[0086] The search engine and/or other components of the system may
create and maintain indices that have different or extra features.
The system may modify an incoming paper-originated query or change
the way the query is handled in the resulting search, thus
distinguishing these paper-originated queries from those coming
from queries typed into web browsers and other sources. And the
system may take different actions or offer different options when
the results are returned by the searches originated from paper as
compared to those from other sources. Each of these approaches is
discussed below.
[0087] 4.1. Indexing
[0088] Often, the same index can be searched using either
paper-originated or traditional queries, but the index may be
enhanced for use in the current system in a variety of ways.
[0089] 4.1.1. Knowledge about the Paper Form
[0090] Extra fields can be added to such an index that will help in
the case of a paper-based search.
Index Entry Indicating Document Availability in Paper Form
[0091] The first example is a field indicating that the document is
known to exist or be distributed in paper form. The system may give
such documents higher priority if the query comes from paper.
Knowledge of Popularity Paper Form
[0092] In this example statistical data concerning the popularity
of paper documents (and, optionally, concerning sub-regions within
these documents)--for example the amount of scanning activity,
circulation numbers provided by the publisher or other sources,
etc--is used to give such documents higher priority, to boost the
priority of digital counterpart documents (for example, for
browser-based queries or web searches), etc.
Knowledge of Rendered Format
[0093] Another important example may be recording information about
the layout of a specific rendering of a document.
[0094] For a particular edition of a book, for example, the index
may include information about where the line breaks and page breaks
occur, which fonts were used, any unusual capitalization.
[0095] The index may also include information about the proximity
of other items on the page, such as images, text boxes, tables and
advertisements.
Use of Semantic Information in Original
[0096] Lastly, semantic information that can be deduced from the
source markup but is not apparent in the paper document, such as
the fact that a particular piece of text refers to an item offered
for sale, or that a certain paragraph contains program code, may
also be recorded in the index.
[0097] 4.1.2. Indexing in the Knowledge of the Capture Method
[0098] A second factor that may modify the nature of the index is
the knowledge of the type of capture likely to be used. A search
initiated by an optical scan may benefit if the index takes into
account characters that are easily confused in the OCR process, or
includes some knowledge of the fonts used in the document.
Similarly, if the query is from speech recognition, an index based
on similar-sounding phonemes may be much more efficiently searched.
An additional factor that may affect the use of the index in the
described model is the importance of iterative feedback during the
recognition process. If the search engine is able to provide
feedback from the index as the text is being captured, it can
greatly increase the accuracy of the capture.
Indexing Using Offsets
[0099] If the index is likely to be searched using the
offset-based/autocorrelation OCR methods described in Section 9, in
some embodiments, the system stores the appropriate offset or
signature information in an index.
[0100] 4.1.3. Multiple Indices
[0101] Lastly, in the described system, it may be common to conduct
searches on many indices. Indices may be maintained on several
machines on a corporate network. Partial indices may be downloaded
to the capture device, or to a machine close to the capture device.
Separate indices may be created for users or groups of users with
particular interests, habits or permissions. An index may exist for
each filesystem, each directory, even each file on a user's hard
disk. Indexes are published and subscribed to by users and by
systems. It will be important, then, to construct indices that can
be distributed, updated, merged and separated efficiently.
[0102] 4.2. Handling the Queries
[0103] 4.2.1. Knowing the Capture is from Paper
[0104] A search engine may take different actions when it
recognizes that a search query originated from a paper document.
The engine might handle the query in a way that is more tolerant to
the types of errors likely to appear in certain capture methods,
for example.
[0105] It may be able to deduce this from some indicator included
in the query (for example a flag indicating the nature of the
capture), or it may deduce this from the query itself (for example,
it may recognize errors or uncertainties typical of the OCR
process).
[0106] Alternatively, queries from a capture device can reach the
engine by a different channel or port or type of connection than
those from other sources, and can be distinguished in that way. For
example, some embodiments of the system will route queries to the
search engine by way of a dedicated gateway. Thus, the search
engine knows that all queries passing through the dedicated gateway
were originated from a paper document.
[0107] 4.2.2. Use of Context
[0108] Section 13 below describes a variety of different factors
which are external to the captured text itself, yet which can be a
significant aid in identifying a document. These include such
things as the history of recent scans, the longer-term reading
habits of a particular user, the geographic location of a user and
the user's recent use of particular electronic documents. Such
factors are referred to herein as "context."
[0109] Some of the context may be handled by the search engine
itself, and be reflected in the search results. For example, the
search engine may keep track of a user's scanning history, and may
also cross-reference this scanning history to conventional
keyboard-based queries. In such cases, the search engine maintains
and uses more state information about each individual user than do
most conventional search engines, and each interaction with a
search engine may be considered to extend over several searches and
a longer period of time than is typical today.
[0110] Some of the context may be transmitted to the search engine
in the search query (Section 3.3), and may possibly be stored at
the engine so as to play a part in future queries. Lastly, some of
the context will best be handled elsewhere, and so becomes a filter
or secondary search applied to the results from the search
engine.
Data-Stream Input to Search
[0111] An important input into the search process is the broader
context of how the community of users is interacting with the
rendered version of the document--for example, which documents are
most widely read and by whom. There are analogies with a web search
returning the pages that are most frequently linked to, or those
that are most frequently selected from past search results. For
further discussion of this topic, see Sections 13.4 and 14.2.
[0112] 4.2.3. Document Sub-Regions
[0113] The described system can emit and use not only information
about documents as a whole, but also information about sub-regions
of documents, even down to individual words. Many existing search
engines concentrate simply on locating a document or file that is
relevant to a particular query. Those that can work on a finer
grain and identify a location within a document will provide a
significant benefit for the described system.
[0114] 4.3. Returning the Results
[0115] The search engine may use some of the further information it
now maintains to affect the results returned.
[0116] The system may also return certain documents to which the
user has access only as a result of being in possession of the
paper copy (Section 7.4).
[0117] The search engine may also offer new actions or options
appropriate to the described system, beyond simple retrieval of the
text.
5. Markup, Annotations and Metadata
[0118] In addition to performing the capture-search-retrieve
process, the described system also associates extra functionality
with a document, and in particular with specific locations or
segments of text within a document. This extra functionality is
often, though not exclusively, associated with the rendered
document by being associated with its electronic counterpart. As an
example, hyperlinks in a web page could have the same functionality
when a printout of that web page is scanned. In some cases, the
functionality is not defined in the electronic document, but is
stored or generated elsewhere.
[0119] This layer of added functionality is referred to herein as
"markup."
[0120] 5.1. Overlays, Static and Dynamic
[0121] One way to think of the markup is as an "overlay" on the
document, which provides further information about--and may specify
actions associated with--the document or some portion of it. The
markup may include human-readable content, but is often invisible
to a user and/or intended for machine use. Examples include options
to be displayed in a popup-menu on a nearby display when a user
captures text from a particular area in a rendered document, or
audio samples that illustrate the pronunciation of a particular
phrase.
[0122] 5.1.1. Several Layers, Possibly from Several Sources
[0123] Any document may have multiple overlays simultaneously, and
these may be sourced from a variety of locations. Markup data may
be created or supplied by the author of the document, or by the
user, or by some other party.
[0124] Markup data may be attached to the electronic document or
embedded in it. It may be found in a conventional location (for
example, in the same place as the document but with a different
filename suffix). Markup data may be included in the search results
of the query that located the original document, or may be found by
a separate query to the same or another search engine. Markup data
may be found using the original captured text and other capture
information or contextual information, or it may be found using
already-deduced information about the document and location of the
capture. Markup data may be found in a location specified in the
document, even if the markup itself is not included in the
document.
[0125] The markup may be largely static and specific to the
document, similar to the way links on a traditional html web page
are often embedded as static data within the html document, but
markup may also be dynamically generated and/or applied to a large
number of documents. An example of dynamic markup is information
attached to a document that includes the up-to-date share price of
companies mentioned in that document. An example of broadly applied
markup is translation information that is automatically available
on multiple documents or sections of documents in a particular
language.
[0126] 5.1.2. Personal "Plug-In" Layers
[0127] Users may also install, or subscribe to particular sources
of, markup data, thus personalizing the system's response to
particular captures.
[0128] 5.2. Keywords and Phrases, Trademarks and Logos
[0129] Some elements in documents may have particular "markup" or
functionality associated with them based on their own
characteristics rather than their location in a particular
document. Examples include special marks that are printed in the
document purely for the purpose of being scanned, as well as logos
and trademarks that can link the user to further information about
the organization concerned. The same applies to "keywords" or "key
phrases" in the text. Organizations might register particular
phrases with which they are associated, or with which they would
like to be associated, and attach certain markup to them that would
be available wherever that phrase was scanned.
[0130] Any word, phrase, etc. may have associated markup. For
example, the system may add certain items to a pop-up menu (e.g., a
link to an online bookstore) whenever the user captures the word
"book," or the title of a book, or a topic related to books. In
some embodiments, of the system, digital counterpart documents or
indices are consulted to determine whether a capture occurred near
the word "book," or the title of a book, or a topic related to
books--and the system behavior is modified in accordance with this
proximity to keyword elements. In the preceding example, note that
markup enables data captured from non-commercial text or documents
to trigger a commercial transaction.
[0131] 5.3. User-Supplied Content
[0132] 5.3.1. User Comments and Annotations, Including
Multimedia
[0133] Annotations are another type of electronic information that
may be associated with a document. For example, a user can attach
an audio file of his/her thoughts about a particular document for
later retrieval as voice annotations. As another example of a
multimedia annotation, a user may attach photographs of places
referred to in the document. The user generally supplies
annotations for the document but the system can associate
annotations from other sources (for example, other users in a work
group may share annotations).
[0134] 5.3.2. Notes from Proof-Reading
[0135] An important example of user-sourced markup is the
annotation of paper documents as part of a proofreading, editing or
reviewing process.
[0136] 5.4. Third-party Content
[0137] As mentioned earlier, markup data may often be supplied by
third parties, such as by other readers of the document. Online
discussions and reviews are a good example, as are
community-managed information relating to particular works,
volunteer-contributed translations and explanations.
[0138] Another example of third-party markup is that provided by
advertisers.
[0139] 5.5. Dynamic Markup Based on Other Users' Data Streams
[0140] By analyzing the data captured from documents by several or
all users of the system, markup can be generated based on the
activities and interests of a community. An example might be an
online bookstore that creates markup or annotations that tell the
user, in effect, "People who enjoyed this book also enjoyed . . .
." The markup may be less anonymous, and may tell the user which of
the people in his/her contact list have also read this document
recently. Other examples of datastream analysis are included in
Section 14.
[0141] 5.6. Markup Based on External Events and Data Sources
[0142] Markup will often be based on external events and data
sources, such as input from a corporate database, information from
the public Internet, or statistics gathered by the local operating
system.
[0143] Data sources may also be more local, and in particular may
provide information about the user's context--his/her identity,
location and activities. For example, the system might communicate
with the user's mobile phone and offer a markup layer that gives
the user the option to send a document to somebody that the user
has recently spoken to on the phone.
6. Authentication, Personalization and Security
[0144] In many situations, the identity of the user will be known.
Sometimes this will be an "anonymous identity," where the user is
identified only by the serial number of the capture device, for
example. Typically, however, it is expected that the system will
have a much more detailed knowledge of the user, which can be used
for personalizing the system and to allow activities and
transactions to be performed in the user's name.
[0145] 6.1. User History and "Life Library"
[0146] One of the simplest and yet most useful functions that the
system can perform is to keep a record for a user of the text that
s/he has captured and any further information related to that
capture, including the details of any documents found, the location
within that document and any actions taken as a result.
[0147] This stored history is beneficial for both the user and the
system.
[0148] 6.1.1. For the User
[0149] The user can be presented with a "Life Library," a record of
everything s/he has read and captured. This may be simply for
personal interest, but may be used, for example, in a library by an
academic who is gathering material for the bibliography of his next
paper.
[0150] In some circumstances, the user may wish to make the library
public, such as by publishing it on the web in a similar manner to
a weblog, so that others may see what s/he is reading and finds of
interest.
[0151] Lastly, in situations where the user captures some text and
the system cannot immediately act upon the capture (for example,
because an electronic version of the document is not yet available)
the capture can be stored in the library and can be processed
later, either automatically or in response to a user request. A
user can also subscribe to new markup services and apply them to
previously captured scans.
[0152] 6.1.2. For the System
[0153] A record of a user's past captures is also useful for the
system. Many aspects of the system operation can be enhanced by
knowing the user's reading habits and history. The simplest example
is that any scan made by a user is more likely to come from a
document that the user has scanned in the recent past, and in
particular if the previous scan was within the last few minutes it
is very likely to be from the same document. Similarly, it is more
likely that a document is being read in start-to-finish order.
Thus, for English documents, it is also more likely that later
scans will occur farther down in the document. Such factors can
help the system establish the location of the capture in cases of
ambiguity, and can also reduce the amount of text that needs to be
captured.
[0154] 6.2. Scanner as Payment, Identity and Authentication
Device
[0155] Because the capture process generally begins with a device
of some sort, typically an optical scanner or voice recorder, this
device may be used as a key that identifies the user and authorizes
certain actions.
[0156] 6.2.1. Associate Scanner with Phone or Other Account
[0157] The device may be embedded in a mobile phone or in some
other way associated with a mobile phone account. For example, a
scanner may be associated with a mobile phone account by inserting
a SIM card associated with the account into the scanner. Similarly,
the device may be embedded in a credit card or other payment card,
or have the facility for such a card to be connected to it. The
device may therefore be used as a payment token, and financial
transactions may be initiated by the capture from the rendered
document.
[0158] 6.2.2. Using Scanner Input for Authentication
[0159] The scanner may also be associated with a particular user or
account through the process of scanning some token, symbol or text
associated with that user or account. In addition, scanner may be
used for biometric identification, for example by scanning the
fingerprint of the user. In the case of an audio-based capture
device, the system may identify the user by matching the voice
pattern of the user or by requiring the user to speak a certain
password or phrase.
[0160] For example, where a user scans a quote from a book and is
offered the option to buy the book from an online retailer, the
user can select this option, and is then prompted to scan his/her
fingerprint to confirm the transaction.
[0161] See also Sections 15.5 and 15.6.
[0162] 6.2.3. Secure Scanning Device
[0163] When the capture device is used to identify and authenticate
the user, and to initiate transactions on behalf of the user, it is
important that communications between the device and other parts of
the system are secure. It is also important to guard against such
situations as another device impersonating a scanner, and so-called
"man in the middle" attacks where communications between the device
and other components are intercepted.
[0164] Techniques for providing such security are well understood
in the art; in various embodiments, the hardware and software in
the device and elsewhere in the system are configured to implement
such techniques.
7. Publishing Models and Elements
[0165] An advantage of the described system is that there is no
need to alter the traditional processes of creating, printing or
publishing documents in order to gain many of the system's
benefits. There are reasons, though, that the creators or
publishers of a document--hereafter simply referred to as the
"publishers"--may wish to create functionality to support the
described system.
[0166] This section is primarily concerned with the published
documents themselves. For information about other related
commercial transactions, such as advertising, see Section 10
entitled "P-Commerce."
[0167] 7.1. Electronic Companions to Printed Documents
[0168] The system allows for printed documents to have an
associated electronic presence. Conventionally publishers often
ship a CD-ROM with a book that contains further digital
information, tutorial movies and other multimedia data, sample code
or documents, or further reference materials. In addition, some
publishers maintain web sites associated with particular
publications which provide such materials, as well as information
which may be updated after the time of publishing, such as errata,
further comments, updated reference materials, bibliographies and
further sources of relevant data, and translations into other
languages. Online forums allow readers to contribute their comments
about the publication.
[0169] The described system allows such materials to be much more
closely tied to the rendered document than ever before, and allows
the discovery of and interaction with them to be much easier for
the user. By capturing a portion of text from the document, the
system can automatically connect the user to digital materials
associated with the document, and more particularly associated with
that specific part of the document. Similarly, the user can be
connected to online communities that discuss that section of the
text, or to annotations and commentaries by other readers. In the
past, such information would typically need to be found by
searching for a particular page number or chapter.
[0170] An example application of this is in the area of academic
textbooks (Section 17.5).
[0171] 7.2. "Subscriptions" to Printed Documents
[0172] Some publishers may have mailing lists to which readers can
subscribe if they wish to be notified of new relevant matter or
when a new edition of the book is published. With the described
system, the user can register an interest in particular documents
or parts of documents more easily, in some cases even before the
publisher has considered providing any such functionality. The
reader's interest can be fed to the publisher, possibly affecting
their decision about when and where to provide updates, further
information, new editions or even completely new publications on
topics that have proved to be of interest in existing books.
[0173] 7.3. Printed Marks with Special Meaning or Containing
Special Data
[0174] Many aspects of the system are enabled simply through the
use of the text already existing in a document. If the document is
produced in the knowledge that it may be used in conjunction with
the system, however, extra functionality can be added by printing
extra information in the form of special marks, which may be used
to identify the text or a required action more closely, or
otherwise enhance the document's interaction with the system. The
simplest and most important example is an indication to the reader
that the document is definitely accessible through the system. A
special icon might be used, for example, to indicate that this
document has an online discussion forum associated with it.
[0175] Such symbols may be intended purely for the reader, or they
may be recognized by the system when scanned and used to initiate
some action. Sufficient data may be encoded in the symbol to
identify more than just the symbol: it may also store information,
for example about the document, edition, and location of the
symbol, which could be recognized and read by the system.
[0176] 7.4. Authorization Through Possession of the Paper
Document
[0177] There are some situations where possession of or access to
the printed document would entitle the user to certain privileges,
for example, the access to an electronic copy of the document or to
additional materials. With the described system, such privileges
could be granted simply as a result of the user capturing portions
of text from the document, or scanning specially printed symbols.
In cases where the system needed to ensure that the user was in
possession of the entire document, it might prompt the user to scan
particular items or phrases from particular pages, e.g. "the second
line of page 46."
[0178] 7.5. Documents which Expire
[0179] If the printed document is a gateway to extra materials and
functionality, access to such features can also be time-limited.
After the expiry date, a user may be required to pay a fee or
obtain a newer version of the document to access the features
again. The paper document will, of course, still be usable, but
will lose some of its enhanced electronic functionality. This may
be desirable, for example, because there is profit for the
publisher in receiving fees for access to electronic materials, or
in requiring the user to purchase new editions from time to time,
or because there are disadvantages associated with outdated
versions of the printed document remaining in circulation. Coupons
are an example of a type of commercial document that can have an
expiration date.
[0180] 7.6. Popularity Analysis and Publishing Decisions
[0181] Section 10.5 discusses the use of the system's statistics to
influence compensation of authors and pricing of
advertisements.
[0182] In some embodiments, the system deduces the popularity of a
publication from the activity in the electronic community
associated with it as well as from the use of the paper document.
These factors may help publishers to make decisions about what they
will publish in future. If a chapter in an existing book, for
example, turns out to be exceedingly popular, it may be worth
expanding into a separate publication.
8. Document Access Services
[0183] An important aspect of the described system is the ability
to provide to a user who has access to a rendered copy of a
document access to an electronic version of that document. In some
cases, a document is freely available on a public network or a
private network to which the user has access. The system uses the
captured text to identify, locate and retrieve the document, in
some cases displaying it on the user's screen or depositing it in
their email inbox.
[0184] In some cases, a document will be available in electronic
form, but for a variety of reasons may not be accessible to the
user. There may not be sufficient connectivity to retrieve the
document, the user may not be entitled to retrieve it, there may be
a cost associated with gaining access to it, or the document may
have been withdrawn and possibly replaced by a new version, to name
just a few possibilities. The system typically provides feedback to
the user about these situations.
[0185] As mentioned in Section 7.4, the degree or nature of the
access granted to a particular user may be different if it is known
that the user already has access to a printed copy of the
document.
[0186] 8.1. Authenticated Document Access
[0187] Access to the document may be restricted to specific users,
or to those meeting particular criteria, or may only be available
in certain circumstances, for example when the user is connected to
a secure network. Section 6 describes some of the ways in which the
credentials of a user and scanner may be established.
[0188] 8.2. Document Purchase--Copyright-Owner Compensation
[0189] Documents that are not freely available to the general
public may still be accessible on payment of a fee, often as
compensation to the publisher or copyright-holder. The system may
implement payment facilities directly or may make use of other
payment methods associated with the user, including those described
in Section 6.2.
[0190] 8.3. Document Escrow and Proactive Retrieval
[0191] Electronic documents are often transient; the digital source
version of a rendered document may be available now but
inaccessible in future. The system may retrieve and store the
existing version on behalf of the user, even if the user has not
requested it, thus guaranteeing its availability should the user
request it in future. This also makes it available for the system's
use, for example for searching as part of the process of
identifying future captures.
[0192] In the event that payment is required for access to the
document, a trusted "document escrow" service can retrieve the
document on behalf of the user, such as upon payment of a modest
fee, with the assurance that the copyright holder will be fully
compensated in future if the user should ever request the document
from the service.
[0193] Variations on this theme can be implemented if the document
is not available in electronic form at the time of capture. The
user can authorize the service to submit a request for or make a
payment for the document on his/her behalf if the electronic
document should become available at a later date.
[0194] 8.4. Association with Other Subscriptions and Accounts
[0195] Sometimes payment may be waived, reduced or satisfied based
on the user's existing association with another account or
subscription. Subscribers to the printed version of a newspaper
might automatically be entitled to retrieve the electronic version,
for example.
[0196] In other cases, the association may not be quite so direct:
a user may be granted access based on an account established by
their employer, or based on their scanning of a printed copy owned
by a friend who is a subscriber.
[0197] 8.5. Replacing Photocopying with Scan-and-Print
[0198] The process of capturing text from a paper document,
identifying an electronic original, and printing that original, or
some portion of that original associated with the capture, forms an
alternative to traditional photocopying with many advantages:
[0199] the paper document need not be in the same location as the
final printout, and in any case need not be there at the same time
[0200] the wear and damage caused to documents by the photocopying
process, especially to old, fragile and valuable documents, can be
avoided [0201] the quality of the copy is typically be much higher
[0202] records may be kept about which documents or portions of
documents are the most frequently copied [0203] payment may be made
to the copyright owner as part of the process [0204] unauthorized
copying may be prohibited
[0205] 8.6. Locating Valuable Originals from Photocopies
[0206] When documents are particularly valuable, as in the case of
legal instruments or documents that have historical or other
particular significance, people may typically work from copies of
those documents, often for many years, while the originals are kept
in a safe location.
[0207] The described system could be coupled to a database which
records the location of an original document, for example in an
archiving warehouse, making it easy for somebody with access to a
copy to locate the archived original paper document.
9. Text Recognition Technologies
[0208] Optical Character Recognition (OCR) technologies have
traditionally focused on images that include a large amount of
text, for example from a flatbed scanner capturing a whole page.
OCR technologies often need substantial training and correcting by
the user to produce useful text. OCR technologies often require
substantial processing power on the machine doing the OCR, and,
while many systems use a dictionary, they are generally expected to
operate on an effectively infinite vocabulary.
[0209] All of the above traditional characteristics may be improved
upon in the described system.
[0210] While this section focuses on OCR, many of the issues
discussed map directly onto other recognition technologies, in
particular speech recognition. As mentioned in Section 3.1, the
process of capturing from paper may be achieved by a user reading
the text aloud into a device which captures audio. Those skilled in
the art will appreciate that principles discussed here with respect
to images, fonts, and text fragments often also apply to audio
samples, user speech models and phonemes.
[0211] 9.1. Optimization for Appropriate Devices
[0212] A scanning device for use with the described system will
often be small, portable, and low power. The scanning device may
capture only a few words at a time, and in some implementations
does not even capture a whole character at once, but rather a
horizontal slice through the text, many such slices being stitched
together to form a recognizable signal from which the text may be
deduced. The scanning device may also have very limited processing
power or storage so, while in some embodiments it may perform all
of the OCR process itself, many embodiments will depend on a
connection to a more powerful device, possibly at a later time, to
convert the captured signals into text. Lastly, it may have very
limited facilities for user interaction, so may need to defer any
requests for user input until later, or operate in a "best-guess"
mode to a greater degree than is common now.
[0213] 9.2. "Uncertain" OCR
[0214] The primary new characteristic of OCR within the described
system is the fact that it will, in general, examine images of text
which exists elsewhere and which may be retrieved in digital form.
An exact transcription of the text is therefore not always required
from the OCR engine. The OCR system may output a set or a matrix of
possible matches, in some cases including probability weightings,
which can still be used to search for the digital original.
[0215] 9.3. Iterative OCR--Guess, Disambiguate, Guess . . .
[0216] If the device performing the recognition is able to contact
the document index at the time of processing, then the OCR process
can be informed by the contents of the document corpus as it
progresses, potentially offering substantially greater recognition
accuracy.
[0217] Such a connection will also allow the device to inform the
user when sufficient text has been captured to identify the digital
source.
[0218] 9.4. Using Knowledge of Likely Rendering
[0219] When the system has knowledge of aspects of the likely
printed rendering of a document--such as the font typeface used in
printing, or the layout of the page, or which sections are in
italics--this too can help in the recognition process. (Section
4.1.1)
[0220] 9.5. Font Caching--Determine Font on Host, Download to
Client
[0221] As candidate source texts in the document corpus are
identified, the font, or a rendering of it, may be downloaded to
the device to help with the recognition.
[0222] 9.6. Autocorrelation and Character Offsets
[0223] While component characters of a text fragment may be the
most recognized way to represent a fragment of text that may be
used as a document signature, other representations of the text may
work sufficiently well that the actual text of a text fragment need
not be used when attempting to locate the text fragment in a
digital document and/or database, or when disambiguating the
representation of a text fragment into a readable form. Other
representations of text fragments may provide benefits that actual
text representations lack. For example, optical character
recognition of text fragments is often prone to errors, unlike
other representations of captured text fragments that may be used
to search for and/or recreate a text fragment without resorting to
optical character recognition for the entire fragment. Such methods
may be more appropriate for some devices used with the current
system.
[0224] Those of ordinary skill in the art and others will
appreciate that there are many ways of describing the appearance of
text fragments. Such characterizations of text fragments may
include, but are not limited to, word lengths, relative word
lengths, character heights, character widths, character shapes,
character frequencies, token frequencies, and the like. In some
embodiments, the offsets between matching text tokens (i.e., the
number of intervening tokens plus one) are used to characterize
fragments of text.
[0225] Conventional OCR uses knowledge about fonts, letter
structure and shape to attempt to determine characters in scanned
text. Embodiments of the present invention are different; they
employ a variety of methods that use the rendered text itself to
assist in the recognition process. These embodiments use characters
(or tokens) to "recognize each other." One way to refer to such
self-recognition is "template matching," and is similar to
"convolution." To perform such self-recognition, the system slides
a copy of the text horizontally over itself and notes matching
regions of the text images. Prior template matching and convolution
techniques encompass a variety of related techniques. These
techniques to tokenize and/or recognize characters/tokens will be
collectively referred to herein as "autocorrelation," as the text
is used to correlate with its own component parts when matching
characters/tokens.
[0226] When autocorrelating, complete connected regions that match
are of interest. This occurs when characters (or groups of
characters) overlay other instances of the same character (or
group). Complete connected regions that match automatically provide
tokenizing of the text into component tokens. As the two copies of
the text are slid past each other, the regions where perfect
matching occurs (i.e., all pixels in a vertical slice are matched)
are noted. When a character/token matches itself, the horizontal
extent of this matching (e.g., the connected matching portion of
the text) also matches.
[0227] Note that at this stage there is no need to determine the
actual identity of each token (i.e., the particular letter, digit
or symbol, or group of these, that corresponds to the token image),
only the offset to the next occurrence of the same token in the
scanned text. The offset number is the distance (number of tokens)
to the next occurrence of the same token. If the token is unique
within the text string, the offset is zero (0). The sequence of
token offsets thus generated is a signature that can be used to
identify the scanned text.
[0228] In some embodiments, the token offsets determined for a
string of scanned tokens are compared to an index that indexes a
corpus of electronic documents based upon the token offsets of
their contents (Section 4.1.2). In other embodiments, the token
offsets determined for a string of scanned tokens are converted to
text, and compared to a more conventional index that indexes a
corpus of electronic documents based upon their contents
[0229] As has been noted earlier, a similar token-correlation
process may be applied to speech fragments when the capture process
consists of audio samples of spoken words.
[0230] 9.7. Font/Character "Self-Recoqnition"
[0231] Conventional template-matching OCR compares scanned images
to a library of character images. In essence, the alphabet is
stored for each font and newly scanned images are compared to the
stored images to find matching characters. The process generally
has an initial delay until the correct font has been identified.
After that, the OCR process is relatively quick because most
documents use the same font throughout. Subsequent images can
therefore be converted to text by comparison with the most recently
identified font library.
[0232] The shapes of characters in most commonly used fonts are
related. For example, in most fonts, the letter "c" and the letter
"e" are visually related--as are "t" and "f," etc. The OCR process
is enhanced by use of this relationship to construct templates for
letters that have not been scanned yet. For example, where a reader
scans a short string of text from a paper document in a previously
unencountered font such that the system does not have a set of
image templates with which to compare the scanned images the system
can leverage the probable relationship between certain characters
to construct the font template library even though it has not yet
encountered all of the letters in the alphabet. The system can then
use the constructed font template library to recognize subsequent
scanned text and to further refine the constructed font
library.
[0233] 9.8. Send Anything Unrecognized (Including Graphics) to
Server
[0234] When images cannot be machine-transcribed into a form
suitable for use in a search process, the images themselves can be
saved for later use by the user, for possible manual transcription,
or for processing at a later date when different resources may be
available to the system.
10. P-Commerce
[0235] Many of the actions made possible by the system result in
some commercial transaction taking place. The phrase p-commerce is
used herein to describe commercial activities initiated from paper
via the system.
[0236] 10.1. Sales of Documents from Their Physical Printed
Copies.
[0237] When a user captures text from a document, the user may be
offered that document for purchase either in paper or electronic
form. The user may also be offered related documents, such as those
quoted or otherwise referred to in the paper document, or those on
a similar subject, or those by the same author.
[0238] 10.2. Sales of Anything Else Initiated or Aided by Paper
[0239] The capture of text may be linked to other commercial
activities in a variety of ways. The captured text may be in a
catalog that is explicitly designed to sell items, in which case
the text will be associated fairly directly with the purchase of an
item (Section 18.2). The text may also be part of an advertisement,
in which case a sale of the item being advertised may ensue.
[0240] In other cases, the user captures other text from which
their potential interest in a commercial transaction may be
deduced. A reader of a novel set in a particular country, for
example, might be interested in a holiday there. Someone reading a
review of a new car might be considering purchasing it. The user
may capture a particular fragment of text knowing that some
commercial opportunity will be presented to them as a result, or it
may be a side-effect of their capture activities.
[0241] 10.3. Capture of Labels, Icons, Serial Numbers, Barcodes on
an Item Resulting in a Sale
[0242] Sometimes text or symbols are actually printed on an item or
its packaging. An example is the serial number or product id often
found on a label on the back or underside of a piece of electronic
equipment. The system can offer the user a convenient way to
purchase one or more of the same items by capturing that text. They
may also be offered manuals, support or repair services.
[0243] 10.4. Contextual Advertisements
[0244] In addition to the direct capture of text from an
advertisement, the system allows for a new kind of advertising
which is not necessarily explicitly in the rendered document, but
is nonetheless based on what people are reading.
[0245] 10.4.1. Advertising Based on Scan Context and History
[0246] In a traditional paper publication, advertisements generally
consume a large amount of space relative to the text of a newspaper
article, and a limited number of them can be placed around a
particular article. In the described system, advertising can be
associated with individual words or phrases, and can selected
according to the particular interest the user has shown by
capturing that text and possibly taking into account their history
of past scans.
[0247] With the described system, it is possible for a purchase to
be tied to a particular printed document and for an advertiser to
get significantly more feedback about the effectiveness of their
advertising in particular print publications.
[0248] 10.4.2. Advertising Based on User Context and History
[0249] The system may gather a large amount of information about
other aspects of a user's context for its own use (Section 13);
estimates of the geographical location of the user are a good
example. Such data can also be used to tailor the advertising
presented to a user of the system.
[0250] 10.5. Models of Compensation
[0251] The system enables some new models of compensation for
advertisers and marketers. The publisher of a printed document
containing advertisements may receive some income from a purchase
that originated from their document. This may be true whether or
not the advertisement existed in the original printed form; it may
have been added electronically either by the publisher, the
advertiser or some third party, and the sources of such advertising
may have been subscribed to by the user.
[0252] 10.5.1. Popularity-Based Compensation
[0253] Analysis of the statistics generated by the system can
reveal the popularity of certain parts of a publication (Section
14.2). In a newspaper, for example, it might reveal the amount of
time readers spend looking at a particular page or article, or the
popularity of a particular columnist. In some circumstances, it may
be appropriate for an author or publisher to receive compensation
based on the activities of the readers rather than on more
traditional metrics such as words written or number of copies
distributed. An author whose work becomes a frequently read
authority on a subject might be considered differently in future
contracts from one whose books have sold the same number of copies
but are rarely opened. (See also Section 7.6)
[0254] 10.5.2. Popularity-Based Advertising
[0255] Decisions about advertising in a document may also be based
on statistics about the readership. The advertising space around
the most popular columnists may be sold at a premium rate.
Advertisers might even be charged or compensated some time after
the document is published based on knowledge about how it was
received.
[0256] 10.6. Marketing Based on Life Library
[0257] The "Life Library" or scan history described in Sections 6.1
and 16.1 can be an extremely valuable source of information about
the interests and habits of a user. Subject to the appropriate
consent and privacy issues, such data can inform offers of goods or
services to the user. Even in an anonymous form, the statistics
gathered can be exceedingly useful.
[0258] 10.7. Sale/Information at Later Date (when Available)
[0259] Advertising and other opportunities for commercial
transactions may not be presented to the user immediately at the
time of text capture. For example, the opportunity to purchase a
sequel to a novel may not be available at the time the user is
reading the novel, but the system may present them with that
opportunity when the sequel is published.
[0260] A user may capture data that relates to a purchase or other
commercial transaction, but may choose not to initiate and/or
complete the transaction at the time the capture is made. In some
embodiments, data related to captures is stored in a user's Life
Library, and these Life Library entries can remain "active" (i.e.,
capable of subsequent interactions similar to those available at
the time the capture was made). Thus a user may review a capture at
some later time, and optionally complete a transaction based on
that capture. Because the system can keep track of when and where
the original capture occurred, all parties involved in the
transaction can be properly compensated. For example, the author
who wrote the story--and the publisher who published the
story--that appeared next to the advertisement from which the user
captured data can be compensated when, six months later, the user
visits their Life Library, selects that particular capture from the
history, and chooses "Purchase this item at Amazon" from the pop-up
menu (which can be similar or identical to the menu optionally
presented at the time of the capture).
11. Operating System and Application Integration
[0261] Modern Operating Systems (OSs) and other software packages
have many characteristics that can be advantageously exploited for
use with the described system, and may also be modified in various
ways to provide an even better platform for its use.
[0262] 11.1. Incorporation of Scan and Print-Related Information in
Metadata and Indexing
[0263] New and upcoming file systems and their associated databases
often have the ability to store a variety of metadata associated
with each file. Traditionally, this metadata has included such
things as the ID of the user who created the file, the dates of
creation, last modification, and last use. Newer file systems allow
such extra information as keywords, image characteristics, document
sources and user comments to be stored, and in some systems this
metadata can be arbitrarily extended. File systems can therefore be
used to store information that would be useful in implementing the
current system. For example, the date when a given document was
last printed can be stored by the file system, as can details about
which text from it has been captured from paper using the described
system, and when and by whom.
[0264] Operating systems are also starting to incorporate search
engine facilities that allow users to find local files more easily.
These facilities can be advantageously used by the system. It means
that many of the search-related concepts discussed in Sections 3
and 4 apply not just to today's Internet-based and similar search
engines, but also to every personal computer.
[0265] In some cases specific software applications will also
include support for the system above and beyond the facilities
provided by the OS.
[0266] 11.2. OS Support for Capture Devices
[0267] As the use of capture devices such as pen scanners becomes
increasingly common, it will become desirable to build support for
them into the operating system, in much the same way as support is
provided for mice and printers, since the applicability of capture
devices extends beyond a single software application. The same will
be true for other aspects of the system's operation. Some examples
are discussed below. In some embodiments, the entire described
system, or the core of it, is provided by the OS. In some
embodiments, support for the system is provided by Application
Programming Interfaces (APIs) that can be used by other software
packages, including those directly implementing aspects of the
system.
[0268] 11.2.1. Support for OCR and Other Recognition
Technologies
[0269] Most of the methods of capturing text from a rendered
document require some recognition software to interpret the source
data, typically a scanned image or some spoken words, as text
suitable for use in the system. Some OSs include support for speech
or handwriting recognition, though it is less common for OSs to
include support for OCR, since in the past the use of OCR has
typically been limited to a small range of applications.
[0270] As recognition components become part of the OS, they can
take better advantage of other facilities provided by the OS. Many
systems include spelling dictionaries, grammar analysis tools,
internationalization and localization facilities, for example, all
of which can be advantageously employed by the described system for
its recognition process, especially since they may have been
customized for the particular user to include words and phrases
that he/she would commonly encounter.
[0271] If the operating system includes full-text indexing
facilities, then these can also be used to inform the recognition
process, as described in Section 9.3.
[0272] 11.2.2. Action to be Taken on Scans
[0273] If an optical scan or other capture occurs and is presented
to the OS, it may have a default action to be taken under those
circumstances in the event that no other subsystem claims ownership
of the capture. An example of a default action is presenting the
user with a choice of alternatives, or submitting the captured text
to the OS's built-in search facilities.
[0274] 11.2.3. OS has Default Action for Particular Documents or
Document Types
[0275] If the digital source of the rendered document is found, the
OS may have a standard action that it will take when that
particular document, or a document of that class, is scanned.
Applications and other subsystems may register with the OS as
potential handlers of particular types of capture, in a similar
manner to the announcement by applications of their ability to
handle certain file types.
[0276] Markup data associated with a rendered document, or with a
capture from a document, can include instructions to the operating
system to launch specific applications, pass applications
arguments, parameters, or data, etc.
[0277] 11.2.4. Interpretation of Gestures and Mapping into Standard
Actions
[0278] In Section 12.1.3 the use of "gestures" is discussed,
particularly in the case of optical scanning, where particular
movements made with a handheld scanner might represent standard
actions such as marking the start and end of a region of text.
[0279] This is analogous to actions such as pressing the shift key
on a keyboard while using the cursor keys to select a region of
text, or using the wheel on a mouse to scroll a document. Such
actions by the user are sufficiently standard that they are
interpreted in a system-wide way by the OS, thus ensuring
consistent behavior. The same is desirable for scanner gestures and
other scanner-related actions.
[0280] 11.2.5. Set Response to Standard (and Non-Standard)
Iconic/Text Printed Menu Items
[0281] In a similar way, certain items of text or other symbols
may, when scanned, cause standard actions to occur, and the OS may
provide a selection of these. An example might be that scanning the
text "[print]" in any document would cause the OS to retrieve and
print a copy of that document. The OS may also provide a way to
register such actions and associate them with particular scans.
[0282] 11.3. Support in System GUI Components for Typical
Scan-Initiated Activities
[0283] Most software applications are based substantially on
standard Graphical User Interface components provided by the
OS.
[0284] Use of these components by developers helps to ensure
consistent behavior across multiple packages, for example that
pressing the left-cursor key in any text-editing context should
move the cursor to the left, without every programmer having to
implement the same functionality independently.
[0285] A similar consistency in these components is desirable when
the activities are initiated by text-capture or other aspects of
the described system. Some examples are given below.
[0286] 11.3.1. Interface to Find Particular Text Content
[0287] A typical use of the system may be for the user to scan an
area of a paper document, and for the system to open the electronic
counterpart in a software package that is able to display or edit
it, and cause that package to scroll to and highlight the scanned
text (Section 12.2.1). The first part of this process, finding and
opening the electronic document, is typically provided by the OS
and is standard across software packages. The second part,
however--locating a particular piece of text within a document and
causing the package to scroll to it and highlight it--is not yet
standardized and is often implemented differently by each package.
The availability of a standard API for this functionality could
greatly enhance the operation of this aspect of the system.
[0288] 11.3.2. Text Interactions
[0289] Once a piece of text has been located within a document, the
system may wish to perform a variety of operations upon that text.
As an example, the system may request the surrounding text, so that
the user's capture of a few words could result in the system
accessing the entire sentence or paragraph containing them. Again,
this functionality can be usefully provided by the OS rather than
being implemented in every piece of software that handles text.
[0290] 11.3.3. Contextual (Popup) Menus
[0291] Some of the operations that are enabled by the system will
require user feedback, and this may be optimally requested within
the context of the application handling the data. In some
embodiments, the system uses the application pop-up menus
traditionally associated with clicking the right mouse button on
some text. The system inserts extra options into such menus, and
causes them to be displayed as a result of activities such as
scanning a paper document.
[0292] 11.4. Web/Network Interfaces
[0293] In today's increasingly networked world, much of the
functionality available on individual machines can also be accessed
over a network, and the functionality associated with the described
system is no exception. As an example, in an office environment,
many paper documents received by a user may have been printed by
other users' machines on the same corporate network. The system on
one computer, in response to a capture, may be able to query those
other machines for documents which may correspond to that capture,
subject to the appropriate permission controls.
[0294] 11.5. Printing of Document Causes Saving
[0295] An important factor in the integration of paper and digital
documents is maintaining as much information as possible about the
transitions between the two. In some embodiments, the OS keeps a
simple record of when any document was printed and by whom. In some
embodiments, the OS takes one or more further actions that would
make it better suited for use with the system. Examples include:
[0296] Saving the digital rendered version of every document
printed along with information about the source from which it was
printed [0297] Saving a subset of useful information about the
printed version--for example, the fonts used and where the line
breaks occur--which might aid future scan interpretation [0298]
Saving the version of the source document associated with any
printed copy [0299] Indexing the document automatically at the time
of printing and storing the results for future searching
[0300] 11.6. My (Printed/Scanned) Documents
[0301] An OS often maintains certain categories of folders or files
that have particular significance. A user's documents may, by
convention or design, be found in a "My Documents" folder, for
example. Standard file-opening dialogs may automatically include a
list of recently opened documents.
[0302] On an OS optimized for use with the described system, such
categories may be enhanced or augmented in ways that take into
account a user's interaction with paper versions of the stored
files. Categories such as "My Printed Documents" or "My
Recently-Read Documents" might usefully be identified and
incorporated in its operations.
[0303] 11.7. OS-Level Markup Hierarchies
[0304] Since important aspects of the system are typically provided
using the "markup" concepts discussed in Section 5, it would
clearly be advantageous to have support for such markup provided by
the OS in a way that was accessible to multiple applications as
well as to the OS itself. In addition, layers of markup may be
provided by the OS, based on its own knowledge of documents under
its control and the facilities it is able to provide.
[0305] 11.8. Use of OS DRM Facilities
[0306] An increasing number of operating systems support some form
of "Digital Rights Management": the ability to control the use of
particular data according to the rights granted to a particular
user, software entity or machine. It may inhibit unauthorized
copying or distribution of a particular document, for example.
12. User Interface
[0307] The user interface of the system may be entirely on a PC, if
the capture device is relatively dumb and is connected to it by a
cable, or entirely on the device, if it is sophisticated and with
significant processing power of its own. In some cases, some
functionality resides in each component. Part, or indeed all, of
the system's functionality may also be implemented on other devices
such as mobile phones or PDAs.
[0308] The descriptions in the following sections are therefore
indications of what may be desirable in certain implementations,
but they are not necessarily appropriate for all and may be
modified in several ways.
[0309] 12.1. On the Capture Device
[0310] With all capture devices, but particularly in the case of an
optical scanner, the user's attention will generally be on the
device and the paper at the time of scanning. It is very desirable,
then, that any input and feedback needed as part of the process of
scanning do not require the user's attention to be elsewhere, for
example on the screen of a computer, more than is necessary.
[0311] 12.1.1. Feedback on Scanner
[0312] A handheld scanner may have a variety of ways of providing
feedback to the user about particular conditions. The most obvious
types are direct visual, where the scanner incorporates indicator
lights or even a full display, and auditory, where the scanner can
make beeps, clicks or other sounds. Important alternatives include
tactile feedback, where the scanner can vibrate, buzz, or otherwise
stimulate the user's sense of touch, and projected feedback, where
it indicates a status by projecting onto the paper anything from a
colored spot of light to a sophisticated display.
[0313] Important immediate feedback that may be provided on the
device includes: [0314] feedback on the scanning process--user
scanning too fast, at too great an angle, or drifting too high or
low on a particular line [0315] sufficient content--enough has been
scanned to be pretty certain of finding a match if one
exists--important for disconnected operation [0316] context
known--a source of the text has been located [0317] unique context
known--one unique source of the text has been located [0318]
availability of content--indication of whether the content is
freely available to the user, or at a cost
[0319] Many of the user interactions normally associated with the
later stages of the system may also take place on the capture
device if it has sufficient abilities, for example, to display part
or all of a document.
[0320] 12.1.2. Controls on Scanner
[0321] The device may provide a variety of ways for the user to
provide input in addition to basic text capture. Even when the
device is in close association with a host machine that has input
options such as keyboards and mice, it can be disruptive for the
user to switch back and forth between manipulating the scanner and
using a mouse, for example.
[0322] The handheld scanner may have buttons, scroll/jog-wheels,
touch-sensitive surfaces, and/or accelerometers for detecting the
movement of the device. Some of these allow a richer set of
interactions while still holding the scanner.
[0323] For example, in response to scanning some text, the system
presents the user with a set of several possible matching
documents. The user uses a scroll-wheel on the side of the scanner
is to select one from the list, and clicks a button to confirm the
selection.
[0324] 12.1.3. Gestures
[0325] The primary reason for moving a scanner across the paper is
to capture text, but some movements may be detected by the device
and used to indicate other user intentions. Such movements are
referred to herein as "gestures."
[0326] As an example, the user can indicate a large region of text
by scanning the first few words in conventional left-to-right
order, and the last few in reverse order, i.e. right to left. The
user can also indicate the vertical extent of the text of interest
by moving the scanner down the page over several lines. A backwards
scan might indicate cancellation of the previous scan
operation.
[0327] 12.1.4. Online/Offline Behavior
[0328] Many aspects of the system may depend on network
connectivity, either between components of the system such as a
scanner and a host laptop, or with the outside world in the form of
a connection to corporate databases and Internet search. This
connectivity may not be present all the time, however, and so there
will be occasions when part or all of the system may be considered
to be "offline." It is desirable to allow the system to continue to
function usefully in those circumstances.
[0329] The device may be used to capture text when it is out of
contact with other parts of the system. A very simple device may
simply be able to store the image or audio data associated with the
capture, ideally with a timestamp indicating when it was captured.
The various captures may be uploaded to the rest of the system when
the device is next in contact with it, and handled then. The device
may also upload other data associated with the captures, for
example voice annotations associated with optical scans, or
location information.
[0330] More sophisticated devices may be able to perform some or
all of the system operations themselves despite being disconnected.
Various techniques for improving their ability to do so are
discussed in Section 15.3. Often it will be the case that some, but
not all, of the desired actions can be performed while offline. For
example, the text may be recognized, but identification of the
source may depend on a connection to an Internet-based search
engine. In some embodiments, the device therefore stores sufficient
information about how far each operation has progressed for the
rest of the system to proceed efficiently when connectivity is
restored.
[0331] The operation of the system will, in general, benefit from
immediately available connectivity, but there are some situations
in which performing several captures and then processing them as a
batch can have advantages. For example, as discussed in Section 13
below, the identification of the source of a particular capture may
be greatly enhanced by examining other captures made by the user at
approximately the same time. In a fully connected system where live
feedback is being provided to the user, the system is only able to
use past captures when processing the current one. If the capture
is one of a batch stored by the device when offline, however, the
system will be able to take into account any data available from
later captures as well as earlier ones when doing its analysis.
[0332] 12.2. On a Host Device
[0333] A scanner will often communicate with some other device,
such as a PC, PDA, phone or digital camera to perform many of the
functions of the system, including more detailed interactions with
the user.
[0334] 12.2.1. Activities Performed in Response to a Capture
[0335] When the host device receives a capture, it may initiate a
variety of activities. An incomplete list of possible activities
performed by the system after locating and electronic counterpart
document associated with the capture and a location within that
document follows. [0336] The details of the capture may be stored
in the user's history. (Section 6.1) [0337] The document may be
retrieved from local storage or a remote location. (Section 8)
[0338] The operating system's metadata and other records associated
with the document may be updated. (Section 11.1) [0339] Markup
associated with the document may be examined to determine the next
relevant operations. (Section 5) [0340] A software application may
be started to edit, view or otherwise operate on the document. The
choice of application may depend on the source document, or on the
contents of the scan, or on some other aspect of the capture.
(Section 11.2.2, 11.2.3) [0341] The application may scroll to,
highlight, move the insertion point to, or otherwise indicate the
location of the capture. (Section 11.3) [0342] The precise bounds
of the captured text may be modified, for example to select whole
words, sentences or paragraphs around the captured text. (Section
11.3.2) [0343] The user may be given the option to copy the capture
text to the clipboard or perform other standard operating system or
application-specific operations upon it. [0344] Annotations may be
associated with the document or the captured text. These may come
from immediate user input, or may have been captured earlier, for
example in the case of voice annotations associated with an optical
scan. (Section 19.4) [0345] Markup may be examined to determine a
set of further possible operations for the user to select.
[0346] 12.2.2. Contextual Popup Menus
[0347] Sometimes the appropriate action to be taken by the system
will be obvious, but sometimes it will require a choice to be made
by the user. One good way to do this is through the use of "popup
menus" or, in cases where the content is also being displayed on a
screen, with so-called "contextual menus" that appear close to the
content. (See Section 11.3.3). In some embodiments, the scanner
device projects a popup menu onto the paper document. A user may
select from such menus using traditional methods such as a keyboard
and mouse, or by using controls on the capture device (Section
12.1.2), gestures (Section 12.1.3), or by interacting with the
computer display using the scanner (Section 12.2.4). In some
embodiments, the popup menus which can appear as a result of a
capture include default items representing actions which occur if
the user does not respond--for example, if the user ignores the
menu and makes another capture.
[0348] 12.2.3. Feedback on Disambiguation
[0349] When a user starts capturing text, there will initially be
several documents or other text locations that it could match. As
more text is captured, and other factors are taken into account
(Section 13), the number of candidate locations will decrease until
the actual location is identified, or further disambiguation is not
possible without user input. In some embodiments, the system
provides a real-time display of the documents or the locations
found, for example in list, thumbnail-image or text-segment form,
and for the number of elements in that display to reduce in number
as capture continues. In some embodiments, the system displays
thumbnails of all candidate documents, where the size or position
of the thumbnail is dependent on the probability of it being the
correct match.
[0350] When a capture is unambiguously identified, this fact may be
emphasized to the user, for example using audio feedback.
[0351] Sometimes the text captured will occur in many documents and
will be recognized to be a quotation. The system may indicate this
on the screen, for example by grouping documents containing a
quoted reference around the original source document.
[0352] 12.2.4. Scanning from Screen
[0353] Some optical scanners may be able to capture text displayed
on a screen as well as on paper. Accordingly, the term rendered
document is used herein to indicate that printing onto paper is not
the only form of rendering, and that the capture of text or symbols
for use by the system may be equally valuable when that text is
displayed on an electronic display.
[0354] The user of the described system may be required to interact
with a computer screen for a variety of other reasons, such as to
select from a list of options. It can be inconvenient for the user
to put down the scanner and start using the mouse or keyboard.
Other sections have described physical controls on the scanner
(Section 12.1.2) or gestures (Section 12.1.3) as methods of input
which do not require this change of tool, but using the scanner on
the screen itself to scan some text or symbol is an important
alternative provided by the system.
[0355] In some embodiments, the optics of the scanner allow it to
be used in a similar manner to a light-pen, directly sensing its
position on the screen without the need for actual scanning of
text, possibly with the aid of special hardware or software on the
computer.
13. Context Interpretation
[0356] An important aspect of the described system is the use of
other factors, beyond the simple capture of a string of text, to
help identify the document in use. A capture of a modest amount of
text may often identify the document uniquely, but in many
situations it will identify a few candidate documents. One solution
is to prompt the user to confirm the document being scanned, but a
preferable alternative is to make use of other factors to narrow
down the possibilities automatically. Such supplemental information
can dramatically reduce the amount of text that needs to be
captured and/or increase the reliability and speed with which the
location in the electronic counterpart can be identified. This
extra material is referred to as "context," and it was discussed
briefly in Section 4.2.2. We now consider it in more depth.
[0357] 13.1. System and Capture Context
[0358] Perhaps the most important example of such information is
the user's capture history.
[0359] It is highly probable that any given capture comes from the
same document as the previous one, or from an associated document,
especially if the previous capture took place in the last few
minutes (Section 6.1.2). Conversely, if the system detects that the
font has changed between two scans, it is more likely that they are
from different documents.
[0360] Also useful are the user's longer-term capture history and
reading habits. These can also be used to develop a model of the
user's interests and associations.
[0361] 13.2. User's Real-World Context
[0362] Another example of useful context is the user's geographical
location. A user in Paris is much more likely to be reading Le
Monde than the Seattle Times, for example. The timing, size and
geographical distribution of printed versions of the documents can
therefore be important, and can to some degree be deduced from the
operation of the system.
[0363] The time of day may also be relevant, for example in the
case of a user who always reads one type of publication on the way
to work, and a different one at lunchtime or on the train going
home.
[0364] 13.3. Related Digital Context
[0365] The user's recent use of electronic documents, including
those searched for or retrieved by more conventional means, can
also be a helpful indicator.
[0366] In some cases, such as on a corporate network, other factors
may be usefully considered: [0367] Which documents have been
printed recently? [0368] Which documents have been modified
recently on the corporate file server? [0369] Which documents have
been emailed recently?
[0370] All of these examples might suggest that a user was more
likely to be reading a paper version of those documents. In
contrast, if the repository in which a document resides can affirm
that the document has never been printed or sent anywhere where it
might have been printed, then it can be safely eliminated in any
searches originating from paper.
[0371] 13.4. Other Statistics--the Global Context
[0372] Section 14 covers the analysis of the data stream resulting
from paper-based searches, but it should be noted here that
statistics about the popularity of documents with other readers,
about the timing of that popularity, and about the parts of
documents most frequently scanned are all examples of further
factors which can be beneficial in the search process. The system
brings the possibility of Google-type page-ranking to the world of
paper.
[0373] See also Section 4.2.2 for some other implications of the
use of context for search engines.
14. Data-Stream Analysis
[0374] The use of the system generates an exceedingly valuable
datastream as a side effect. This stream is a record of what users
are reading and when, and is in many cases a record of what they
find particularly valuable in the things they read. Such data has
never really been available before for paper documents.
[0375] Some ways in which this data can be useful for the system,
and for the user of the system, are described in Section 6.1. This
section concentrates on its use for others. There are, of course,
substantial privacy issues to be considered with any distribution
of data about what people are reading, but such issues as
preserving the anonymity of data are well known to those of skill
in the art.
[0376] 14.1. Document Tracking
[0377] When the system knows which documents any given user is
reading, it can also deduce who is reading any given document. This
allows the tracking of a document through an organization, to allow
analysis, for example, of who is reading it and when, how widely it
was distributed, how long that distribution took, and who has seen
current versions while others are still working from out-of-date
copies.
[0378] For published documents that have a wider distribution, the
tracking of individual copies is more difficult, but the analysis
of the distribution of readership is still possible.
[0379] 14.2. Read Ranking--Popularity of Documents and
Sub-Regions
[0380] In situations where users are capturing text or other data
that is of particular interest to them, the system can deduce the
popularity of certain documents and of particular sub-regions of
those documents. This forms a valuable input to the system itself
(Section 4.2.2) and an important source of information for authors,
publishers and advertisers (Section 7.6, Section 10.5). This data
is also useful when integrated in search engines and search
indices--for example, to assist in ranking search results for
queries coming from rendered documents, and/or to assist in ranking
conventional queries typed into a web browser.
[0381] 14.3. Analysis of Users--Building Profiles
[0382] Knowledge of what a user is reading enables the system to
create a quite detailed model of the user's interests and
activities. This can be useful on an abstract statistical
basis--"35% of users who buy this newspaper also read the latest
book by that author"--but it can also allow other interactions with
the individual user, as discussed below.
[0383] 14.3.1. Social Networking
[0384] One example is connecting one user with others who have
related interests. These may be people already known to the user.
The system may ask a university professor, "Did you know that your
colleague at XYZ University has also just read this paper?" The
system may ask a user, "Do you want to be linked up with other
people in your neighborhood who are also how reading Jane Eyre?"
Such links may be the basis for the automatic formation of book
clubs and similar social structures, either in the physical world
or online.
[0385] 14.3.2. Marketing
[0386] Section 10.6 has already mentioned the idea of offering
products and services to an individual user based on their
interactions with the system. Current online booksellers, for
example, often make recommendations to a user based on their
previous interactions with the bookseller. Such recommendations
become much more useful when they are based on interactions with
the actual books.
[0387] 14.4. Marketing Based on Other Aspects of the
Data-Stream
[0388] We have discussed some of the ways in which the system may
influence those publishing documents, those advertising through
them, and other sales initiated from paper (Section 10). Some
commercial activities may have no direct interaction with the paper
documents at all and yet may be influenced by them. For example,
the knowledge that people in one community spend more time reading
the sports section of the newspaper than they do the financial
section might be of interest to somebody setting up a health
club.
[0389] 14.5. Types of Data that may be Captured
[0390] In addition to the statistics discussed, such as who is
reading which bits of which documents, and when and where, it can
be of interest to examine the actual contents of the text captured,
regardless of whether or not the document has been located.
[0391] In many situations, the user will also not just be capturing
some text, but will be causing some action to occur as a result. It
might be emailing a reference to the document to an acquaintance,
for example. Even in the absence of information about the identity
of the user or the recipient of the email, the knowledge that
somebody considered the document worth emailing is very useful.
[0392] In addition to the various methods discussed for deducing
the value of a particular document or piece of text, in some
circumstances the user will explicitly indicate the value by
assigning it a rating.
[0393] Lastly, when a particular set of users are known to form a
group, for example when they are known to be employees of a
particular company, the aggregated statistics of that group can be
used to deduce the importance of a particular document to that
group.
15. Device Features and Functions
[0394] A capture device for use with the system needs little more
than a way of capturing text from a rendered version of the
document. As described earlier (Section 1.2), this capture may be
achieved through a variety of methods including taking a photograph
of part of the document or typing some words into a mobile phone
keypad. This capture may be achieved using a small hand-held
optical scanner capable of recording a line or two of text at a
time, or an audio capture device such as a voice-recorder into
which the user is reading text from the document. The device used
may be a combination of these--an optical scanner which could also
record voice annotations, for example--and the capturing
functionality may be built into some other device such as a mobile
phone, PDA, digital camera or portable music player.
[0395] 15.1. Input and Output
[0396] Many of the possibly beneficial additional input and output
facilities for such a device have been described in Section 12.1.
They include buttons, scroll-wheels and touch-pads for input, and
displays, indicator lights, audio and tactile transducers for
output. Sometimes the device will incorporate many of these,
sometimes very few. Sometimes the capture device will be able to
communicate with another device that already has them (Section
15.6), for example using a wireless link, and sometimes the capture
functionality will be incorporated into such other device (Section
15.7).
[0397] 15.2. Connectivity
[0398] In some embodiments, the device implements the majority of
the system itself. In some embodiments, however, it often
communicates with a PC or other computing device and with the wider
world using communications facilities.
[0399] Often these communications facilities are in the form of a
general-purpose data network such as Ethernet, 802.11 or UWB or a
standard peripheral-connecting network such as USB, IEEE-1394
(Firewire), Bluetooth.TM. or infra-red. When a wired connection
such as Firewire or USB is used, the device may receive electrical
power though the same connection. In some circumstances, the
capture device may appear to a connected machine to be a
conventional peripheral such as a USB storage device.
[0400] Lastly, the device may in some circumstances "dock" with
another device, either to be used in conjunction with that device
or for convenient storage.
[0401] 15.3. Caching and Other Online/Offline Functionality
[0402] Sections 3.5 and 12.1.4 have raised the topic of
disconnected operation. When a capture device has a limited subset
of the total system's functionality, and is not in communication
with the other parts of the system, the device can still be useful,
though the functionality available will sometimes be reduced. At
the simplest level, the device can record the raw image or audio
data being captured and this can be processed later. For the user's
benefit, however, it can be important to give feedback where
possible about whether the data captured is likely to be sufficient
for the task in hand, whether it can be recognized or is likely to
be recognizable, and whether the source of the data can be
identified or is likely to be identifiable later. The user will
then know whether their capturing activity is worthwhile. Even when
all of the above are unknown, the raw data can still be stored so
that, at the very least, the user can refer to them later. The user
may be presented with the image of a scan, for example, when the
scan cannot be recognized by the OCR process.
[0403] To illustrate some of the range of options available, both a
rather minimal optical scanning device and then a much more
full-featured one are described below. Many devices occupy a middle
ground between the two.
[0404] 15.3.1. The SimpleScanner--a Low-End Offline Example
[0405] The SimpleScanner has a scanning head able to read pixels
from the page as it is moved along the length of a line of text. It
can detect its movement along the page and record the pixels with
some information about the movement. It also has a clock, which
allows each scan to be time-stamped. The clock is synchronized with
a host device when the SimpleScanner has connectivity. The clock
may not represent the actual time of day, but relative times may be
determined from it so that the host can deduce the actual time of a
scan, or at worst the elapsed time between scans.
[0406] The SimpleScanner does not have sufficient processing power
to perform any OCR itself, but it does have some basic knowledge
about typical word-lengths, word-spacings, and their relationship
to font size. It has some basic indicator lights which tell the
user whether the scan is likely to be readable, whether the head is
being moved too fast, too slowly or too inaccurately across the
paper, and when it determines that sufficient words of a given size
are likely to have been scanned for the document to be
identified.
[0407] The SimpleScanner has a USB connector and can be plugged
into the USB port on a computer, where it will be recharged. To the
computer it appears to be a USB storage device on which
time-stamped data files have been recorded, and the rest of the
system software takes over from this point.
[0408] 15.3.2. The SuperScanner--a High-End Offline Example
[0409] The SuperScanner also depends on connectivity for its full
operation, but it has a significant amount of on-board storage and
processing which can help it make better judgments about the data
captured while offline.
[0410] As it moves along the line of text, the captured pixels are
stitched together and passed to an OCR engine that attempts to
recognize the text. A number of fonts, including those from the
user's most-read publications, have been downloaded to it to help
perform this task, as has a dictionary that is synchronized with
the user's spelling-checker dictionary on their PC and so contains
many of the words they frequently encounter. Also stored on the
scanner is a list of words and phrases with the typical frequency
of their use--this may be combined with the dictionary. The scanner
can use the frequency statistics both to help with the recognition
process and also to inform its judgment about when a sufficient
quantity of text has been captured; more frequently used phrases
are less likely to be useful as the basis for a search query.
[0411] In addition, the full index for the articles in the recent
issues of the newspapers and periodicals most commonly read by the
user are stored on the device, as are the indices for the books the
user has recently purchased from an online bookseller, or from
which the user has scanned anything within the last few months.
Lastly, the titles of several thousand of the most popular
publications which have data available for the system are stored so
that, in the absence of other information the user can scan the
title and have a good idea as to whether or not captures from a
particular work are likely to be retrievable in electronic form
later.
[0412] During the scanning process, the system informs user that
the captured data has been of sufficient quality and of a
sufficient nature to make it probable that the electronic copy can
be retrieved when connectivity is restored. Often the system
indicates to the user that the scan is known to have been
successful and that the context has been recognized in one of the
on-board indices, or that the publication concerned is known to be
making its data available to the system, so the later retrieval
ought to be successful.
[0413] The SuperScanner docks in a cradle connected to a PC's
Firewire or USB port, at which point, in addition to the upload of
captured data, its various onboard indices and other databases are
updated based on recent user activity and new publications. It also
has the facility to connect to wireless public networks or to
communicate via Bluetooth to a mobile phone and thence with the
public network when such facilities are available.
[0414] 15.4. Features for Optical Scanning
[0415] We now consider some of the features that may be
particularly desirable in an optical scanner device.
[0416] 15.4.1. Flexible Positioning and Convenient Optics
[0417] One of the reasons for the continuing popularity of paper is
the ease of its use in a wide variety of situations where a
computer, for example, would be impractical or inconvenient. A
device intended to capture a substantial part of a user's
interaction with paper should therefore be similarly convenient in
use. This has not been the case for scanners in the past; even the
smallest hand-held devices have been somewhat unwieldy. Those
designed to be in contact with the page have to be held at a
precise angle to the paper and moved very carefully along the
length of the text to be scanned. This is acceptable when scanning
a business report on an office desk, but may be impractical when
scanning a phrase from a novel while waiting for a train. Scanners
based on camera-type optics that operate at a distance from the
paper may similarly be useful in some circumstances.
[0418] Some embodiments of the system use a scanner that scans in
contact with the paper, and which, instead of lenses, uses an image
conduit a bundle of optical fibers to transmit the image from the
page to the optical sensor device. Such a device can be shaped to
allow it to be held in a natural position; for example, in some
embodiments, the part in contact with the page is wedge-shaped,
allowing the user's hand to move more naturally over the page in a
movement similar to the use of a highlighter pen. The conduit is
either in direct contact with the paper or in close proximity to
it, and may have a replaceable transparent tip that can protect the
image conduit from possible damage. As has been mentioned in
Section 12.2.4, the scanner may be used to scan from a screen as
well as from paper, and the material of the tip can be chosen to
reduce the likelihood of damage to such displays.
[0419] Lastly, some embodiments of the device will provide feedback
to the user during the scanning process which will indicate through
the use of light, sound or tactile feedback when the user is
scanning too fast, too slow, too unevenly or is drifting too high
or low on the scanned line.
[0420] 15.5. Security, Identity, Authentication, Personalization
and Billing
[0421] As described in Section 6, the capture device may form an
important part of identification and authorization for secure
transactions, purchases, and a variety of other operations. It may
therefore incorporate, in addition to the circuitry and software
required for such a role, various hardware features that can make
it more secure, such as a smartcard reader, RFID, or a keypad on
which to type a PIN.
[0422] It may also include various biometric sensors to help
identify the user. In the case of an optical scanner, for example,
the scanning head may also be able to read a fingerprint. For a
voice recorder, the voice pattern of the user may be used.
[0423] 15.6. Device Associations
[0424] In some embodiments, the device is able to form an
association with other nearby devices to increase either its own or
their functionality. In some embodiments, for example, it uses the
display of a nearby PC or phone to give more detailed feedback
about its operation, or uses their network connectivity. The device
may, on the other hand, operate in its role as a security and
identification device to authenticate operations performed by the
other device. Or it may simply form an association in order to
function as a peripheral to that device.
[0425] An interesting aspect of such associations is that they may
be initiated and authenticated using the capture facilities of the
device. For example, a user wishing to identify themselves securely
to a public computer terminal may use the scanning facilities of
the device to scan a code or symbol displayed on a particular area
of the terminal's screen and so effect a key transfer. An analogous
process may be performed using audio signals picked up by a
voice-recording device.
[0426] 15.7. Integration with Other Devices
[0427] In some embodiments, the functionality of the capture device
is integrated into some other device that is already in use. The
integrated devices may be able to share a power supply, data
capture and storage capabilities, and network interfaces. Such
integration may be done simply for convenience, to reduce cost, or
to enable functionality that would not otherwise be available.
[0428] Some examples of devices into which the capture
functionality can be integrated include: [0429] an existing
peripheral such as a mouse, a stylus, a USB "webcam" camera, a
Bluetooth.TM. headset or a remote control [0430] another
processing/storage device, such as a PDA, an MP3 player, a voice
recorder, a digital camera or a mobile phone [0431] other
often-carried items, just for convenience--a watch, a piece of
jewelry, a pen, a car key fob
[0432] 15.7.1. Mobile Phone Integration
[0433] As an example of the benefits of integration, we consider
the use of a modified mobile phone as the capture device.
[0434] In some embodiments, the phone hardware is not modified to
support the system, such as where the text capture can be
adequately done through voice recognition, where they can either be
processed by the phone itself, or handled by a system at the other
end of a telephone call, or stored in the phone's memory for future
processing. Many modern phones have the ability to download
software that could implement some parts of the system. Such voice
capture is likely to be suboptimal in many situations, however, for
example when there is substantial background noise, and accurate
voice recognition is a difficult task at the best of times. The
audio facilities may best be used to capture voice annotations.
[0435] In some embodiments, the camera built into many mobile
phones is used to capture an image of the text. The phone display,
which would normally act as a viewfinder for the camera, may
overlay on the live camera image information about the quality of
the image and its suitability for OCR, which segments of text are
being captured, and even a transcription of the text if the OCR can
be performed on the phone.
[0436] In some embodiments, the phone is modified to add dedicated
capture facilities, or to provide such functionality in a clip-on
adaptor or a separate Bluetooth-connected peripheral in
communication with the phone. Whatever the nature of the capture
mechanism, the integration with a modern cellphone has many other
advantages. The phone has connectivity with the wider world, which
means that queries can be submitted to remote search engines or
other parts of the system, and copies of documents may be retrieved
for immediate storage or viewing. A phone typically has sufficient
processing power for many of the functions of the system to be
performed locally, and sufficient storage to capture a reasonable
amount of data. The amount of storage can also often be expanded by
the user. Phones have reasonably good displays and audio facilities
to provide user feedback, and often a vibrate function for tactile
feedback. They also have good power supplies.
[0437] Most significantly of all, they are a device that most users
are already carrying.
[0438] Part III--Example Applications of the System
[0439] This section lists example uses of the system and
applications that may be built on it. This list is intended to be
purely illustrative and in no sense exhaustive.
16. Personal Applications
[0440] 16.1. Life Library
[0441] The Life Library (see also Section 6.1.1) is a digital
archive of any important documents that the subscriber wishes to
save and is a set of embodiments of services of this system.
Important books, magazine articles, newspaper clippings, etc., can
all be saved in digital form in the Life Library. Additionally, the
subscriber's annotations, comments, and notes can be saved with the
documents. The Life Library can be accessed via the Internet and
World Wide Web.
[0442] The system creates and manages the Life Library document
archive for subscribers. The subscriber indicates which documents
the subscriber wishes to have saved in his life library by scanning
information from the document or by otherwise indicating to the
system that the particular document is to be added to the
subscriber's Life Library. The scanned information is typically
text from the document but can also be a barcode or other code
identifying the document. The system accepts the code and uses it
to identify the source document. After the document is identified
the system can store either a copy of the document in the user's
Life Library or a link to a source where the document may be
obtained.
[0443] One embodiment of the Life Library system can check whether
the subscriber is authorized to obtain the electronic copy. For
example, if a reader scans text or an identifier from a copy of an
article in the New York Times (NYT) so that the article will be
added to the reader's Life Library, the Life Library system will
verify with the NYT whether the reader is subscribed to the online
version of the NYT; if so, the reader gets a copy of the article
stored in his Life Library account; if not, information identifying
the document and how to order it is stored in his Life Library
account.
[0444] In some embodiments, the system maintains a subscriber
profile for each subscriber that includes access privilege
information. Document access information can be compiled in several
ways, two of which are: 1) the subscriber supplies the document
access information to the Life Library system, along with his
account names and passwords, etc., or 2) the Life Library service
provider queries the publisher with the subscriber's information
and the publisher responds by providing access to an electronic
copy if the Life Library subscriber is authorized to access the
material. If the Life Library subscriber is not authorized to have
an electronic copy of the document, the publisher provides a price
to the Life Library service provider, which then provides the
customer with the option to purchase the electronic document. If
so, the Life Library service provider either pays the publisher
directly and bills the Life Library customer later or the Life
Library service provider immediately bills the customer's credit
card for the purchase. The Life Library service provider would get
a percentage of the purchase price or a small fixed fee for
facilitating the transaction.
[0445] The system can archive the document in the subscriber's
personal library and/or any other library to which the subscriber
has archival privileges. For example, as a user scans text from a
printed document, the Life Library system can identify the rendered
document and its electronic counterpart. After the source document
is identified, the Life Library system might record information
about the source document in the user's personal library and in a
group library to which the subscriber has archival privileges.
Group libraries are collaborative archives such as a document
repository for: a group working together on a project, a group of
academic researchers, a group web log, etc.
[0446] The life library can be organized in many ways:
chronologically, by topic, by level of the subscriber's interest,
by type of publication (newspaper, book, magazine, technical paper,
etc.), where read, when read, by ISBN or by Dewey decimal, etc. In
one alternative, the system can learn classifications based on how
other subscribers have classified the same document. The system can
suggest classifications to the user or automatically classify the
document for the user.
[0447] In various embodiments, annotations may be inserted directly
into the document or may be maintained in a separate file. For
example, when a subscriber scans text from a newspaper article, the
article is archived in his Life Library with the scanned text
highlighted. Alternatively, the article is archived in his Life
Library along with an associated annotation file (thus leaving the
archived document unmodified). Embodiments of the system can keep a
copy of the source document in each subscriber's library, a copy in
a master library that many subscribers can access, or link to a
copy held by the publisher.
[0448] In some embodiments, the Life Library stores only the user's
modifications to the document (e.g., highlights, etc.) and a link
to an online version of the document (stored elsewhere). The system
or the subscriber merges the changes with the document when the
subscriber subsequently retrieves the document.
[0449] If the annotations are kept in a separate file, the source
document and the annotation file are provided to the subscriber and
the subscriber combines them to create a modified document.
Alternatively, the system combines the two files prior to
presenting them to the subscriber. In another alternative, the
annotation file is an overlay to the document file and can be
overlaid on the document by software in the subscriber's
computer.
[0450] Subscribers to the Life Library service pay a monthly fee to
have the system maintain the subscriber's archive. Alternatively,
the subscriber pays a small amount (e.g., a micro-payment) for each
document stored in the archive. Alternatively, the subscriber pays
to access the subscriber's archive on a per-access fee.
Alternatively, subscribers can compile libraries and allow others
to access the materials/annotations on a revenue share model with
the Life Library service provider and copyright holders.
Alternatively, the Life Library service provider receives a payment
from the publisher when the Life Library subscriber orders a
document (a revenue share model with the publisher, where the Life
Library service provider gets a share of the publisher's
revenue).
[0451] In some embodiments, the Life Library service provider acts
as an intermediary between the subscriber and the copyright holder
(or copyright holder's agent, such as the Copyright Clearance
Center, a.k.a. CCC) to facilitate billing and payment for
copyrighted materials. The Life Library service provider uses the
subscriber's billing information and other user account information
to provide this intermediation service. Essentially, the Life
Library service provider leverages the pre-existing relationship
with the subscriber to enable purchase of copyrighted materials on
behalf of the subscriber.
[0452] In some embodiments, the Life Library system can store
excerpts from documents. For example, when a subscriber scans text
from a paper document, the regions around the scanned text are
excerpted and placed in the Life Library, rather than the entire
document being archived in the life library. This is especially
advantageous when the document is long because preserving the
circumstances of the original scan prevents the subscriber from
re-reading the document to find the interesting portions. Of
course, a hyperlink to the entire electronic counterpart of the
paper document can be included with the excerpt materials.
[0453] In some embodiments, the system also stores information
about the document in the Life Library, such as author, publication
title, publication date, publisher, copyright holder (or copyright
holder's licensing agent), ISBN, links to public annotations of the
document, readrank, etc. Some of this additional information about
the document is a form of paper document metadata. Third parties
may create public annotation files for access by persons other than
themselves, such the general public. Linking to a third party's
commentary on a document is advantageous because reading annotation
files of other users enhances the subscriber's understanding of the
document.
[0454] In some embodiments, the system archives materials by class.
This feature allows a Life Library subscriber to quickly store
electronic counterparts to an entire class of paper documents
without access to each paper document. For example, when the
subscriber scans some text from a copy of National Geographic
magazine, the system provides the subscriber with the option to
archive all back issues of the National Geographic. If the
subscriber elects to archive all back issues, the Life Library
service provider would then verify with the National Geographic
Society whether the subscriber is authorized to do so. If not, the
Life Library service provider can mediate the purchase of the right
to archive the National Geographic magazine collection.
[0455] 16.2. Life Saver
[0456] A variation on, or enhancement of, the Life Library concept
is the "Life Saver," where the system uses the text captured by a
user to deduce more about their other activities. The scanning of a
menu from a particular restaurant, a program from a particular
theater performance, a timetable at a particular railway station,
or an article from a local newspaper allows the system to make
deductions about the user's location and social activities, and
could construct an automatic diary for them, for example as a
website. The user would be able to edit and modify the diary, add
additional materials such as photographs and, of course, look again
at the items scanned.
17. Academic Applications
[0457] Portable scanners supported by the described system have
many compelling uses in the academic setting. They can enhance
student/teacher interaction and augment the learning experience.
Among other uses, students can annotate study materials to suit
their unique needs; teachers can monitor classroom performance; and
teachers can automatically verify source materials cited in student
assignments.
[0458] 17.1. Children's Books
[0459] A child's interaction with a paper document, such as a book,
is monitored by a literacy acquisition system that employs a
specific set of embodiments of this system. The child uses a
portable scanner that communicates with other elements of the
literacy acquisition system. In addition to the portable scanner,
the literacy acquisition system includes a computer having a
display and speakers, and a database accessible by the computer.
The scanner is coupled with the computer (hardwired, short range
RF, etc.). When the child sees an unknown word in the book, the
child scans it with the scanner. In one embodiment, the literacy
acquisition system compares the scanned text with the resources in
its database to identify the word. The database includes a
dictionary, thesaurus, and/or multimedia files (e.g., sound,
graphics, etc.). After the word has been identified, the system
uses the computer speakers to pronounce the word and its definition
to the child. In another embodiment, the word and its definition
are displayed by the literacy acquisition system on the computer's
monitor. Multimedia files about the scanned word can also be played
through the computer's monitor and speakers. For example, if a
child reading "Goldilocks and the Three Bears" scanned the word
"bear," the system might pronounce the word "bear" and play a short
video about bears on the computer's monitor. In this way, the child
learns to pronounce the written word and is visually taught what
the word means via the multimedia presentation.
[0460] The literacy acquisition system provides immediate auditory
and/or visual information to enhance the learning process. The
child uses this supplementary information to quickly acquire a
deeper understanding of the written material. The system can be
used to teach beginning readers to read, to help children acquire a
larger vocabulary, etc. This system provides the child with
information about words with which the child is unfamiliar or about
which the child wants more information.
[0461] 17.2. Literacy Acquisition
[0462] In some embodiments, the system compiles personal
dictionaries. If the reader sees a word that is new, interesting,
or particularly useful or troublesome, the reader saves it (along
with its definition) to a computer file. This computer file becomes
the reader's personalized dictionary. This dictionary is generally
smaller in size than a general dictionary so can be downloaded to a
mobile station or associated device and thus be available even when
the system isn't immediately accessible. In some embodiments, the
personal dictionary entries include audio files to assist with
proper word pronunciation and information identifying the paper
document from which the word was scanned.
[0463] In some embodiments, the system creates customized spelling
and vocabulary tests for students. For example, as a student reads
an assignment, the student may scan unfamiliar words with the
portable scanner. The system stores a list of all the words that
the student has scanned. Later, the system administers a customized
spelling/vocabulary test to the student on an associated monitor
(or prints such a test on an associated printer).
[0464] 17.3. Music Teaching
[0465] The arrangement of notes on a musical staff is similar to
the arrangement of letters in a line of text. The same scanning
device discussed for capturing text in this system can be used to
capture music notation, and an analogous process of constructing a
search against databases of known musical pieces would allow the
piece from which the capture occurred to be identified which can
then be retrieved, played, or be the basis for some further
action.
[0466] 17.4. Detecting Plagiarism
[0467] Teachers can use the system to detect plagiarism or to
verify sources by scanning text from student papers and submitting
the scanned text to the system. For example, a teacher who wishes
to verify that a quote in a student paper came from the source that
the student cited can scan a portion of the quote and compare the
title of the document identified by the system with the title of
the document cited by the student. Likewise, the system can use
scans of text from assignments submitted as the student's original
work to reveal if the text was instead copied.
[0468] 17.5. Enhanced Textbook
[0469] In some embodiments, capturing text from an academic
textbook links students or staff to more detailed explanations,
further exercises, student and staff discussions about the
material, related example past exam questions, further reading on
the subject, recordings of the lectures on the subject, and so
forth. (See also Section 7.1.)
[0470] 17.6. Language Learning
[0471] In some embodiments, the system is used to teach foreign
languages. Scanning a Spanish word, for example, might cause the
word to be read aloud in Spanish along with its definition in
English.
[0472] The system provides immediate auditory and/or visual
information to enhance the new language acquisition process. The
reader uses this supplementary information to acquire quickly a
deeper understanding of the material. The system can be used to
teach beginning students to read foreign languages, to help
students acquire a larger vocabulary, etc. The system provides
information about foreign words with which the reader is unfamiliar
or for which the reader wants more information.
[0473] Reader interaction with a paper document, such as a
newspaper or book, is monitored by a language skills system. The
reader has a portable scanner that communicates with the language
skills system. In some embodiments, the language skills system
includes a computer having a display and speakers, and a database
accessible by the computer. The scanner communicates with the
computer (hardwired, short range RF, etc.). When the reader sees an
unknown word in an article, the reader scans it with the scanner.
The database includes a foreign language dictionary, thesaurus,
and/or multimedia files (sound, graphics, etc.). In one embodiment,
the system compares the scanned text with the resources in its
database to identify the scanned word. After the word has been
identified, the system uses the computer speakers to pronounce the
word and its definition to the reader. In some embodiments, the
word and its definition are both displayed on the computer's
monitor. Multimedia files about grammar tips related to the scanned
word can also be played through the computer's monitor and
speakers. For example, if the words "to speak" are scanned, the
system might pronounce the word "hablar," play a short audio clip
that demonstrates the proper Spanish pronunciation, and display a
complete list of the various conjugations of "hablar." In this way,
the student learns to pronounce the written word, is visually
taught the spelling of the word via the multimedia presentation,
and learns how to conjugate the verb. The system can also present
grammar tips about the proper usage of "hablar" along with common
phrases.
[0474] In some embodiments, the user scans a word or short phrase
from a rendered document in a language other than the user's native
language (or some other language that the user knows reasonably
well). In some embodiments, the system maintains a prioritized list
of the user's "preferred" languages. The system identifies the
electronic counterpart of the rendered document, and determines the
location of the scan within the document. The system also
identifies a second electronic counterpart of the document that has
been translated into one of the user's preferred languages, and
determines the location in the translated document corresponding to
the location of the scan in the original document. When the
corresponding location is not known precisely, the system
identifies a small region (e.g., a paragraph) that includes the
corresponding location of the scanned location. The corresponding
translated location is then presented to the user. This provides
the user with a precise translation of the particular usage at the
scanned location, including any slang or other idiomatic usage that
is often difficult to accurately translate on a word-byword
basis.
[0475] 17.7. Gathering Research Materials
[0476] A user researching a particular topic may encounter all
sorts of material, both in print and on screen, which they might
wish to record as relevant to the topic in some personal archive.
The system would enable this process to be automatic as a result of
scanning a short phrase in any piece of material, and could also
create a bibliography suitable for insertion into a publication on
the subject.
18. Commercial Applications
[0477] Obviously, commercial activities could be made out of almost
any process discussed in this document, but here we concentrate on
a few obvious revenue streams.
[0478] 18.1. Fee-Based Searching and Indexing
[0479] Conventional Internet search engines typically provide free
search of electronic documents, and also make no charge to the
content providers for including their content in the index. In some
embodiments, the system provides for charges to users and/or
payments to search engines and/or content providers in connection
with the operation and use of the system.
[0480] In some embodiments, subscribers to the system's services
pay a fee for searches originating from scans of paper documents.
For example, a stockbroker may be reading a Wall Street Journal
article about a new product offered by Company X. By scanning the
Company X name from the paper document and agreeing to pay the
necessary fees, the stockbroker uses the system to search special
or proprietary databases to obtain premium information about the
company, such as analyst's reports. The system can also make
arrangements to have priority indexing of the documents most likely
to be read in paper form, for example by making sure all of the
newspapers published on a particular day are indexed and available
by the time they hit the streets.
[0481] Content providers may pay a fee to be associated with
certain terms in search queries submitted from paper documents. For
example, in one embodiment, the system chooses a most preferred
content provider based on additional context about the provider
(the context being, in this case, that the content provider has
paid a fee to be moved up the results list). In essence, the search
provider is adjusting paper document search results based on
pre-existing financial arrangements with a content provider. See
also the description of keywords and key phrases in Section
5.2.
[0482] Where access to particular content is to be restricted to
certain groups of people (such as clients or employees), such
content may be protected by a firewall and thus not generally
indexable by third parties. The content provider may nonetheless
wish to provide an index to the protected content. In such a case,
the content provider can pay a service provider to provide the
content provider's index to system subscribers. For example, a law
firm may index all of a client's documents. The documents are
stored behind the law firm's firewall. However, the law firm wants
its employees and the client to have access to the documents
through the portable scanner so it provides the index (or a pointer
to the index) to the service provider, which in turn searches the
law firm's index when employees or clients of the law firm submit
paper-scanned search terms via their portable scanners. The law
firm can provide a list of employees and/or clients to the service
provider's system to enable this function or the system can verify
access rights by querying the law firm prior to searching the law
firm's index. Note that in the preceding example, the index
provided by the law firm is only of that client's documents, not an
index of all documents at the law firm. Thus, the service provider
can only grant the law firm's clients access to the documents that
the law firm indexed for the client.
[0483] There are at least two separate revenue streams that can
result from searches originating from paper documents: one revenue
stream from the search function, and another from the content
delivery function. The search function revenue can be generated
from paid subscriptions from the scanner users, but can also be
generated on a per-search charge. The content delivery revenue can
be shared with the content provider or copyright holder (the
service provider can take a percentage of the sale or a fixed fee,
such as a micropayment, for each delivery), but also can be
generated by a "referral" model in which the system gets a fee or
percentage for every item that the subscriber orders from the
online catalog and that the system has delivered or contributed to,
regardless of whether the service provider intermediates the
transaction. In some embodiments, the system service provider
receives revenue for all purchases that the subscriber made from
the content provider, either for some predetermined period of time
or at any subsequent time when a purchase of an identified product
is made.
[0484] 18.2. Catalogs
[0485] Consumers may use the portable scanner to make purchases
from paper catalogs. The subscriber scans information from the
catalog that identifies the catalog. This information is text from
the catalog, a bar code, or another identifier of the catalog. The
subscriber scans information identifying the products that s/he
wishes to purchase. The catalog mailing label may contain a
customer identification number that identifies the customer to the
catalog vendor. If so, the subscriber can also scan this customer
identification number. The system acts as an intermediary between
the subscriber and the vendor to facilitate the catalog purchase by
providing the customer's selection and customer identification
number to the vendor.
[0486] 18.3. Coupons
[0487] A consumer scans paper coupons and saves an electronic copy
of the coupon in the scanner, or in a remote device such as a
computer, for later retrieval and use. An advantage of electronic
storage is that the consumer is freed from the burden of carrying
paper coupons. A further advantage is that the electronic coupons
may be retrieved from any location. In some embodiments, the system
can track coupon expiration dates, alert the consumer about coupons
that will expire soon, and/or delete expired coupons from storage.
An advantage for the issuer of the coupons is the possibility of
receiving more feedback about who is using the coupons and when and
where they are captured and used.
19. General Applications
[0488] 19.1. Forms
[0489] The system may be used to auto-populate an electronic
document that corresponds to a paper form. A user scans in some
text or a barcode that uniquely identifies the paper form. The
scanner communicates the identity of the form and information
identifying the user to a nearby computer. The nearby computer has
an Internet connection. The nearby computer can access a first
database of forms and a second database having information about
the user of the scanner (such as a service provider's subscriber
information database). The nearby computer accesses an electronic
version of the paper form from the first database and
auto-populates the fields of the form from the user's information
obtained from the second database. The nearby computer then emails
the completed form to the intended recipient. Alternatively, the
computer could print the completed form on a nearby printer.
[0490] Rather than access an external database, in some
embodiments, the system has a portable scanner that contains the
user's information, such as in an identity module, SIM, or security
card. The scanner provides information identifying the form to the
nearby PC. The nearby PC accesses the electronic form and queries
the scanner for any necessary information to fill out the form.
[0491] 19.2. Business Cards
[0492] The system can be used to automatically populate electronic
address books or other contact lists from paper documents. For
example, upon receiving a new acquaintance's business card, a user
can capture an image of the card with his/her cellular phone. The
system will locate an electronic copy of the card, which can be
used to update the cellular phone's onboard address book with the
new acquaintance's contact information. The electronic copy may
contain more information about the new acquaintance than can be
squeezed onto a business card. Further, the onboard address book
may also store a link to the electronic copy such that any changes
to the electronic copy will be automatically updated in the cell
phone's address book. In this example, the business card optionally
includes a symbol or text that indicates the existence of an
electronic copy. If no electronic copy exists, the cellular phone
can use OCR and knowledge of standard business card formats to fill
out an entry in the address book for the new acquaintance. Symbols
may also aid in the process of extracting information directly from
the image. For example, a phone icon next to the phone number on
the business card can be recognized to determine the location of
the phone number.
[0493] 19.3. Proofreading/Editing
[0494] The system can enhance the proofreading and editing process.
One way the system can enhance the editing process is by linking
the editor's interactions with a paper document to its electronic
counterpart. As an editor reads a paper document and scans various
parts of the document, the system will make the appropriate
annotations or edits to an electronic counterpart of the paper
document. For example, if the editor scans a portion of text and
makes the "new paragraph" control gesture with the scanner, a
computer in communication with the scanner would insert a "new
paragraph" break at the location of the scanned text in the
electronic copy of the document.
[0495] 19.4. Voice Annotation
[0496] A user can make voice annotations to a document by scanning
a portion of text from the document and then making a voice
recording that is associated with the scanned text. In some
embodiments, the scanner has a microphone to record the user's
verbal annotations. After the verbal annotations are recorded, the
system identifies the document from which the text was scanned,
locates the scanned text within the document, and attaches the
voice annotation at that point. In some embodiments, the system
converts the speech to text and attaches the annotation as a
textual comment.
[0497] In some embodiments, the system keeps annotations separate
from the document, with only a reference to the annotation kept
with the document. The annotations then become an annotation markup
layer to the document for a specific subscriber or group of
users.
[0498] In some embodiments, for each capture and associated
annotation, the system identifies the document, opens it using a
software package, scrolls to the location of the scan and plays the
voice annotation. The user can then interact with a document while
referring to voice annotations, suggested changes or other comments
recorded either by themselves or by somebody else.
[0499] 19.5. Help In Text
[0500] The described system can be used to enhance paper documents
with electronic help menus. In some embodiments, a markup layer
associated with a paper document contains help menu information for
the document. For example, when a user scans text from a certain
portion of the document, the system checks the markup associated
with the document and presents a help menu to the user. The help
menu is presented on a display on the scanner or on an associated
nearby display.
[0501] 19.6. Use with Displays
[0502] In some situations, it is advantageous to be able to scan
information from a television, computer monitor, or other similar
display. In some embodiments, the portable scanner is used to scan
information from computer monitors and televisions. In some
embodiments, the portable optical scanner has an illumination
sensor that is optimized to work with traditional cathode ray tube
(CRT) display techniques such as rasterizing, screen blanking,
etc.
[0503] A voice capture device which operates by capturing audio of
the user reading text from a document will typically work
regardless of whether that document is on paper, on a display, or
on some other medium.
[0504] 19.6.1. Public Kiosks and Dynamic Session IDs
[0505] One use of the direct scanning of displays is the
association of devices as described in Section 15.6. For example,
in some embodiments, a public kiosk displays a dynamic session ID
on its monitor. The kiosk is connected to a communication network
such as the Internet or a corporate intranet. The session ID
changes periodically but at least every time that the kiosk is used
so that a new session ID is displayed to every user. To use the
kiosk, the subscriber scans in the session ID displayed on the
kiosk; by scanning the session ID, the user tells the system that
he wishes to temporarily associate the kiosk with his scanner for
the delivery of content resulting from scans of printed documents
or from the kiosk screen itself. The scanner may communicate the
Session ID and other information authenticating the scanner (such
as a serial number, account number, or other identifying
information) directly to the system. For example, the scanner can
communicate directly (where "directly" means without passing the
message through the kiosk) with the system by sending the session
initiation message through the user's cell phone (which is paired
with the user's scanner via Bluetooth.TM.). Alternatively, the
scanner can establish a wireless link with the kiosk and use the
kiosk's communication link by transferring the session initiation
information to the kiosk (perhaps via short range RF such as
Bluetooth.TM., etc.); in response, the kiosk sends the session
initiation information to the system via its Internet
connection.
[0506] The system can prevent others from using a device that is
already associated with a scanner during the period (or session) in
which the device is associated with the scanner. This feature is
useful to prevent others from using a public kiosk before another
person's session has ended. As an example of this concept related
to use of a computer at an Internet cafe, the user scans a barcode
on a monitor of a PC which s/he desires to use; in response, the
system sends a session ID to the monitor that it displays; the user
initiates the session by scanning the session ID from the monitor
(or entering it via a keypad or touch screen or microphone on the
portable scanner); and the system associates in its databases the
session ID with the serial number (or other identifier that
uniquely identifies the user's scanner) of his/her scanner so
another scanner cannot scan the session ID and use the monitor
during his/her session. The scanner is in communication (through
wireless link such as Bluetooth.TM., a hardwired link such as a
docking station, etc.) with a PC associated with the monitor or is
in direct (i.e., w/o going through the PC) communication with the
system via another means such as a cellular phone, etc.
[0507] Part IV--System Details
[0508] A software and/or hardware system for triggering actions,
such as advertising, in response to optically or acoustically
capturing keywords from a rendered document or in response to
identifying a document based on the captured keywords is described
("the system"). In some cases, the system presents advertising,
displays annotations, or modifies or applies actions to keywords.
Keywords as used here mean one or more words, icons, symbols, or
images. While the terms "word" and "words" are often used in this
application, icons, symbols, or images can be employed in some
embodiments. Keywords as used here also refer to phrases comprised
of one or more adjacent symbols. Keywords as used here include
words relating to topics or subjects identified in response to a
capture and discussed with a rendered document or a portion of a
rendered document. Keywords may optionally include classes of
objects recognizable by regular expression algorithms or image
processing. Such classes of objects may include email addresses,
mailing addresses, phone numbers, URLs, hyperlinks and other
pointers to content, quotations, trademarks, logos, proper names,
times of day, dates, and so on.
[0509] Keywords can be considered to be "overloaded"--that is, they
have some associated meaning or action beyond their common (e.g.,
visual) meaning to the user as text or symbols. In some embodiments
the association between keywords and meanings or actions is
established by means of markup processes or data. In some
embodiments the association between keywords or documents and
meanings or actions is known to the system at the time the capture
or identification is made. In some embodiments the association
between keywords or documents and meanings or actions is
established after a capture or identification has been made.
[0510] In some embodiments, the system identifies a document and
uses the content of the document to trigger and select advertising
to be presented to a user. In some cases, the system may analyze
the document and associate the content of the document with one or
more keywords. In some cases, the system chooses the advertising
(the actions) based on the content of the entire document. In some
cases, the system chooses the advertising based on a portion of the
document that contains or is near the captured text. In some cases,
the system chooses the advertising based on content of the document
not used when identifying the document.
[0511] In some embodiments of the described system interacting with
keywords in a rendered document does not require that a capture
from the document specifically contain the keyword, or that a
keyword associated with an identified document is a specific
keyword. A capture can trigger actions associated with a keyword if
the capture includes the keyword entirely, overlaps (contains part
of) the keyword, is near the keyword (for example in the same
paragraph or on the same page), or contains information (e.g.,
words, icons, tokens, symbols, images) similar to or related to the
information contained in the keyword. Actions associated with a
keyword can be invoked when a user captures a synonym of a word
included in the keyword or if a document is associated with a
synonym of a keyword. For example, if a keyword includes the word
"cat," and a user captures text including the word "feline," the
actions associated with "cat" can optionally be invoked.
Alternatively, if a user captures anywhere on a page containing the
word "cat" or the word "feline," the actions associated with a
keyword containing "cat" can optionally be invoked.
[0512] Similarly, if the system identifies a document, analyzes the
content of the document, and determines keywords of the document
including "feline," the system may invoke actions (such as
advertising messages) associated with the keyword "cat."
[0513] In some embodiments the specific instructions and/or data
specifying how captures relate to keywords, and what specific
actions result from these captures, are stored as markup within the
system.
[0514] In some embodiments the actions taken in association with a
keyword are in part determined by how a capture was made. Captures
near a keyword, overlapping a keyword, containing a keyword plus
other material, and containing exactly the keyword--may each result
in a different set of actions. Capturing the keyword "IBM" with no
surrounding material can send the user's browser to IBM's website.
Capturing IBM within a surrounding sentence can cause an
advertisement for IBM to be displayed while the system processes
and responds to the other captured material. In some embodiments
keywords can be nested or they can overlap. The system could have
actions associated with "IBM data," "data server," and "data"--and
the actions associated with some or all of these keywords can be
invoked when a user captures the phrase "IBM data server."
[0515] An example of a keyword is the term "IBM"--and its
appearance in a document could be associated with directing the
reader's web browser to the IBM website. Other examples of keywords
are the phrase "Sony Headset," the product model number "DR-EX151,"
and the book title, "Learning the Bash Shell." An action associated
with these keywords could be consulting a list of objects for sale
at Amazon.com, matching one or more of the terms included to one or
more objects for sale, and providing the user an opportunity to
purchase these objects through Amazon.
[0516] In some embodiments the system identifies an electronic
counterpart based on the capture of text and then performs actions
(such as presenting advertising) based on the identification. For
example, a capture of the text "DR-EX151 Specification Sheet" may
identify a product specification document for that product model.
In this example, the system retrieves the electronic version of the
document and presents the document, along with related advertising,
to the user. The system may present advertising separately from the
document (such as by sending an email message providing information
related to similar products) or may present advertising within the
electronic counterpart (such as embedded within the electronic
counterpart).
[0517] Some embodiments of the disclosed system perform contextual
actions in response to a data capture from a rendered document.
Contextual action refers to the practice of initiating or taking an
action, such as presenting a menu of user choices or presenting an
advertising message, in the context of, or in response to, other
information, such as the information in or near text captured from
a specific location in a rendered document.
[0518] One type of contextual action is contextual advertising,
which refers to presenting to a user an advertisement that is
chosen based on the captured information and some context. A subset
of contextual advertising--referred to herein as "dynamic
contextual advertising"--involves dynamically selecting one of a
number of available advertising messages to present in connection
with related content.
[0519] Contextual advertising can be particularly effective because
it delivers advertising messages to people who have an interest in
the advertiser's product, at a time when those people are exploring
those interests. Dynamic contextual advertising can be especially
effective, because it retains the flexibility to present, at the
time the content is being read, advertising messages that were not
available at the time the content was created or published.
[0520] Various embodiments provide contextual actions for rendered
documents. Contextual actions can provide actions and responses
appropriate to a specific context, i.e., the actions can vary as
the context varies. An example of contextual action in the system
is a menu that appears on a display associated with a portable
capture device 302 when the user captures text from a document.
This menu can vary dynamically depending upon the text captured,
the location from which the text was captured, etc.
[0521] Actions may optionally include a verb, such as "display",
and an object, such as "advertising message". Additional verbs
supported by the system in some embodiments include send or receive
(e.g., an email message, an instant message, a copy of the document
containing a capture or keyword), print (e.g., a brochure),
"browse" (e.g., a web page), and "launch" (e.g., a computer
application).
[0522] In some embodiments, triggered actions include presenting
advertising messages on behalf of an advertiser or sponsor. In some
embodiments, actions may be associated with all documents, a group
of documents, a single document, or a portion of a document.
[0523] In some embodiments the triggered actions include presenting
a menu of possible user-initiated actions or choices. In some
embodiments the menu of choices is presented on an associated
display device, for example on a cell phone display, personal
computer display 421, or on a display integrated into the capture
device 302. In some embodiments the menu of choices is also
available, in whole or in part, when a user reviews a capture at a
later time from their user account history or Life Library. In some
embodiments the menu of actions is determined by markup data and/or
markup processes associated with keywords, with a rendered
document, or with a larger group or class of documents.
[0524] In some embodiments a menu of actions can optionally have
zero, one, or more default actions. In some embodiments the default
actions are initiated if the user does not interact with the menu,
for example if the user proceeds to a subsequent capture. In some
embodiments default actions are determined by markup data and/or
markup processes associated with keywords, with a rendered
document, or with a larger group or class of documents.
[0525] In some embodiments a menu of actions is presented such that
items more likely to be selected by a user appear closer to some
known location or reference--such as the top of the menu list. The
probability of selection can be determined, in some embodiments, by
tracking those items selected in the past by this user and by other
users of the system. In some embodiments a menu of actions can
include a subset of standard actions employed by the system.
Standard actions, along with menu items specific to a particular
capture, can appear in different combinations in different
contexts. Some standard actions can appear in menus when no
keywords are recognized and/or the context of a capture is not
known. Some standard actions can appear in menus generated when a
capture device 302 is disconnected from other components of the
system.
[0526] Standard actions can include, among others: [0527] speak
this word/phrase [0528] translate this to another language (and
speak, display, or print) [0529] help function [0530] tell be more
about this [0531] show me a picture of this [0532] bookmark this
[0533] underline this [0534] excerpt (copy) this [0535] add this to
my calendar [0536] add this to my contacts list [0537] purchase
this [0538] email me this [0539] save this in my archive [0540] add
a voice annotation here [0541] play any associated voice annotation
[0542] show me associated content [0543] show me related content
[0544] find this subject in the index or table of contents [0545]
note this topic is of interest [0546] take me to this website
[0547] please send me information about this [0548] send me this
form to be completed [0549] complete this form for me [0550] submit
this form with my information [0551] search for this on the web
[0552] print this document [0553] bring this document up on my
computer screen or associated display [0554] show all occurrences
of this word/phrase in the document on my display [0555] search for
and show me this word/phrase when used in other contexts [0556]
choose this item (e.g., multiple choice) [0557] excerpt this to a
linear file of notes. [0558] show me what others have written or
spoken about this document/page/line/phrase [0559] dial this phone
number [0560] tell me when this document becomes available online
[0561] send me this information about this if/when it becomes
available [0562] send an email to this person/company/address
[0563] tell me if I am a winner of this context/prize/offer [0564]
register me for this event, prize/drawing/lottery [0565] record
that I have read this passage [0566] record that I agree with this
statement/contract/clause [0567] tell me when new information on
this topic becomes available [0568] watch this topic for me [0569]
tell me when/if this document changes
[0570] In some embodiments a menu of actions is optionally
presented for nearby content, as well as content specifically
captured by the user. In some embodiments, the system uses choices
selected in earlier captures to determine which items to present in
subsequent interactions with a document and their order of
presentation. Frequently selected menu items can appear at the top
of a menu presentation. In some embodiments, menu items can
optionally invoke additional sub-menus of related choices.
[0571] The following text makes reference to labels in the attached
figures, which are described in further detail later. Where
multiple actions are available for a single keyword, some
embodiments of the system use a variety of behavior rules to select
a subset of these actions to perform, e.g, the rules can specify a
hierarchy for determining which actions take precedence over the
others. For example, the rules can specify that the system selects
actions in increasing order of the size of the body of content to
which they apply. As an example, where a keyword is captured in a
particular chapter of a particular textbook published by a
particular publisher, the system may choose a first action
associated with the chapter of the textbook, ahead of a second
action associated with the particular textbook, ahead of a third
action associated with all of the textbooks published by the
publisher. The system may also select actions based upon a
geographical region or location in which the capture device 302
resides at the time of capturing, a time or date range in which the
keyword is captured, various other kinds of context information
relating to the capture, various kinds of profile information
associated with the user, and/or an amount of money or other
compensation a sponsor has agreed to provide to sponsor the
action.
[0572] In some embodiments, the system utilizes a handheld optical
and/or acoustical capture device, such as a handheld optical and/or
acoustical capture device 302 wirelessly connected to a computer
212 system, or the acoustic and/or imaging components in a cell
phone, or similar components integrated into a PDA ("Personal
Digital Assistant").
[0573] In some embodiments, the system includes an optical and/or
acoustical capture device 302 used to capture from a rendered
document and communicate with a keyword server 440 storing keyword
registration information. In some embodiments keyword registration
information is stored in a database of registered keywords. In some
embodiments this information is stored in a database of markup
data. In some embodiments this information is stored in a markup
document associated with the rendered document.
[0574] In some embodiments, the capture device 302 is a portable or
handheld scanner, such as "pen" scanner that has a scanning
aperture suitable for scanning text line by line rather than a
"flatbed" scanner that scans an entire page at a time. Flatbed
scanners are generally not portable and are considerably more bulky
than pen scanners. The pen scanner may have an indicator to
indicate to the user when a keyword has been scanned in. For
example, the scanner may illuminate an LED 332 to let the user know
that a scanned word has been recognized as a keyword. The user
might press a button on the scanner (or perform a gesture with the
scanner) to initiate a process whereby an associated action is
taken, for example where information related to the keyword is sent
to the user.
[0575] The capture device 302 may have an associated display
device. Examples of associated display devices include a personal
computer display 421 and the display on a cell phone (216). Menus
of actions and other interactive and informational data can be
displayed on the associated display device. When the capture device
302 is integrated within, or uses the components of, a cell phone,
the cell phone keypad can be used to select choices from a menu
presented on the cell phone display, and to control and interact
with the described system and functions.
[0576] In cases where the capture device 302 is not in
communication with the keyword server 440 during the capture, it
may be desirable to have a local cache of popular keywords,
associated actions, markup data, etc., in the capture device 302 so
that it may initiate an action locally and independently. Examples
of local, independent actions are indicating acquisition of a
keyword, presenting a menu of choices to the user, and receiving
the user's response to the menu. Additional information about the
keywords, markup, etc., can be determined and acted upon when the
capture device 302 is next in communication with the keyword server
440.
[0577] In various embodiments, information associating words or
phrases with actions (e.g., markup information) can be stored in
the capture device 302, in the computer 212 system connected to the
capture device 302, and/or in other computer systems with which the
described system is able to communicate. A similarly broad range of
devices can be involved in performing an action in response to the
capturing of a keyword.
[0578] In combination with the capture device 302, the keyword
server 440 may be able to automatically identify the document from
which text has been captured and locate an electronic version of
the rendered document. For example, the text content in a capture
can be treated as a document signature. Such a signature typically
requires 10 or fewer words to uniquely identify a document--and in
most cases 3 to 8 words suffice. When additional context
information is known, the number of words required to identify a
document can be further reduced. In cases where multiple documents
match a signature, the most probable matches (for example, those
containing the most captures by this or other users) can be
presented to the user specially--for example as the first items in
a list or menu. When multiple documents match a signature, previous
or subsequent captures can be used to disambiguate the candidates
and correctly identify the rendered document in the possession of
the user--and, optionally, correctly locate its digital
counterpart.
[0579] For users who are subscribers to a document retrieval
service provided in some embodiments of the system, the keyword
server 440 can deliver content related to the captured text, or
related to the subject matter of the context (e.g., paragraph,
page, magazine article) within which the capture was performed. The
response to a capture can therefore be dynamic depending on the
context of the capture, and further depending on the user's habits
and preferences that are known to the keyword server 440.
[0580] The system allows the efficient delivery of electronic
content that is related to text or other information (trademarks,
symbols, tokens, images, etc.) captured from a rendered
publication. It enables a new way to advertise and sell products
and services based on rendered publications such as newspapers and
magazines. In a traditional newspaper, the news stories do not
themselves contain advertisements. This system allows the text of
any article to potentially include advertisements through the use
of keywords associated with products, services, companies, etc.
[0581] One of the ways the system delivers enhanced content for a
rendered publication is by the use of keywords in the rendered
text. When a predetermined keyword is captured by a user, the
captured keyword triggers the delivery of content associated with
the keyword. In some embodiments the keyword is recognized by the
keyword server 440, causing content to be extracted from a database
and sent to a device (optionally an output device such as a display
or speaker) associated with the user. The associated device may be
a nearby display or printer. The system may associate each rendered
keyword (or combinations of keywords) with an advertisement for a
product or service. As an example, if the user captured the words
"new car" from a rendered document (such as an automotive magazine)
the system can be triggered to send an advertisement for a local
Ford dealership to a display near the location of the portable
capture device 302.
[0582] Similarly, if the user uses a capture device 302 to capture
a trademark from a rendered document, the system could send
information about the trademark holder's product lines to the user.
If the user captured a trademark and a product name, the
information sent to the user would be further narrowed to provide
information specific to that product. For example, if the user
captured the word "Sanford" then the system might recognize this
word as a trademark for the Sanford office supply company and
provide the user with an electronic copy of the Sanford office
supply catalog (or instead the system can provide a link to the
Sanford webpage having an online copy of the catalog). As another
example, if the user captured "Sanford uniball" the system might be
programmed to relate those keywords to uniball inkpens from the
Sanford company. If so, then the system would deliver information
about Sanford's line of uniball inkpens to the user. The system
might deliver this information in the form of an email (having
information about Sanford uniball inkpens or hotlinks to webpages
having information about the pens) to the user's email account, as
a push multimedia message to a display near the user, as a brochure
sent to the nearby printer, etc.
[0583] This method of associating keywords that are captured from a
rendered publication with the delivery of additional content to the
user is extremely useful for efficiently providing advertisements
and other materials to a targeted. By identifying keywords captured
by a user, the system can supply timely and useful information to
the user. A printer manufacturer may pay to have advertisements for
the manufacturer's printers sent to a user when the user captures
the keyword "computer printer." Further, the rights to a particular
keyword may be sold or leased with respect to one or more types of
content (e.g., within a particular magazine; within articles
associated with particular topics or near other keywords that apply
to topics). The system could exclusively associate the keyword
"computer printer" with a single printer manufacturer, or could
associate those keywords with a number of printer manufacturers (or
the word keyword "printer" in the context of an article whose topic
is associated with the keyword "computer"). In the case where
several printer manufacturers are associated with the keywords, the
system could deliver advertisements, coupons, etc., from each
manufacturer (or each manufacturer could acquire keyword rights in
separate contexts). If the user clicks through to take advantage of
any of the offers or to visit the manufacturer's website, the
manufacturer could be charged a small payment (often referred to as
a micropayment) by the operator of the system. In some embodiments,
the capture device 302 or an associated computer 212 can store
coupons for later use.
[0584] The system can also use context about the circumstances in
which the user captured the text to further categorize keywords and
captures. Keywords can be separately processed based on system
knowledge/recognition of context about the capture. Examples of
context are knowledge of the user's capturing history and
interests, the capturing history of other users in the same
document, the user's location, the document from which the text is
captured, other text or information near the capture (for example
in the same paragraph or on the same page as the capture), the time
of day at which the capture is performed, etc. For example, the
system could react differently to the same keywords depending upon
the location of the user, or depending on the surrounding text in
which the keyword appears. The service provider could sell or lease
the same keyword in different markets by knowing the location of
the capture device 302. An example is selling the same keyword to
advertiser #1 for users in New York and to advertiser #2 for users
in Seattle. The service provider could sell the "hammer" keyword to
local hardware stores in different cities.
[0585] There are many ways to "lease" or sell keywords in rendered
documents. The system could partition keyword leases based on time
of capture, location of capture, document from which captured, in
combination with other keywords (e.g., "Hammer" when it appears
near the terms "Nail" or "Construction"). As one example of leasing
a generic product description, the keywords "current book titles"
and "Bestsellers" could be sold to a book seller. When a user
captures the words "current book titles" or "bestsellers" from a
rendered document (such as a newspaper), a list of the top-sellers
could be sent along with a link to the bookseller webpage so that
the user may purchase them. Alternatively, the link may be a
"pass-through" link that is routed through the keyword server 440
(thereby allowing the system to count and audit click-through
transactions) so that the bookseller can share revenue for
click-through sales with the operator of the system and so that
bookseller can pay for advertising on a performance basis (i.e., a
small payment for each click-through generated by the service,
regardless of whether a sale results). Similarly, advertisers in
printed documents can pay based on captures in or near their
advertisements.
[0586] Capturing keywords in combination could result in the
delivery of different content. For example, capturing the keyword
"hammer" near (for example, near in time or in number of
intervening words) the keyword "nail" might result in the delivery
of advertising content from a hardware store. Whereas the keyword
"hammer" captured near the keyword "M. C." would result in the
delivery of content related to the entertainer M. C. Hammer.
[0587] Trademark holders can use the system to deliver
advertisements and messages about their products and services when
a user scans their trademark from a rendered document.
[0588] Keyword leases could be divided based upon geography. For
example, the keyword "buy new car" could be leased nationally to a
large automobile manufacturer, and/or could be leased regionally to
local auto dealers. In the case where "buy new car" is associated
with content from a local autodealer, the act of capturing "buy new
car" in New York City might result in the delivery of an
advertisement from a New York City car dealer but the same phrase
"buy new car" captured in Paris, France would result in delivery of
an advertisement from a car dealer near Paris.
[0589] Keyword leases could be divided based upon the document from
which the text is captured. For example, capturing the keyword
"Assault Weapon Ban" from a firearms magazine might result in the
delivery of pro-gun content from the National Rifle Association.
Capturing the same keyword "Assault Weapon Ban" from a liberal
magazine might result in the delivery of anti-gun content from The
Brady Center for Handgun Violence.
[0590] Celebrity names could be used to assist the celebrity in
delivering news and messages to fans. For example, the phrase
"Madonna" could be associated with content related to the performer
Madonna. When a user captures the word "Madonna" from a rendered
document, the system could send Madonna concert information for
venues near the location of the capture, links to purchase Madonna
music at Amazon.com, the latest promotional release from Madonna's
marketing company, a brief MP3 clip from her latest hit song,
etc.
[0591] The cost of associating an advertisement with certain
captured text may vary according to the time of capture. A term may
cost more to lease at certain peak hours and less at off hours. For
example, the term "diamond" might cost a diamond seller more to
lease during the peak Christmas shopping season than during the
time that yearly income taxes are due. As another example, a term
such as "lawnmower" might cost less to lease between midnight and
5:00 AM than between 9:00 AM and 7:00 PM because the late-night
audience (of users capturing text from a rendered document) is
presumably smaller.
[0592] A particular advertisement or message could be associated
with many keywords. For example, an advertisement for Harley
Davidson motorcycles could be associated with the keywords
"Harley," "Harley Davidson," "new motorcycle," "classic
motorcycle," etc.
[0593] An advertisement or message could be associated with a
relation between certain keywords, such as their relative
positions. For example, if a user captures the word "motorcycle"
from a rendered document, and if the keyword "buy" is within six
words of the keyword "motorcycle," then an advertisement or message
related to motorcycles would be delivered to the user. When the
document context is known, the fact that the keyword "buy" is
within a certain distance of the captured word "motorcycle" is
known to the system even when only the word "motorcycle" is
captured. Thus the action associated with the keywords "buy
motorcycle" can be triggered by capturing only the word
"motorcycle" and applying context about the document to further
interpret the captured word.
[0594] In some embodiments, the system may also generate keywords
in response to identifying documents based on a text capture, and
invoke actions based on the generated keywords. The system can then
associate advertising to the keywords, as described above with
respect to the captured keywords. Additional details regarding
these embodiments are described below.
[0595] The system is further described below in connection with the
accompanying drawings. FIG. 4 is a system diagram showing one
environment in which the system may operate. A user uses an optical
and/or acoustical capture device 302 to capture a sequence 401 from
a document 400. The capture device 302 interacts with a nearby user
computer system 212, such as via a wireless connection, e.g. an
IEEE 802.11, 802.16, WLAN, Bluetooth, or infrared connection.
Various devices may be connected to the user computer system 212,
including a visual display 421 and a renderer 422.
[0596] The capture device 302 passes the captured sequence to the
user computer system 212. The user computer system 212 transmits
the sequence via network 220 (e.g., the Internet or another
networks) to a keywords server computer system 440. In some
embodiments, the keyword server 440 is part of the service provider
or system operator's network. In some embodiments, the user
computer system 212 sends additional information with the sequence
that can be used by the system to select one of a number of
possible actions associated with a keyword contained by the
sequence, such as information identifying the user, information
that identifying the user's location, information indicating the
date and/or time of the capture, etc.
[0597] As is discussed below, the keyword server 440 compares the
sequence to a keyword action table 441 (e.g., a global markup
document) specifying particular actions for particular keywords. In
some embodiments, the keywords server 440 further uses a document
identification index 442 to identify the document based upon the
captured sequence. To the extent that the document can be
identified, the keywords server 440 accesses a document action map
443 (e.g., a electronic markup document associated with the
rendered document) for the identified document, which may identify
actions to be performed in response to capturing certain keywords
in the identified document, or in particular portions of the
identified document. The keywords server 440 may further store a
user profile 444 for the capture device user, that contains data
about the user that can be used by the system to select between
alternative actions that are available to perform for the keyword
contained by the sequence.
[0598] In some embodiments an action associated with a keyword is
comprised of a verb indicating the type of action to perform and an
object identifying content that is to be the object of the action.
In some cases, the object may contain the actual content, while in
others the object may contain an address of or a pointer to the
actual content. In some cases, the actual content is stored
elsewhere (e.g., at another memory location) on the keywords server
440, while in other cases, content 451 (e.g., advertising content)
is stored on a separate computer system 450 (such as an advertiser
server).
[0599] While various embodiments are described in terms of the
environment described above, those skilled in the art will
appreciate that the system may be implemented in a variety of other
environments including a single computer system, as well as various
other combinations of computer systems or similar devices connected
in various ways.
[0600] FIG. 5 is a flow diagram showing exemplary steps performed
by the system in order to perform an action in response to a user's
capturing of a keyword. In step 501, the system receives a sequence
captured by a user. In optional step 502, the system identifies a
document containing the captured sequence received in step 501, and
a position of the captured sequence in this document. In step 503,
the system identifies a word, phrase or symbol in the captured
sequence for which one or more actions are specified. Actions may
be specified in the keyword action table, in a document action map
for the identified document 400, or both. In step 504, the system
selects an action associated with the word, phrase or symbol
identified in step 503. In step 505, the system performs the
selected action. After step 505, the system continues in step 501
to receive the next captured sequence.
[0601] Those skilled in the art will appreciate that the steps
shown in FIG. 5 may be altered in a variety of ways. For example,
the order of the steps may be rearranged; sub-steps may be
performed in parallel; shown steps may be omitted, or other steps
may be included; etc.
[0602] FIG. 6 is a table diagram showing sample contents of the
keyword action table. The keyword action table 600 is made up of
rows--such as rows 601-605--each associating a particular action
with a particular keyword subject to certain conditions. Each row
is divided into the following columns: a keyword column 611
containing the keyword; a conditions column 612 containing any
conditions that must be satisfied in order to perform the row's
action in response to the capturing of the row's keyword; an action
verb column 613 containing the verb, or action type, of the row's
action; and an action object column 614 containing the object of
the row's action. For example, row 601 indicates that, when the
keyword "pipette" is captured from a document having document id
01239876, the following action may be performed: sending an e-mail
message from the capture device's user to the address
"info@garlabs.com". Row 602 indicates that, when the keyword
"pipette" is captured from a document having document id 012343210
or 9766789, the following action may be performed: displaying to
the user a hypertext link having the label "Try Filbert premium
pipettes" and the link source "http://www.filbert.com". Row 603
indicates that, when the keyword "pipette" is captured from a
document whose type is "textbook", the following action may be
performed: displaying the web page at
"http://www.equips.com/products.htm". Row 604 indicates that, when
the keyword "pipesmith" is captured between the times of 6 p.m. and
11 p.m. in ZIP codes between 06465 and 06469, the following action
may be performed: displaying to the user a hypertext link having
the label "Get a plumbing quote by 9 A tomorrow" and the link
source "http://www.webplumb.com". Row 605 indicates that, when the
keyword "pipesmith" is captured by a user whose user profile
indicates an interest in glassblowing, the following action may be
performed: displaying the web page at
"http://www.glassworkshop.com".
[0603] While FIG. 6 and each of the table diagrams discussed below
show a table whose contents and organization are designed to make
them more comprehensible by a human reader, those skilled in the
art will appreciate that actual data structures used by the system
to store this information may differ from the table shown, in that
they, for example, may be organized in a different manner; may
contain more or less information than shown; may be compressed
and/or encrypted; etc.
[0604] FIG. 7 is a table diagram showing sample contents of a
document action map for particular document. The document action
map is made up of rows--such as rows 701-703--each associating a
particular action with a particular keyword when captured in a
particular portion of the document. Each row is divided into the
following columns: a character range column 711 identifying a range
of character positions to which the row applies; a keyword column
712 containing the keyword; an action verb column 713 containing
the verb, or action type, of the row's action; and an action object
column 714 containing the object of the row's action. For example,
row 701 indicates that, if the keyword "pipette" is captured
anywhere in the character range 1-15120 in the document that is the
subject of the action map, the following action may be performed:
displaying to the user the string "SanLabs--for all of your pipette
needs". Row 702 indicates that, if the keyword "pipette" is
captured anywhere in the character range to 50-495 in the document
that is the subject of the action map, the following action may be
performed: displaying the web page at
"http://www.sanlabs.com/hardened_pipette20.htm". Row 703 indicates
that, if the keyword "litmus" is captured anywhere in the character
range 600-1700, the following action may be performed: printing on
a printer located near the user, such as a printer connected to the
user computer system 212, a brochure retrieved from
"http://www.hansen.com/testkit.pdf".
[0605] FIG. 8 is a flow diagram showing exemplary steps performed
by the system in order to perform an action in response to a user's
capturing material not related to a keyword, or as additional
processing in response to keywords as shown in FIG. 5 In step 801,
the system receives a sequence captured by a user. In optional step
802, the system identifies the document 400 containing the captured
sequence received in step 801, and a position of the captured
sequence in this document. In step 803, the system identifies
markup data or processes associated with the document 400, location
in the document, or the specific data scanned. Actions may be
specified in the digital counterpart of the rendered document, in a
separate markup document, in a database of markup data and
instructions. Markup data may be stored on the capture device 302,
in memory or storage on a nearby device, or on a server in the
system described. In step 804, the system selects actions
associated with the markup determined in step 803. In step 805, the
system performs the selected actions. After step 805, the system
continues in step 801 to receive the next captured sequence.
[0606] In some embodiments, the system generates keywords in
response to identifying documents based on a text capture, and
invokes actions based on the generated keywords. The system can
then associate advertising to the keywords. The system may handle
all keywords similarly, that is, the system may associate captured
keywords with certain actions and associate generated keywords with
the same or similar actions.
[0607] For example, the user may capture a short sequences of words
from a document that is unique to the document (and, thus, can be
used to identify the document) but does not indicate the theme or
subject of the document. In this example, the user captures the
phrase "I quickly followed suit, and descending . . . " from a
document. Using the captured phrase, the system identifies the
document as the novel "Moby Dick," by Herman Melville. An analysis
of the content of the document, "Moby Dick," may trigger
advertising related to the whaling industry, to other novels by
Herman Melville, and so on. Any possible keywords from the captured
sequence, "quickly," "followed," "suit," or "descending," would
unlikely lead to the system displaying relevant advertising
messages to the user.
[0608] Additionally, the system may determine that the captured
phrase is located in Chapter 5 of the book, entitled "Breakfast."
In these cases, advertising may be directed to that portion of the
book, and may include advertisements related to breakfast cereals,
places to have brunch in the user's vicinity, and so on. The system
is capable of determining advertisements based on various levels of
granularity relating to portions of documents. For example, the
portions may be as large as chapters of a book (or, as discussed
above, the whole book), or may be a sentence or two of a
passage.
[0609] Therefore, although the captured text is able to identify a
rendered document scanned by a user, the system may not need the
captured text to trigger an advertisement. Furthermore, although a
user has not captured any keywords that would invoke relevant
advertising messages, the system is able to provide dynamic
advertising that seeks to meet the needs or interests of the
user.
[0610] FIG. 9 is a flow diagram showing exemplary steps performed
by the system in order to present advertising in response to
identifying a document. In step 901, the system receives a sequence
captured by a user. In step 902, the system identifies the document
400 containing the captured sequence received in step 901, and a
position of the captured sequence in this document. In step 903,
the system identifies markup data or processes associated with the
document 400, the identified location in the document, or the
specific data scanned. Advertising may be specified in the digital
counterpart of the rendered document, in a separate markup
document, in a database of markup data and instructions. Markup
data may be stored on the capture device 302, in memory or storage
on a nearby device, or on a server in the system described.
[0611] In optional step 904, the system associated keywords with
the identified document, such as with the content of the identified
document. The associated keywords may be generated by the system,
or may already be associated with the identified document before
the document is identified or text is captured by the user.
[0612] The system may generate keywords for an identified document
in a number of ways. For example, the system may analyze the text
of the document and perform iterative processes to determine one or
more keywords for the document. The frequency (or lack of
frequency) of words may be considered. The system may also look to
metadata associated with the document. For example, the document
may already provide keywords within the metadata, or may provide
references related to the document. Additionally, the system may
perform inverse document frequency analysis, lexical and semantic
analysis, and/or document summarization techniques when analyzing
content of a document.
[0613] Additionally, the system may analyze other captured
sequences that have identified the document, and extract keywords
from the previous sequences. The system may utilize any number of
techniques in generating and/or associated keywords with identified
documents.
[0614] In step 905, the system selects advertising associated with
the markup determined in step 903. This may include using context
select advertising. Examples of context include the type of the
rendered document (such as the rendered document being a novel, an
article, a questionnaire, and so on), the source of the rendered
document (such as the rendered document being from a newspaper,
magazine, schoolbook, displayed webpage, and so on). Other types of
context may include attributes of a user, such as the identity of
the user, the location of the user, a group of people of which the
user is a member, and so on.
[0615] In step 906, the system presents the selected advertising.
In some embodiments, the system presents advertising within the
identified document. In delivering electronic counterparts of
rendered documents from which a user captures text, the system may
additionally add one or more advertisements to the electronic
versions. The advertising may be unique to the rendered document,
unique to each delivered electronic version, and/or unique to a
user. For example, a user in England may capture text from an
article entitled "World Cup 2006 Highlights" and a user in the
United States may capture text from the same article. The system
may deliver an electronic version of the article to the user in
England with advertisements related to the English soccer team
(such as an advertisement for a soccer shop in London), while the
user in the United States may receive an electronic version
containing advertisements related to the United States team (such
as an advertisement for an online shop selling jerseys). In these
cases, the system is able to provide different advertising within
different copies of the same electronic document.
[0616] In some embodiments, the system presents advertising to a
user on the user's scanner, on a display device nearby, on the
user's cell phone, and so on. The system may present the
advertising contemporaneously with the scanning. For example, using
the example above, the user in England may receive an advertisement
for the soccer shop on his/her computer while capturing text from
the "World Cup 2006 Highlights" article.
[0617] Alternatively, the system may send email or other messages
containing relevant advertising to the user (such as to the user's
email address). The system may present advertising to a user in
many other ways as discussed herein.
[0618] After step 906, the system continues in step 901 to receive
the next captured sequence.
[0619] In some embodiments, the system may invoke some or all of
the steps of routine 900, and determine keywords associated with
the document in order to present advertising related to the text
capture, when it determines that the text capture contains zero
words associated with advertising actions.
[0620] Some embodiments incorporate a method in a computing system
for processing text captured from a rendered document. In such
embodiments, the system receives a sequence of one or more words
optically or acoustically captured from a rendered document by a
user. The system identifies among the words of the sequence a word
or phrase with which an action has been associated. The system
performs the associated action with respect to the user.
[0621] Some embodiments incorporate a system for spotting keywords
in text captured from a rendered document. In such environments,
the system includes a hand-held optical and/or acoustical capture
device 302 usable by a user to capture a sequence of one or more
words from a rendered document. The system further includes a
processor that identifies among the words of the sequence captured
with the hand-held optical and/or acoustical capture device 302 a
word with which an action has been associated, and that performs
the associated action with respect to the user.
[0622] Some embodiments incorporate one or more computer memories
storing data structures that map keywords to actions. In some
embodiments, the data structure comprises, for each of a plurality
of keywords that may be captured from rendered documents using a
hand-held optical and/or acoustical capture device 302, an entry
containing information specifying an action to be performed with
respect to this keyword.
[0623] Some embodiments incorporate a system for associated
advertising with electronic counterparts of rendered documents. In
such embodiments, the system identifies an electronic counterpart,
optionally generates keywords associated with the electronic
counterpart, and presents advertising relevant to the electronic
counterpart or optionally generated keywords.
[0624] Some embodiments incorporate a system for spotting keywords
on a rendered document display to the user. In such environments,
the system includes a hand-held optical and/or acoustical capture
device 302 usable by a user to capture a sequence of one or more
words from the rendered document via the display. Alternatively,
the user may capture displayed keywords using a cursor or other
displayed icon manipulated on the display by the user, such as with
a mouse or other pointing device, or with a keyboard. The system
further includes a processor that identifies among the words of the
sequence captured a keyword with which an action has been
associated, and that performs the associated action with respect to
the user.
[0625] For example, the system may include a presentation-layer
capture client that displays content to a user on a web page, in a
word processing document, in a .PDF document, as an image, or in
other graphical or textual form. Rather than attempt to design an
interface to each of these content formats, in some embodiments the
system relies upon a capture of the display depicting the content
and a conversion of the captured image into text using optical
character recognition (OCR) technology. Specifically, all or
portions of a screen buffer of the viewing device used by the user
are captured by the system. The contents of the screen buffer are
provided to an OCR component which processes the captured image and
generates the corresponding text of any characters that are
contained in the image. The system automatically maps any content
related to advertising or other actions to the OCR text identified
by the system. In this fashion, the system is able to provide
advertisements and other actions based on displayed content,
regardless of the format of the content.
[0626] In some embodiments, a presentation-layer display client is
provided to allow advertising messages to be overlaid on any
content regardless of format. When a user views content on a
viewing device, all or portions of the screen buffer of the viewing
device are captured by the system. The contents of the screen
buffer are provided to an OCR component which processes the
captured image and generates the corresponding text of any
characters that are contained in the image. The system identifies
one or more text fragments in the captured text, and transmits a
representation of the text fragments to the content server. The
system compares the received text fragments with the stored text
segments, and identifies any stored text segments that match the
received text fragments. Advertisements corresponding to the
matched text fragments are identified by the facility and
transmitted to the display client. The display client determines
the appropriate location of the advertisements based on the
location of the matched text fragments, and displays the
advertisements in a semi-transparent layer that is superimposed
over the content that the user is viewing. In this fashion,
advertisements may be displayed to a user on any content regardless
of the format of the content being viewed.
[0627] Thus, some embodiments incorporate a system that presents
advertising in response to capturing images from rendered documents
displayed to a user via a display device. In some cases, the
displayed rendered documents are identified and presented to the
users as discussed with respect to some or all steps of FIG. 9.
[0628] The system may receive a text fragment captured by a user
from a printed version of a rendered document, identify an
electronic version of the rendered document, and present the
rendered document to the user via a display device associated with
the user. The system may present the rendered document as discussed
above, capture at least a portion of the display (such as a portion
highlighted or selected by the user with a cursor) convert the
captured image into text using the optical character recognition
(OCR) technology described herein, and match some or all of the
text from the captured image with actions, such as advertisements
to be displayed to the user.
[0629] Thus, the system provides an environment where a user
indicates use of a certain rendered document and the system
facilitates the presentation of advertisements and/or the
performance of actions independent of whether the user continues to
interact with a printed version of the rendered document or a
displayed version of the rendered document. The system is able to
receive user selections from presented versions (printed or
digital) of the rendered document and provide a rich variety of
interactive functions to the user.
[0630] For example, the system presents, via a display associated
with the user, an electronic version of a newspaper article related
to string theory to a user. In some cases, the user may also
possess the printed version of the newspaper article, where a
capture of a text sequence from the printed version of the
newspaper prompted the system to display the electronic version to
the user. In this example, the user continues to read the article
via the electronic version, and no longer captures text from the
printed version. At times, the user selects words or phrases of
interest using a cursor within the electronic version (e.g., the
user selects the phrase "researchers at Princeton University").
[0631] Upon receiving the selection, the system may receive an
image of the captured phrase, perform OCR on the image to extract
one or more text sequences, and identify advertisements associated
with the one or more text sequences. In this example, the system
determines that the captured image contains the keywords
"researchers" and "Princeton University" and presents
advertisements to the user that relate to books published by
Princeton and online courses and seminars taught by Princeton.
Thus, the system continues to provide targeted, keyword and/or
location based advertisements to the user although the user no
longer interacts with a printed version of the document.
CONCLUSION
[0632] It will be appreciated by those skilled in the art that the
above-described system may be straightforwardly adapted or extended
in various ways. For example, the system may be used in connection
with a wide variety of hardware, documents, action types, and
storage and processing schemes. While the foregoing description
makes reference to various embodiments, the scope of the invention
is defined solely by the claims that follow and the elements
recited therein.
* * * * *
References