U.S. patent application number 13/030822 was filed with the patent office on 2011-06-16 for video evaluation device, frame rate determination device, video process device, video evaluation method, and video evaluation program.
This patent application is currently assigned to NTT DoCoMo, Inc.. Invention is credited to Choog Seng Boon, Tsutomu Horikoshi, Sadaatsu Kato.
Application Number | 20110141372 13/030822 |
Document ID | / |
Family ID | 35500550 |
Filed Date | 2011-06-16 |
United States Patent
Application |
20110141372 |
Kind Code |
A1 |
Kato; Sadaatsu ; et
al. |
June 16, 2011 |
VIDEO EVALUATION DEVICE, FRAME RATE DETERMINATION DEVICE, VIDEO
PROCESS DEVICE, VIDEO EVALUATION METHOD, AND VIDEO EVALUATION
PROGRAM
Abstract
A frame rate is determined in accordance with the smoothness in
movement of a video. An amount of change detection section extracts
an amount of change based on a plurality of frame pictures included
in an input video signal input as a moving picture signal from the
outside and outputs an amount of change to an evaluation value
calculation section. The evaluation value calculation section
computes an amount of change in time between each of the frame
pictures based on the amount of change and the time interval
between frame pictures based on frame rate information and
evaluates an evaluation value for evaluating the smoothness in
movement of an input video based on the amount of change in time.
The evaluation value is output to the outside as a factor for
determining a frame rate.
Inventors: |
Kato; Sadaatsu;
(Yokosuka-shi, JP) ; Boon; Choog Seng;
(Yokohama-shi, JP) ; Horikoshi; Tsutomu;
(Kamakura-shi, JP) |
Assignee: |
NTT DoCoMo, Inc.
Tokyo
JP
|
Family ID: |
35500550 |
Appl. No.: |
13/030822 |
Filed: |
February 18, 2011 |
Related U.S. Patent Documents
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Application
Number |
Filing Date |
Patent Number |
|
|
11226317 |
Sep 15, 2005 |
7912298 |
|
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13030822 |
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Current U.S.
Class: |
348/700 ;
348/E5.067 |
Current CPC
Class: |
H04N 19/587 20141101;
H04N 19/132 20141101; H04N 19/139 20141101 |
Class at
Publication: |
348/700 ;
348/E05.067 |
International
Class: |
H04N 5/14 20060101
H04N005/14 |
Foreign Application Data
Date |
Code |
Application Number |
Sep 16, 2004 |
JP |
P2004-270123 |
Aug 8, 2005 |
JP |
P2005-229618 |
Claims
1. A video evaluation device comprising: an amount of change
detection section configured to detect, based on a plurality of
frame pictures included in an input video signal, an amount of
change that indicates the degree of change between each of the
frame pictures; and an evaluation value calculation section
configured to calculate an evaluation value relating to the
smoothness in movement of the input video signal based on the
amount of change and the time interval between each of the frame
pictures and outputting the evaluation value to the outside,
wherein the evaluation value calculation section computes an amount
of change in time in accordance with the amount of change and the
time interval between each of the frame pictures based on the
amount of change and the time interval between each of the frame
pictures and calculates the evaluation value using the amount of
change in time, the amount of change is a value based on a
difference in luminance value between pixels located at the same
coordinates in the successive frame pictures, and the amount of
change in time is computed based on the amount of change and a
frame rate.
2. A video evaluation device comprising: an amount of change
detection section configured to detect, based on a plurality of
frame pictures included in an input video signal, an amount of
change that indicates the degree of change between each of the
frame pictures; and an evaluation value calculation section
configured to calculate an evaluation value relating to the
smoothness in movement of the input video signal based on the
amount of change and the time interval between each of the frame
pictures and outputting the evaluation value to the outside wherein
the evaluation value calculation section computes an amount of
change in time in accordance with the amount of change and the time
interval between each of the frame pictures based on the amount of
change and the time interval between each of the frame pictures and
calculates the evaluation value using the amount of change in time,
the amount of change is a value based on a movement vector between
the successive frame pictures, and the amount of change in time is
computed based on the amount of change and a frame rate.
3. The video evaluation device according to claim 1, further
comprising a feature value calculation section configured to
calculate a movement feature value that indicates the feature of
movement of the input video signal based on the amount of change,
wherein the evaluation value calculation section calculates the
evaluation value based on the movement feature value and the time
interval between each of the frame pictures.
4. The video evaluation device according to claim 3, wherein the
evaluation value calculation section computes an amount of change
in time in accordance with the amount of change and the time
interval between each of the frame pictures based on the movement
feature value and the time interval between each of the frame
pictures and calculates the evaluation value using the amount of
change in time.
5. The video evaluation device according to claim 3, wherein: the
amount of change is a movement vector between each of the frame
pictures; and the movement feature value is a value calculated
based on the magnitude of the movement vector.
6. A frame rate determination device comprising: a frame rate
generation section configured to generate a first frame rate; an
amount of change detection section configured to detect, based on a
plurality of frame pictures included in an input video signal, an
amount of change that indicates the degree of change between each
of the frame pictures; an evaluation value calculation section
configured to calculate an evaluation value relating to the
smoothness in movement of the input video signal based on the
amount of change and the time interval between frame pictures in
accordance with the first frame rate; and a frame rate
determination section configured to determine a second frame rate
for carrying out the process of the input video signal using the
evaluation value and outputting it to the outside, wherein the
evaluation value calculation section computes an amount of change
in time in accordance with the amount of change and the time
interval between each of the frame pictures based on the amount of
change and the time interval between each of the frame pictures and
calculates the evaluation value using the amount of change in time,
the amount of change is a value based on a difference in luminance
value between pixels located at the same coordinates in the
successive frame pictures, and the amount of change in time is
computed based on the amount of change and the first frame
rate.
7. The frame rate determination device according to claim 6,
wherein the frame rate determination section compares the
evaluation value with a predetermined set value and sets the second
frame rate smaller than the first frame rate if the evaluation
value is greater than the predetermined set value, and sets the
second frame rate greater than the first frame rate when the
evaluation value is smaller than the predetermined set value.
8. A video process device comprising: a buffer section configured
to store an input video signal; a frame rate generation section
configured to generate a first frame rate; an amount of change
detection section configured to detect, based on a plurality of
frame pictures included in the input video signal, an amount of
change that indicates the degree of change between each of the
frame pictures; an evaluation value calculation section configured
to calculate an evaluation value relating to the smoothness in
movement of the input video signal based on the amount of change
and the time interval between frame pictures in accordance with the
first frame rate; a frame rate determination section configured to
determine a second frame rate for carrying out the process of the
input video signal using the evaluation value; and a video process
section configured to read the input video signal stored in the
buffer section using the second frame rate and carrying out the
video process, wherein the evaluation value calculation section
computes an amount of change in time in accordance with the amount
of change and the time interval between each of the frame pictures
based on the amount of change and the time interval between each of
the frame pictures and calculates the evaluation value using the
amount of change in time, the amount of change is a value based on
a difference in luminance value between pixels located at the same
coordinates in the successive frame pictures, and the amount of
change in time is computed based on the amount of change and the
first frame rate.
9. A video evaluation method comprising: an amount of change
detection step for detecting, based on a plurality of frame
pictures included in an input video signal, an amount of change
that indicates the degree of change between each of the frame
pictures; and. an evaluation value calculation step for calculating
an evaluation value relating to the smoothness in movement of the
input video signal based on the amount of change and the time
interval between each of the frame pictures and outputting it to
the outside, wherein the evaluation value calculation step computes
an amount of change in time in accordance with the amount of change
and the time interval between each of the frame pictures based on
the amount of change and the time interval between each of the
frame pictures and calculates the evaluation value using the amount
of change in time, the amount of change is a value based on a
difference in luminance value between pixels located at the same
coordinates in the successive frame pictures, and the amount of
change in time is computed based on the amount of change and a
frame rate.
10. A non-transitory computer-readable medium including computer
program instructions, which when executed by a computer, cause the
computer to perform a video evaluation method comprising:
detecting, based on a plurality of frame pictures included in an
input video signal, an amount of change that indicates the degree
of change between each of the frame pictures; and calculating an
evaluation value relating to the smoothness in movement of the
input video signal based on the amount of change and the time
interval between each of the frame pictures and outputting it to
the outside, wherein the step for calculating the evaluation value
computes an amount of change in time in accordance with the amount
of change and the time interval between each of the frame pictures
based on the amount of change and the time interval between each of
the frame pictures and calculates the evaluation value using the
amount of change in time, the amount of change is a value based on
a movement vector between the successive frame pictures, and the
amount of change in time is computed based on the amount of change
and a frame rate.
11. The video evaluation device according to claim 2, further
comprising a feature value calculation section configured to
calculate a movement feature value that indicates the feature of
movement of the input video signal based on the amount of change,
wherein the evaluation value calculation section calculates the
evaluation value based on the movement feature value and the time
interval between each of the frame pictures.
12. The video evaluation device according to claim 11, wherein the
evaluation value calculation section computes an amount of change
in time in accordance with the amount of change and the time
interval between each of the frame pictures based on the movement
feature value and the time interval between each of the frame
pictures and calculates the evaluation value using the amount of
change in time.
13. The video evaluation device according to claim 4, wherein: the
amount of change is a movement vector between each of the frame
pictures; and the movement feature value is a value calculated
based on the magnitude of the movement vector.
14. The video evaluation device according to claim 11, wherein: the
amount of change is a movement vector between each of the frame
pictures; and the movement feature value is a value calculated
based on the magnitude of the movement vector.
15. The video evaluation device according to claim 12, wherein: the
amount of change is a movement vector between each of the frame
pictures; and the movement feature value is a value calculated
based on the magnitude of the movement vector.
Description
CROSS-REFERENCE TO RELATED APPLICATIONS
[0001] This application is a continuation of and is based upon and
claims the benefit of priority under 35 U.S.C. .sctn.120 for U.S.
Ser. No. 11/226,317, filed Sep. 15, 2005, the entire contents of
which are incorporated herein by reference and which claims the
benefit of priority under 35 U.S.C. .sctn.119 from Japanese Patent
Application No. 2005-229618, filed Aug. 8, 2005 and Japanese Patent
Application No. 2004-270123, filed Sep. 16, 2004.
BACKGROUND OF THE INVENTION
[0002] 1. Field of the Invention
[0003] The present invention relates to video evaluation device,
frame rate determination device, video process device, a video
evaluation method, and a video evaluation program.
[0004] 2. Related Background of the Invention
[0005] In a video process including acquisition, storing,
transmission, displaying, encoding, decoding, etc. of a video, in
general, the process is carried out on the basis of a fixed frame
rate. Here, the frame rate is the number of frames processed per
second. The fixed frame rate is the frame rate at which the number
of frames processed per second is constant. As a concrete example
of the fixed frame rate is defined as 29.97 fps (frame per second)
according to, for example, National Television Standards Committee
(NTSC) standards adopted in the United States and Japan.
Alternatively, it is defined as 25 fps according to Phase
Alternating Line (PAL) standards of National Television Standards
Committee adopted in Europe. Further, the fixed frame rate of 15
fps or 24 fps may be used. A "video" is composed of successive
"frame pictures", which are individual still pictures.
[0006] When a video process is carried out at a fixed frame rate,
if the frame rate is increased, the time intervals between
successive frames become shorter. Due to this, it becomes possible
to process a video smoother in movement. For example, a video to be
processed at a frame rate of 30 fps has the number of frames per
unit time larger than that of a video to be processed at a frame
rate of 15 fps, therefore, the movement of the video is represented
in a finer manner and a smoother movement is represented as a
whole.
[0007] In addition to the video process at the above-mentioned
fixed frame rate, a video process at a variable frame rate is also
carried out. In the video process at a variable frame rate, the
frame rate is varied in accordance with the amount of process of a
video and the amount of data. For example, when a video is encoded,
if it is judged that the amount of data to be encoded is large, the
frame rate is reduced and the number of frames to be encoded per
unit time is reduced. This is because if the amount of data
increases, the time required for video process is increased. Here,
at a variable frame rate, if the time interval between successive
frame pictures is assumed to be T, the frame rate between two frame
pictures is 1/T.
[0008] A technique to change such a frame rate is disclosed in, for
example, Patent document 1 (Japanese Patent Application Laid-open
No. Hei 11-112940).
SUMMARY OF THE INVENTION
[0009] By the way, when a video is processed at a fixed frame rate,
if the frame rate is increased in order to realize a smooth
movement, the amount of process, the amount of data, and the power
consumption accompanying the video process increase. This is
explained specifically. For example, when a video is acquired, if
the number of frames to be acquired per unit time increases, the
amount of process and the power consumption accompanying the
process increase. Further, when a video is stored, the amount of
data increases because the number of frames to be stored per unit
time increases.
[0010] On the other hand, if the frame rate is reduced in order to
reduce the amount of process, the amount of data, and the power
consumption accompanying the process of a video, the smoothness in
movement of a video is degraded, resulting in a video with unsmooth
movement.
[0011] When a video is processed at a variable frame rate, if the
frame rate is changed in accordance with only the amount of process
and the amount of data of the video, the smoothness in movement of
the video is degraded, resulting in a video with unsmooth
movement.
[0012] As described above, if the frame rate is changed without
taking into consideration the feature of movement of a video, there
arises a problem that the amount of process, the amount of data,
and the power consumption are required more than necessary and that
a video with unsmooth movement results.
[0013] In order to solve the above-mentioned problem, an object of
the present invention is to provide video evaluation device, frame
rate determination device, video process device, a video evaluation
method, a frame rate determination method, a video process method,
a video evaluation program, a frame rate determination program, and
a video process program for determining a frame rate in accordance
with the smoothness in movement of a video.
[0014] The video evaluation device of the present invention is
characterized by comprising an amount of change detection means for
detecting an amount of change that indicates the degree of change
between each frame picture based on a plurality of frame pictures
included in an input video signal and an evaluation value
calculation means for calculating an evaluation value relating to
the smoothness in movement of an input video signal based on the
amount of change and the time interval between each frame picture
and outputting it to the outside.
[0015] The video evaluation method of the present invention is
characterized by comprising an amount of change detection step for
detecting an amount of change that indicates the degree of change
between each frame picture based on a plurality of frame pictures
included in an input video signal and an evaluation value
calculation step for calculating an evaluation value relating to
the smoothness in movement of an input video signal based on the
amount of change and the time interval between each frame picture
and outputting it to the outside.
[0016] Further, the video evaluation program of the present
invention is characterized by causing a computer to function as an
amount of change detection means for detecting an amount of change
that indicates the degree of change between each frame picture
based on a plurality of frame pictures included in an input video
signal and as an evaluation value calculation means for calculating
an evaluation value relating to the smoothness in movement of an
input video signal based on the amount of change and the time
interval between each frame picture and outputting it to the
outside.
[0017] According to the invention described above, the amount of
change is detected based on the plurality of frame pictures
included in the input video signal and the evaluation value for
evaluating the smoothness in movement of the input video signal is
calculated based on the amount of change and the time interval
between each frame picture. Therefore, it is possible to evaluate
the smoothness in movement of a video at a frame rate during the
period of video process in accordance with the amount of change of
the input video signal input at a predetermined frame rate.
Further, since the evaluation value obtained by the evaluation is
output to the outside, it becomes possible to determine a frame
rate based on the evaluation value. In other words, it is possible
to determine a frame rate in accordance with the smoothness in
movement of a video.
[0018] In the video evaluation device of the present invention, it
is preferable for the above-mentioned evaluation value calculation
means to compute the amount of change in time in accordance with
the amount of change and the time interval between each frame
picture based on the amount of change and the time interval between
each frame picture and calculate an evaluation value using the
amount of change in time. With this, it is possible to calculate an
evaluation value that takes into consideration the amount of change
in time computed in accordance with the amount of change and the
time interval calculated between each frame picture.
[0019] In the video evaluation device of the present invention, it
is preferable for the above-mentioned amount of change to be a
value based on the difference in luminance value between each frame
picture, or a movement vector between each frame picture. With
this, it is possible to calculate an evaluation value based on the
difference in luminance value between each frame picture or the
movement vector between each frame picture.
[0020] In the video evaluation device of the present invention, it
is preferable to further comprise a feature value calculation means
for calculating a movement feature value that indicates the feature
of movement of an input video signal based on the above-mentioned
amount of change, and for the above-mentioned evaluation value
calculation means to calculate an evaluation value based on the
movement feature value and the time interval between each frame
picture. With this, it is possible to calculate an evaluation value
that takes into consideration the movement feature value that
indicates the feature of the movement of the input video
signal.
[0021] In the video evaluation device of the present invention, it
is preferable for the above-mentioned evaluation value calculation
means to compute the amount of change in time in accordance with
the amount of change and the time interval between each frame
picture based on the movement feature value and the time interval
between each frame picture and calculate an evaluation value using
the amount of change in time. With this, it is possible to
calculate an evaluation value that takes into consideration the
amount of change in time in accordance with the amount of change
and the time interval between each frame picture.
[0022] In the video evaluation device of the present invention, it
is preferable for the above-mentioned amount of change to be a
movement vector between each frame picture and for the
above-mentioned movement feature value to be a value calculated
based on the magnitude of the movement vector. With this, it is
possible to calculate an evaluation value based on the magnitude of
the movement vector between each frame.
[0023] The frame rate determination device of the present invention
is characterized by comprising a frame rate generation means for
generating a first frame rate, an amount of change detection means
for detecting an amount of change that indicates the degree of
change between each frame picture based on a plurality of frame
pictures included in an input video signal, an evaluation value
calculation means for calculating an evaluation value relating to
the smoothness in movement of an input video signal based on the
amount of change and the time interval between each frame picture
corresponding to the first frame rate, and a frame rate
determination means for determining a second frame rate for
carrying out the process of an input video signal using the
evaluation value and outputting it to the outside.
[0024] The frame rate determination method of the present invention
is characterized by comprising a frame rate generation step for
generating a first frame rate, an amount of change detection step
for detecting an amount of change that indicates the degree of
change between each frame picture based on a plurality of frame
pictures included in an input video signal, an evaluation value
calculation step for calculating an evaluation value relating to
the smoothness in movement of an input video signal based on the
amount of change and the time interval between each frame picture
corresponding to the first frame rate, and a frame rate
determination step for determining a second frame rate for carrying
out the process of an input video signal using the evaluation value
and outputting it to the outside.
[0025] Further, the frame rate determination program of the present
invention is characterized by causing a computer to function as a
frame rate generation means for generating a first frame rate, an
amount of change detection means for detecting an amount of change
that indicates the degree of change between each frame picture
based on a plurality of frame pictures included in an input video
signal, an evaluation value calculation means for calculating an
evaluation value relating to the smoothness in movement of an input
video signal based on the amount of change and the time interval
between each frame picture corresponding to the first frame rate,
and a frame rate determination means for determining a second frame
rate for carrying out the process of an input video signal using
the evaluation value and outputting it to the outside.
[0026] According to the present invention described above, the
amount of change is detected based on the plurality of frame
pictures included in the input video signal, the evaluation value
for evaluating the smoothness in movement of the input video signal
is calculated based on the amount of change and the time interval
between each frame picture corresponding to the first frame rate,
and the second frame rate for carrying out the process of the input
video signal is determined using the evaluation value. In other
words, in accordance with the amount of change of the input video
signal input according to the first frame rate, the smoothness in
movement of the video at the first frame rate is evaluated and at
the same time, the second frame rate is determined using the
evaluation. Therefore, it is possible to read the input video
signal at the second frame rate determined in accordance with the
evaluation of the smoothness in movement of the video. In other
words, it is possible to determine a frame rate of an input video
signal in accordance with the smoothness in movement of a video and
at the same time, to read the input video signal while maintaining
the smoothness in movement of the video.
[0027] In the frame rate determination device of the present
invention, it is preferable for the above-mentioned frame rate
determination means to set the second frame rate smaller than the
first frame rate when the evaluation value is greater than a
predetermined set value and to set the second frame rate greater
than the first frame rate when the evaluation value is smaller than
the predetermined set value by comparing the evaluation value with
the predetermined set value. With this, it is possible to determine
the second frame rate that is considered such that the evaluation
value for evaluating the smoothness in movement of a video falls
within a predetermined evaluation criterion range. In other words,
it is possible to read the input video signal while keeping the
smoothness in movement of a video within a predetermined criterion
range.
[0028] The video process device of the present invention is
characterized by comprising a buffer means for storing an input
video signal, a frame rate generation means for generating a first
frame rate, an amount of change detection means for detecting an
amount of change that indicates the degree of change between each
frame picture based on a plurality of frame pictures included in
the input video signal, an evaluation value calculation means for
calculating an evaluation value relating to the smoothness in
movement of an input video signal based on the amount of change and
the time interval between each frame picture corresponding to the
first frame rate, a frame rate determination means for determining
a second frame rate for carrying out the process of an input video
signal using the evaluation value, and a video process means for
reading the input video signal stored in the buffer means using the
second frame rate and carrying out the video process.
[0029] The video process method of the present invention is
characterized by comprising a buffer step for storing an input
video signal, a frame rate generation step for generating a first
frame rate, an amount of change detection step for detecting an
amount of change that indicates the degree of change between each
frame picture based on a plurality of frame pictures included in
the input video signal, an evaluation value calculation step for
calculating an evaluation value relating to the smoothness in
movement of an input video signal based on the amount of change and
the time interval between each frame picture corresponding to the
first frame rate, a frame rate determination step for determining a
second frame rate for carrying out the process of an input video
signal using the evaluation value, and a video process step for
reading the input video signal stored in the buffer means using the
second frame rate and carrying out the video process.
[0030] Further, the video process program of the present invention
is characterized by causing a computer to function as a buffer
means for storing an input video signal, a frame rate generation
means for generating a first frame rate, an amount of change
detection means for detecting an amount of change that indicates
the degree of change between each frame picture based on a
plurality of frame pictures included in the input video signal, an
evaluation value calculation means for calculating an evaluation
value relating to the smoothness in movement of an input video
signal based on the amount of change and the time interval between
each frame picture corresponding to the first frame rate, a frame
rate determination means for determining a second frame rate for
carrying out the process of an input video signal using the
evaluation value, and a video process means for reading the input
video signal stored in the buffer means using the second frame rate
and carrying out the video process.
[0031] According to the present invention described above, the
amount of change is detected based on the plurality of frame
pictures included in the input video signal, the evaluation value
for evaluating the smoothness in movement of the input video signal
is calculated based on the amount of change and the time interval
between each frame picture corresponding to the first frame rate,
and the second frame rate for carrying out the process of the input
video signal is determined using the evaluation value. Further, the
video process of the input video signal is carried out using the
second frame rate. In other words, in accordance with the amount of
change of the input video signal input according to the first frame
rate, the smoothness in movement of the video at the first frame
rate is evaluated and at the same time, the second frame rate is
determined using the evaluation. Further, the video process of the
input video signal is carried out using the second frame rate
determined based on the evaluation value for the input video
signal. Therefore, it is possible to carry out the video process of
the input video signal based on the second frame rate determined in
accordance with the evaluation of the smoothness in movement. In
other words, it is possible to determine a frame rate in accordance
with the smoothness in movement of a video and at the same time, to
carry out the video process of an input video signal while
maintaining the smoothness in movement of the video.
[0032] [Other aspects] The video evaluation device of the present
invention is characterized by comprising an amount of displacement
detection means for detecting an amount of displacement in movement
that indicates the degree of displacement of an input video signal
based on a plurality of frame pictures included in the input video
signal and an evaluation value calculation means for calculating
and outputting an evaluation value for evaluating the smoothness in
movement of the input video signal based on the amount of
displacement in movement and the frame rate of the input video
signal.
[0033] The video evaluation method of the present invention is
characterized by comprising an amount of displacement in movement
detection step for detecting an amount of displacement in movement
that indicates the degree of displacement of an input video signal
based on a plurality of frame pictures included in the input video
signal and an evaluation value calculation step for calculating and
outputting an evaluation value for evaluating the smoothness in
movement of the input video signal based on the amount of
displacement in movement and the frame rate of the input video
signal.
[0034] Further, the video evaluation program of the present
invention is characterized by causing a computer to function as an
amount of displacement detection means for detecting an amount of
displacement in movement that indicates the degree of displacement
of an input video signal based on a plurality of frame pictures
included in the input video signal and an evaluation value
calculation means for calculating an evaluation value for
evaluating the smoothness in movement of the input video signal
based on the amount of displacement in movement and the frame rate
of the input video signal and outputting it to the outside.
[0035] According to the invention described above, the amount of
displacement in movement is detected based on the plurality of
frame pictures included in the input video signal and the
evaluation value for evaluating the smoothness in movement of the
input video signal is calculated based on the amount of
displacement in movement and the frame rate of the input video
signal. Therefore, it is possible to evaluate the smoothness in
movement of a video at a frame rate during the period of video
process in accordance with the amount of displacement in movement
of the input video signal input at a predetermined frame rate.
Further, since the evaluation value obtained by the evaluation is
output to the outside, it becomes possible to determine a frame
rate based on the evaluation value. In other words, it is possible
to determine a frame rate in accordance with the smoothness in
movement of a video.
[0036] In the video evaluation device of the present invention, it
is preferable to further comprise a feature value calculation means
for calculating a movement feature value that indicates the feature
of movement of an input video signal based on the above-mentioned
amount of displacement in movement, and for the above-mentioned
evaluation value calculation means to calculate an evaluation value
based on the movement feature value and the frame rate of the input
video signal. With this, it is possible to calculate an evaluation
value that takes into consideration the movement feature value that
indicates the feature of the movement of the input video
signal.
[0037] In the video evaluation device of the present invention, it
is preferable for the above-mentioned evaluation value calculation
means to compute an amount of movement that indicates the degree of
movement between each frame based on the amount of displacement in
movement and the frame rate of the input video signal and to
calculate an evaluation value using the amount of movement.
Further, it is preferable for the above-mentioned evaluation value
calculation means to compute an amount of movement that indicates
the degree of movement between each frame based on the movement
feature value and the frame rate of the input video signal and to
calculate an evaluation value using the amount of movement. With
this, it is possible to calculate an evaluation value that takes
into consideration the amount of movement that indicates the degree
of movement between each frame.
[0038] In the video evaluation device of the present invention, it
is preferable for the above-mentioned amount of displacement in
movement to be a movement vector and for the above-mentioned
feature value to be a value calculated based on the magnitude of
the movement vector. With this, it is possible to calculate an
evaluation value based on the magnitude of the movement vector
between each frame.
[0039] The frame rate determination device of the present invention
is characterized by comprising a frame rate generation means for
generating a first frame rate, an amount of displacement detection
means for detecting an amount of displacement in movement that
indicates the degree of displacement of an input video signal, an
evaluation value calculation means for calculating an evaluation
value for evaluating the smoothness in movement of an input video
signal based on the amount of displacement in movement and the
first frame rate, and a frame rate determination means for
determining a second frame rate for carrying out the process of an
input video signal using the evaluation value and outputting it to
the outside.
[0040] According to the present invention, the amount of
displacement in movement is detected based on the plurality of
frame pictures included in the input video signal, the evaluation
value for evaluating the smoothness in movement of the input video
signal is calculated based on the amount of displacement in
movement and the first frame rate, and the second frame rate for
carrying out the process of the input video signal is determined
using the evaluation value. In other words, in accordance with the
amount of displacement in movement of the input video signal input
according to the first frame rate, the smoothness in movement of
the video at the first frame rate is evaluated and at the same
time, the second frame rate is determined using the evaluation.
Therefore, it is possible to read the input video signal at the
second frame rate determined in accordance with the evaluation of
the smoothness in movement of the video. In other words, it is
possible to determine a frame rate of an input video signal in
accordance with the smoothness in movement of the video and at the
same time, to read an input video signal while maintaining the
smoothness in movement of the video.
[0041] In the frame rate determination device of the present
invention, it is preferable for the above-mentioned frame rate
determination means to set the second frame rate smaller than the
first frame rate when the evaluation value is greater than a
predetermined set value and to set the second frame rate greater
than the first frame rate when the evaluation value is smaller than
the predetermined set value by comparing the evaluation value with
the predetermined set value. With this, it is possible to determine
the second frame rate that is considered such that the evaluation
value for evaluating the smoothness in movement of a video falls
within a predetermined evaluation criterion range. In other words,
it is possible to read the input video signal while keeping the
smoothness in movement of a video within a predetermined criterion
range.
[0042] The video process device of the present invention is
characterized by comprising a buffer means for storing an input
video signal, a frame rate generation means for generating a first
frame rate, an amount of displacement detection means for detecting
an amount of displacement in movement that indicates the degree of
movement of an input video signal based on a plurality of frame
pictures included in the input video signal, an evaluation value
calculation means for calculating an evaluation value for
evaluating the smoothness in movement of an input video signal
based on the amount of displacement in movement and the first frame
rate, a frame rate determination means for determining a second
frame rate for carrying out the process of an input video signal
using the evaluation value, and a video process means for reading
the input video signal stored in the buffer means using the second
frame rate and carrying out the video process.
[0043] According to the present invention, the amount of
displacement in movement is detected based on the plurality of
frame pictures included in the input video signal, the evaluation
value for evaluating the smoothness in movement of the input video
signal is calculated based on the amount of displacement in
movement and the first frame rate, and the second frame rate for
carrying out the process of the input video signal is determined
using the evaluation value. Further, the video process of the input
video signal is carried out using the second frame rate. In other
words, in accordance with the amount of displacement in movement of
the input video signal input according to the first frame rate, the
smoothness in movement of the video at the first frame rate is
evaluated and at the same time, the second frame rate is determined
using the evaluation. Further, the video process of the input video
signal is carried out using the second frame rate determined based
on the evaluation value for the input video signal. Therefore, it
is possible to carry out the video process of the input video
signal based on the second frame rate determined in accordance with
the evaluation of the smoothness in movement. In other words, it is
possible to determine a frame rate in accordance with the
smoothness in movement of a video and at the same time, to carry
out the video process of an input video signal while maintaining
the smoothness in movement of the video.
[0044] According to the video evaluation device, the frame rate
determination device, the video process device, the video
evaluation method, the frame rate determination method, the video
process method, the video evaluation program, the frame rate
determination program, and the video process program of the present
invention, since it is possible to determine a frame rate in
accordance with the smoothness in movement of a video, it becomes
possible to provide a video with smoothness in movement while
reducing the amount of process, the amount of data, and the power
consumption.
BRIEF DESCRIPTION OF THE DRAWINGS
[0045] FIG. 1 is a diagram illustrating a functional configuration
of video evaluation device in a modification example of a first
embodiment.
[0046] FIG. 2 is a diagram for explaining a method for detecting an
amount of displacement. (a) shows a frame picture P0 and (b) is a
diagram showing a frame picture P1.
[0047] FIG. 3 is a diagram for explaining a method for evaluating
the smoothness in movement. (a) is a diagram for explaining a
method for computing an amount of movement between frames and (b)
is a diagram for explaining a method for computing an evaluation
value based on an amount of movement between frames.
[0048] FIG. 4 is a flow chart showing a video evaluation process in
a modification example of the first embodiment.
[0049] FIG. 5 is a diagram for explaining a range obtained based on
the magnitude and direction of each movement vector.
[0050] FIG. 6 is a diagram illustrating a module configuration of a
video evaluation program in a modification example of the first
embodiment.
[0051] FIG. 7 is a diagram illustrating a functional configuration
of frame rate determination device in a second embodiment.
[0052] FIG. 8 (a) illustrates a first frame rate and (b) is a
diagram illustrating a sampling rate of an input video signal.
[0053] FIG. 9 is a flow chart showing a flow of a frame rate
determination process in the second embodiment.
[0054] FIG. 10 is a diagram illustrating a module configuration of
a frame rate determination program in the second embodiment.
[0055] FIG. 11 is a diagram illustrating a functional configuration
of video process device in a third embodiment.
[0056] FIG. 12 is a flow chart showing a flow of a video process in
the third embodiment.
[0057] FIG. 13 is a diagram illustrating a module configuration of
a video process program in the third embodiment.
[0058] FIG. 14 is a diagram illustrating a functional configuration
of video evaluation device in the first embodiment.
[0059] FIG. 15 is a diagram for explaining a method for detecting
an amount of change.
[0060] FIG. 16 is a diagram for explaining a method for evaluating
the smoothness in movement. (a) is a diagram for explaining a
method for computing an amount of change in time and (b) is a
diagram for explaining a method for calculating an evaluation value
based on an amount of change in time.
[0061] FIG. 17 is a flow chart showing a flow of a video evaluation
process in the first embodiment.
[0062] FIG. 18 is a diagram illustrating a module configuration of
a video evaluation program in the first embodiment.
DESCRIPTION OF THE PREFERRED EMBODIMENTS
[0063] Each embodiment of video evaluation device, frame rate
determination device, video process device, a video evaluation
method, a frame rate determination method, a video process method,
a video evaluation program, a frame rate determination program, and
a video process program according to the present invention is
explained below based on drawings. The same symbols are attached to
the same components in each drawing and no duplicated explanation
will be given here.
First Embodiment
[0064] First, a first embodiment of the present invention is
explained below. FIG. 14 is a diagram illustrating a functional
configuration of video evaluation device 140 in the first
embodiment.
[0065] Here, the video evaluation device 140 is physically a
computer comprising a CPU (Central Processing Unit), storage units
such as memory, communication devices, etc. Therefore, the video
evaluation device 140 may be a fixed communication terminal such as
PC terminal or may be a mobile communication terminal such as
mobile phone. In other words, as the video evaluation device 140,
device capable of processing information can be applied widely.
[0066] The functional configuration of the video evaluation device
140 is explained with reference to FIG. 14. As shown in FIG. 14,
the video evaluation device 140 has an amount of change detection
section 1401 and an evaluation value calculation section 1402.
[0067] The amount of change detection section 1401 divides an input
video signal 1403 input as a moving picture signal from the outside
into frame pictures. The amount of change detection section 1401
detects an amount of change that indicates the degree of change
between each frame picture of the input video signal based on the
plurality of divided frame pictures. The amount of change detection
section 1401 outputs a detected amount of change 1405 to the
evaluation value calculation section 1402.
[0068] Here, a method for detecting the amount of change 1405 is
explained specifically with reference to FIG. 15. The amount of
change detection section 1401 sequentially reads two successive
frame pictures divided from the input video signal 1403. Here, for
simplicity of explanation, the two successive frame pictures are
referred to as a frame picture P0 and a frame picture P1 in order
of read. The amount of change detection section 1401 finds the
difference in luminance value between pixels located at the same
coordinates in the read frame picture P1 and frame picture P0 and
calculates the square of the difference for each pixel included in
the entire frame picture. The amount of change detection section
1401 detects the amount of change 1405 by calculating the average
value of the above-mentioned squared values calculated for each
pixel. Therefore, the calculated average value is output to the
evaluation value calculation section 1402 as the amount of change
1405.
[0069] The evaluation value calculation section 1402 computes an
amount of change in time in accordance with the amount of change
1405 and the time interval between each frame picture based on the
amount of change 1405 received from the amount of change detection
section 1401 and the time interval between each frame picture based
on frame rate information 1404 received from the outside. The
evaluation value calculation section 1402 calculates an evaluation
value for evaluating the smoothness in movement of an input video
based on the computed amount of change in time. The evaluation
value calculation section 1402 outputs a calculated evaluation
value 1406 to the outside. Here, the outside corresponds, for
example, to device such as one for determining an optimum frame
rate for carrying out the vide process of the input video signal
1403 based on the evaluation value 1406. By outputting the
evaluation value 1406 to such external device, it becomes possible
to determine a frame rate in accordance with the smoothness in
movement of the video of the input video signal 1403.
[0070] Here, a method for evaluating the smoothness in movement is
explained specifically with reference to FIG. 16. First, for
example, a method for computing an amount of change in time S1 at a
time T1 is explained with reference to FIG. 16 (a). The evaluation
value calculation section 1402 computes the amount of change in
time S1 based on a time interval .DELTA.t1 between a time T0 of the
frame picture P0 and the time T1 of the frame picture P1 based on
the frame rate information 1404 and an amount of change .DELTA.c1.
The time interval .DELTA.t1 between the time T0 and the time T1
will be 1/F1 sec when the frame rate of the frame rate information
1404 at the time T1 is, for example, F1 fps.
[0071] The method for computing an amount of change in time is
explained more specifically. As shown in FIG. 16 (a), the amount of
change in time S1 at the time T1 will be .DELTA.t1.DELTA.c1 (the
area of the portion S1 hatched with slash lines shown in FIG. 16
(a)) when, for example, the time interval between the time T0 and
the time T1 is assumed to be .DELTA.t1 and the amount of change at
the time T1 is assumed to be .DELTA.c1. Similarly, an amount of
change in time S2 at a time T2 will be .DELTA.t2.DELTA.c2 (the area
of the portion S2 hatched with slash lines shown in FIG. 16 (a))
when, for example, the time interval between the time T1 and the
time T2 is assumed to be .DELTA.t2 and the amount of change at the
time T2 is assumed to be .DELTA.c2.
[0072] Next, a method for calculating an evaluation value based on
an amount of change in time is explained with reference to FIG. 16
(b). The evaluation value calculation section 1402 calculates an
evaluation value of the smoothness in movement of each frame
picture at a time Tn (n: positive integer, this also applies
hereinafter) for all of the frame pictures included in an input
video signal. This is explained specifically. The evaluation value
calculation section 1402 calculates an evaluation value of the
smoothness in movement at the time Tn using an amount of change in
time Sn of each frame picture at the time Tn. This is explained
more specifically. The evaluation value calculation section 1402
calculates an evaluation value of the smoothness in movement at the
time Tn using, for example, an expression .alpha./Sn (.alpha. is a
constant) including the amount of change in time Sn. Further, it
may also be possible for the evaluation value calculation section
1402 to calculate an evaluation value of the smoothness in movement
at the time Tn using an expression a.times.exp.sup.-bSn+c (a, b, c
are constants) including the amount of change in time Sn. The
evaluation value calculation section 1402 calculates the average
value of the evaluation values of the smoothness in movement at all
the times of an input video. The average value is output to the
outside as the final evaluation value 1406 of the input video.
[0073] Next, a flow of a video evaluation process in the video
evaluation device 140 in the first embodiment is explained below
with reference to FIG. 17.
[0074] First, the amount of change detection section 1401
sequentially reads the two successive frame pictures (the frame
picture P0, the frame picture P1) divided from the input video
signal 1403 (step S1701).
[0075] Next, the amount of change detection section 1401 finds the
difference in luminance value between pixels located at the same
coordinates in the read frame picture P1 and frame picture P0 and
calculates the square of the difference for each pixel included in
the entire frame picture (step S1702).
[0076] Next, the amount of change detection section 1401 calculates
the average value of the above-mentioned squared values calculated
for each pixel (step S1703). The calculated average value is output
to the evaluation value calculation section 1402 as the amount of
change 1405.
[0077] Next, the evaluation value calculation section 1402
calculates an amount of change in time in accordance with the
amount of change 1405 and the time interval between each frame
picture based on the amount of change 1405 received from the amount
of change detection section 1401 and the time interval between each
frame picture based on the frame rate information 1404 received
from the outside (step S1704).
[0078] Next, the evaluation value calculation section 1402
calculates an evaluation value of the smoothness in movement at the
time Tn of each frame picture for all the frame pictures included
in the input video signal using the amount of change in time (step
S1705).
[0079] Next, the evaluation value calculation section 1402
calculates the average value of the evaluation values of the
smoothness in movement at all the times of the input video based on
each of the calculated evaluation values (step S1706).
[0080] Next, the evaluation value calculation section 1402 outputs
the calculated average value to the outside as the evaluation value
1406 of the smoothness in movement for the entire input video
signal 1403 (step S1707).
[0081] As described above, according to the video evaluation device
140 in the first embodiment, the amount of change is calculated
based on the squared value of the difference in luminance value
between each frame of the plurality of frame pictures included in
the input video signal. Further, the evaluation value for
evaluating the smoothness in movement of the input video signal is
calculated based on the amount of change and the time interval
between frame pictures based on the frame rate of the input video
signal. Therefore, it is possible to evaluate the smoothness in
movement of the video at the frame rate during the period of video
process based on the amount of change in luminance value of the
input video signal input in accordance with the predetermined frame
rate. Further, it becomes possible to determine a frame rate
outside based on the evaluation value because the evaluation value
obtained by the evaluation is output to the outside. In other
words, it is possible to determine a frame rate in accordance with
the smoothness in movement of the video.
[0082] The unit used for the amount of change detection by the
amount of change detection section 1401 described above is not
limited to the above-mentioned entire frame picture. For example,
the unit may be a block, a pixel, an object region, etc.
[0083] The method of the amount of change detection by the amount
of change detection section 1401 is not limited to that described
above, in which the average value of the squared values calculated
for each pixel included in the frame picture is used. For example,
it may also be possible to use the maximum value, the median value,
or the minimum value of the above-mentioned squared values
calculated for each pixel, or to use the square root of the maximum
value, the median value, or the minimum value of the
above-mentioned squared values, or to use the variance of the
above-mentioned squared values for the entire frame picture.
[0084] The method of the amount of change detection by the amount
of change detection section 1401 is not limited to that described
above, in which the squared value of the difference in luminance
value between pixels located at the same coordinates in each frame
is used. For example, it may also be possible to use the value of
difference in luminance value between pixels located at the same
coordinates in each frame, or the absolute value of the
difference.
[0085] In the method of the amount of change detection by the
amount of change detection section 1401, it is possible to use any
value that indicates the change in the input video signal between
frames such as the movement vector between frame pictures of the
input video signal, in addition to those values described
above.
[0086] The method for computing the amount of change in time by the
evaluation value calculation section 1402 is not limited to that
described above, in which the above-mentioned expression (for
example, .DELTA.t1.DELTA.c1) is used, but it is only necessary for
the method to be capable of computing it based on the amount of
change and the time interval between frame pictures based on the
frame rate information.
[0087] The amount of change in time computed by the evaluation
value calculation section 1402 is not necessarily one for each
frame. For example, it may be one for each block, pixel, or
object.
[0088] The final evaluation value 1406 of the input video
calculated by the evaluation value calculation section 1402 is not
limited to the above-mentioned average value of the evaluation
values of the smoothness in movement at all the times of the input
video. For example, it may be the maximum value, the median value,
or the minimum value of the evaluation values of the smoothness in
movement at all the times of the input video.
[0089] The final evaluation value 1406 of the input video
calculated by the evaluation value calculation section 1402 is not
necessarily one for all of the frame pictures included in the input
video signal. For example, it may be one for some frame pictures,
or for each frame picture, block, pixel, or object.
[0090] Finally, a video evaluation program 180 for causing a
computer to function as the above-mentioned video evaluation device
140 is explained with reference to FIG. 18.
[0091] As shown in FIG. 18, the video evaluation program 180
comprises a main module program 1801 for generalizing processes, an
amount of change detection module 1802, and an evaluation value
calculation module 1803. The functions that the amount of change
detection module 1802 and the evaluation value calculation module
1803 cause a computer to carry out are the same as those possessed
by the above-mentioned amount of change detection section 1401 and
the evaluation value calculation section 1402.
[0092] The video evaluation program 180 is provided by, for
example, storage media such as CD-ROM, DVD, and ROM or
semiconductor memories. It may also be possible for the video
evaluation program 180 to be provided via a network as a computer
data signal multiplexed on carriers.
Modification Example of the First Embodiment
[0093] Next, a modification example of the above-mentioned first
embodiment is explained. FIG. 1 is a diagram illustrating a
functional configuration of video evaluation device 10 in a
modification example of the first embodiment.
[0094] Here, the video evaluation device 10 is physically a
computer comprising a CPU (Central Processing Unit), storage units
such as memory, communication devices, etc. Therefore, the video
evaluation device 10 may be a fixed communication terminal such as
PC terminal or may be a mobile communication terminal such as
mobile phone. In other words, as the video evaluation device 10,
device capable of processing information can be applied widely.
[0095] The functional configuration of the video evaluation device
10 is explained with reference to FIG. 1. As shown in FIG. 1, the
video evaluation device 10 has an amount of displacement detection
section 101, a feature value calculation section 102, and an
evaluation value calculation section 103.
[0096] The amount of displacement detection section 101 divides an
input video signal 104 input as a moving picture signal from the
outside into frame pictures. The amount of displacement detection
section 101 detects an amount of displacement (an amount of
displacement in movement) that indicates the degree of displacement
in movement of the input video signal based on the plurality of
divided frame pictures. The amount of displacement detection
section 101 outputs a detected amount of displacement 106 to the
feature value calculation section 102.
[0097] The amount of displacement is not limited to that which
indicates the degree of displacement in movement of an input video
signal, but it is only necessary for the amount of displacement to
indicate the degree of change between each frame picture of an
input video signal.
[0098] Here, a method for detecting the amount of displacement 106
is explained specifically with reference to FIG. 2. The amount of
displacement detection section 101 sequentially reads two
successive frame pictures divided from the input video signal 104.
Here, for simplicity of explanation, the two successive frame
pictures are referred to as the frame picture P0 (refer to FIG. 2
(a)) and the frame picture P1 (refer to FIG. 2 (b)) in order of
read. The amount of displacement detection section 101 divides the
read frame picture P1 into blocks having a predetermined size. The
amount of displacement detection section 101 searches the frame
picture P0 for a picture signal pattern that best resembles the
picture signal pattern of each block for each block of the frame
picture P1. This search can be realized by using, for example, a
search process by the block matching (correlation method) shown in
FIG. 2. The amount of displacement detection section 101 detects a
movement vector V (MVx, MVy) that is a spatial amount of
displacement between signal patterns of both pictures based on the
signal patterns of both pictures, judged to resemble each other by
the search process. The movement vector V is output to the feature
value calculation section 102 as the amount of displacement
106.
[0099] The feature value calculation section 102 calculates a
movement feature value 107 that indicates the movement feature of
an input video signal based on the amount of displacement 106
received from the amount of displacement detection section101. The
feature value calculation section 102 outputs the calculated
movement feature value 107 to the evaluation value calculation
section 103.
[0100] Here, a method for calculating a movement feature value is
explained specifically. The feature value calculation section 102
finds the magnitude of the movement vector of each block of the
frame picture P1 using the movement vector of each block of the
frame picture P1 received as the amount of displacement 106. If,
for example, it is assumed that the x component and the y component
of the movement vector of an arbitrary block on the frame picture
P1 are referred to as MVx and MVy, respectively, the magnitude of
the movement vector can be obtained from
(MVx.sup.2+MVy.sup.2).sup.1/2. The feature value calculation
section 102 calculates a value that features the frame picture P1
based on the magnitude of each movement vector. The calculated
value is output to the evaluation value calculation section 103 as
the movement feature value 107. As the value (the movement feature
value 107) calculated by the feature value calculation section 102,
for example, the maximum value, the median value, or the minimum
value of the magnitudes of the movement vectors obtained for each
block included in the frame picture apply.
[0101] The evaluation value calculation section 103 computes an
amount of movement between frames that indicates the degree of
movement between each frame picture based on the movement feature
value 107 received from the feature value calculation section 102
and the time interval between frame pictures based on frame rate
information 105 received from the outside. The evaluation value
calculation section 103 calculates an evaluation value for
evaluating the smoothness in movement of an input video signal
based on the computed amount of movement between frames. The
evaluation value calculation section 103 outputs a calculated
evaluation value 108 to the outside. Here, as the outside, for
example, device etc. applies, which determines an optimum frame
rate for carrying out the video process of the input video signal
104 based on the evaluation value 108. By outputting the evaluation
value 108 to such external device, it becomes possible to determine
a frame rate in accordance with the smoothness in movement of the
video of the input video signal 104.
[0102] When calculating an evaluation value, it is not necessarily
required to calculate it based the amount of movement between
frames. For example, it may also be possible to calculate an
evaluation value based on the amount of displacement 106 and the
amount of change in time in accordance with the time interval
between each frame picture. It is possible to compute the amount of
change in time based on the movement feature value 107 received
from the feature value calculation section 102 and the time
interval between frame pictures based on the frame rate information
105 received from the outside.
[0103] Here, a method for evaluating the smoothness in movement is
explained specifically with reference to FIG. 3. First, for
example, a method for computing the amount of movement between
frames S1 at the time T1 is explained with reference to FIG. 3 (a).
The evaluation value calculation section 103 computes the amount of
movement between frames S1 based on the time interval .DELTA.t1
between the time T0 of the frame picture P0 and the time T1 of the
frame picture P1 based on the frame rate information 105 and a
movement feature value .DELTA.d1 of the frame picture P1. The time
interval .DELTA.t1 between the time T0 and the time T1 will be 1/F1
sec when the frame rate of the frame rate information 105 at the
time T1 is, for example, F1 fps.
[0104] The method for computing an amount of movement between
frames is explained more specifically. As shown in FIG. 3 (a), the
amount of movement between frames S1 at the time T1 will be
.DELTA.t1.DELTA.d1/2 (the area of the portion S1 hatched with slash
lines shown in FIG. 3 (a)) when, for example, the time interval
between the time T0 and the time T1 is assumed to be .DELTA.t1 and
the movement feature value at the time T1 is assumed to be
.DELTA.d1. Similarly, an amount of movement between frames S2 at
the time T2 will be .DELTA.t2.DELTA.d2/2 (the area of the portion
S2 hatched with slash lines shown in FIG. 3 (a)) when, for example,
the time interval between the time T1 and the time T2 is assumed to
be .DELTA.t2 and a movement feature value at the time T2 is assumed
to be .DELTA.d2.
[0105] Next, a method for calculating an evaluation value based on
an amount of movement between frames is explained with reference to
FIG. 3 (b). The evaluation value calculation section 103 calculates
an evaluation value of the smoothness in movement of each frame
picture at the time Tn (n: positive integer, this also applies
hereinafter) for all of the frame pictures included in an input
video signal. This is explained specifically. The evaluation value
calculation section 103 calculates an evaluation value of the
smoothness in movement at the time Tn using the amount of movement
between frames Sn of each frame picture at the time Tn. This is
explained more specifically. The evaluation value calculation
section 103 calculates an evaluation value of the smoothness in
movement at the time Tn using, for example, the expression
.alpha./Sn (.alpha. is a constant) including the amount of movement
between frames Sn. Further, it may also be possible for the
evaluation value calculation section 103 to calculate an evaluation
value of the smoothness in movement at the time Tn using the
expression a.times.exp.sup.-bSn+c (a, b, c are constants) including
the amount of movement between frames Sn. The evaluation value
calculation section 103 calculates the average value of the
evaluation values of the smoothness in movement at all the times of
an input video. The average value is output to the outside as the
final evaluation value 108 of the input video.
[0106] Next, a flow of a video evaluation process in the video
evaluation device 10 in the modification example of the first
embodiment is explained below with reference to FIG. 4.
[0107] First, the amount of displacement detection section 101
sequentially reads the two successive frame pictures (the frame
picture P0, the frame picture P1) divided from the input video
signal 104 (step S401).
[0108] Next, the amount of displacement detection section 101
divides the read frame picture P1 into blocks having a
predetermined size (step S402).
[0109] Next, the amount of displacement detection section 101
searches the frame picture P0 for a picture signal pattern that
best resembles the picture signal pattern of each block for each
block of the frame picture P1 (step S403).
[0110] The amount of displacement detection section 101 detects a
movement vector (MVx, MVy) that is a spatial amount of displacement
between the picture signal patterns based on the signal patterns of
both pictures judged to resemble each other by the search (step
S404). The detected movement vector is output to the feature value
calculation section 102 as the amount of displacement 106.
[0111] Next, the feature value calculation section 102 finds the
magnitude of the movement vector of each block of the frame picture
P1 using the movement vector of each block of the frame picture P1
included in the amount of displacement 106.
[0112] Next, the feature value calculation section 102 calculates a
value that features the frame picture P1 based on the magnitude of
each movement vector (step S406). The calculated value is output to
the evaluation value calculation section 103 as the movement
feature value 107.
[0113] Next, the evaluation value calculation section 103
calculates an amount of displacement between frames, which is an
amount of movement between each frame picture, based on the
movement feature value 107 received from the feature value
calculation section 102 and the time interval between each frame
picture based on the frame rate information 105 received from the
outside (step S407).
[0114] Next, the evaluation value calculation section 103
calculates an evaluation value of the smoothness in movement at the
time Tn of each frame picture for all the frame pictures included
in the input video signal using the amount of movement between
frames (step S408).
[0115] Next, the evaluation value calculation section 103
calculates the average value of the evaluation values of the
smoothness in movement at all the times of the input video based on
each of the calculated evaluation values (step S409).
[0116] Next, the evaluation value calculation section 103 outputs
the calculated average value to the outside as the evaluation value
108 of the smoothness in movement for the entire input video signal
104 (step S410).
[0117] As described above, according to the video evaluation device
10 in the modification example of the first embodiment, the
movement vector is detected based on the plurality of frame
pictures included in the input video signal and the movement
feature value is calculated based on the magnitude of the movement
vector. Further, the evaluation value for evaluating the smoothness
in movement of the input video signal is calculated based on the
movement feature value and the time interval between frame pictures
based on the frame rate of the input video signal. Therefore, it is
possible to evaluate the smoothness in movement of the video at the
frame rate during the period of video process based on the
magnitude of the movement vector of the input video signal input in
accordance with the predetermined frame rate. Further, it becomes
possible to determine a frame rate outside based on the evaluation
value because the evaluation value obtained by the evaluation is
output to the outside. In other words, it is possible to determine
a frame rate in accordance with the smoothness in movement of the
video.
[0118] The unit used for searching for a picture signal pattern by
the above-mentioned amount of displacement detection section 101 is
not limited to the block. For example, the unit may be a frame, a
pixel, an object region, etc. Further, the method of the search
process by the amount of displacement detection section 101 is not
limited to the above-mentioned block matching. For example, it may
be a concentration gradient method.
[0119] The amount of displacement detection section 101 may read
the input video signal 104 including the movement vector of a video
as the above-mentioned input video signal 104. In this case, the
amount of displacement detection section 101 detects the movement
vector from the input video signal 104 received from the outside
and outputs the detected movement vector to the feature value
calculation section 102 as the amount of displacement 106.
[0120] The movement feature value 107 calculated by the feature
value calculation section 102 is not limited to the maximum value,
the average value, the median value, or the minimum value of the
magnitudes of the movement vectors obtained for each of the blocks
as described above. For example, it may be the magnitude of one
movement vector obtained for each frame picture or the maximum
value, the average value, the median value, or the minimum value of
the magnitudes of the movement vectors obtained for each pixel in
the frame picture or for each object region.
[0121] The movement feature value 107 calculated by the feature
value calculation section 102 is not necessarily required to be one
for each frame. For example, it may be one for each block, pixel,
or object. Further, the movement feature value 107 may be one for
each of ranges R (for example, R1, R2, R3) defined by the plurality
of circles with the origin shown in FIG. 5 being their center and
the plurality of lines extending from the origin with respect to
the distribution of the movement vectors obtained for each block,
pixel, or object.
[0122] Here, a method for calculating the movement feature value
107 for each of the above-mentioned ranges R is explained
specifically with reference to FIG. 5, a case where one frame
picture is divided into nine blocks being an example. First, a
movement vector is obtained for each of the nine divided blocks. It
is assumed that each of the obtained movement vectors is referred
to as V1 to V9. Next, each of the movement vectors V1 to V9 is
projected on a graph shown in FIG. 5. For example, it is assumed
that the movement vectors V1 to V4 are included in the range R1
shown in FIG. 5, the movement vectors V5 and V6 are included in the
range R2 shown in FIG. 5, and the movement vectors V7 to V9 are
included in the range R3 shown in FIG. 5. In this case, for
example, a movement vector VR1 calculated as the average value of
the movement vectors V1 to V4 is obtained as the movement feature
value 107 in the range R1, a movement vector VR2 calculated as the
average value of the movement vectors V5 and V6 is obtained as the
movement feature value 107 in the range R2, and a movement vector
VR3 calculated as the average value of the movement vectors V7 to
V9 is obtained as the movement feature value 107 in the range R3,
as a result. The method for obtaining a movement vector is not
limited to the method that uses a block as the unit, and the unit
may be, for example, a pixel or an object.
[0123] The method for computing the amount of movement between
frames by the evaluation value calculation section 103 is not
limited to the method that uses the above-mentioned expression (for
example, .DELTA.t1.DELTA.d1/2). For example, it may be computed
from the expression .beta.MVx.DELTA.t1/2+.gamma.MVy.DELTA.t1/2
(.beta., .gamma. are constants) expressed by using the movement
vector (MVx, MVy), which is the amount of displacement 106, and
time interval between frame pictures based on the frame rate
information 105.
[0124] The amount of movement between frames computed by the
evaluation value calculation section 103 is not necessarily
required to be one for each frame. For example, it may be one for
each block, pixel, object, or for each of the above-mentioned
ranges R (refer to FIG. 5).
[0125] The calculation of the evaluation value of the smoothness in
movement at the time Tn of each frame picture calculated by the
evaluation value calculation section 103 is not limited to the
calculation using the above-mentioned .alpha./Sn (.alpha. is a
constant) or a.times.exp.sup.-bSn+c (a, b, c are constants). For
example, it may be calculated from a function using the movement
vector (MVx, MVy), which is the amount of displacement 106, and the
time interval between frame pictures based on the frame rate
information 105.
[0126] The final evaluation value 108 of an input video signal
calculated by the evaluation value calculation section 103 is not
limited to the above-mentioned average value of the evaluation
values of the smoothness in movement at all the times of the input
video. For example, it may be the maximum value, the median value,
or the minimum value of the evaluation values of the smoothness in
movement at all the times of the input video.
[0127] The final evaluation value 108 of an input video calculated
by the evaluation value calculation section 103 is not necessarily
required to be one for the entire frame picture included in the
input video signal. For example, it may be one for some frame
pictures, or for each frame picture, block, pixel, object, or for
each of the above-mentioned ranges R (refer to FIG. 5).
[0128] Finally, a video evaluation program 50 for causing a
computer to function as the above-mentioned video evaluation device
10 is explained with reference to FIG. 6.
[0129] As shown in FIG. 6, the video evaluation program 50
comprises a main module program 501 for generalizing processes, an
amount of displacement detection module 502, a feature value
calculation module 503, and an evaluation value calculation module
504. The functions that the amount of displacement detection module
502, the feature value calculation module 503, and the evaluation
value calculation module 504 cause a computer to carry out are the
same as those possessed by the above-mentioned amount of
displacement detection section 101, the feature value calculation
section 102, and the evaluation value calculation section 103.
[0130] The video evaluation program 50 is provided by, for example,
storage media such as CD-ROM, DVD, and ROM or semiconductor
memories. It may also be possible for the video evaluation program
50 to be provided via a network as a computer data signal
multiplexed on carriers.
[0131] Further, it is possible to make the video evaluation device
10 in the modification example of the first embodiment have the
same functional configuration as that of the video evaluation
device 140 in the first embodiment by integrating the amount of
displacement detection section 101 and the feature value
calculation section 102 into an amount of change detection
section.
Second Embodiment
[0132] Next, a second embodiment of the present invention is
explained. FIG. 7 is a diagram illustrating a functional
configuration of frame rate determination device 70 in the second
embodiment.
[0133] Here, the frame rate determination device 70 is physically a
computer comprising a CPU (Central Processing Unit), storage units
such as memory, communication devices, etc. Therefore, the frame
rate determination device 70 may be a fixed communication terminal
such as PC terminal or may be a mobile communication terminal such
as mobile phone. In other words, as the frame rate determination
device 70, device capable of processing information can be applied
widely.
[0134] The functional configuration of the frame rate determination
device 70 is explained with reference to FIG. 7. As shown in FIG.
7, the frame rate determination device 70 comprises a frame rate
generation section 701, a video evaluation section 702, and a frame
rate determination section 703.
[0135] The frame rate generation section 701 generates a first
frame rate 705. The frame rate generation section 701 outputs the
generated first frame rate 705 to the video evaluation section 702
and the frame rate determination section 703.
[0136] The video evaluation section 702 has the same function as
that possessed by the video evaluation device 140 described in the
above-mentioned first embodiment or that possessed by the video
evaluation device 10 described in the modification example of the
first embodiment. In other words, the video evaluation section 702
has the same function as that possessed by the above-mentioned
amount of change detection section 1401 and the evaluation value
calculation section 1402 or that possessed by the amount of
displacement detection section 101, the feature value calculation
section 102, and the evaluation value calculation section 103.
[0137] The video evaluation section 702 reads frame pictures at the
time intervals in accordance with the first frame rate 705 from an
input video signal 704 input as a moving picture signal from the
outside and calculates an evaluation value 706 of the smoothness in
movement for the entire input video signal 704. The video
evaluation section 702 outputs the calculated evaluation value 706
of the smoothness in movement to the frame rate determination
section 703.
[0138] Here, there is no problem with the first frame rate 705 even
if it differs from the sampling rate of the input video signal 704.
For example, while the first frame rate 705 shown in FIG. 8 (a) is
1/15 sec, the sampling rate of the input video signal 704 shown in
FIG. 8 (b) is 1/30 sec.
[0139] The frame rate determination section 703 determines a second
frame rate 707 based on the evaluation value 706 received from the
video evaluation section 702 and the first frame rate 705 received
from the frame rate generation section 701. The frame rate
determination section 703 outputs the determined second frame rate
707 to the frame rate determination device 70 as a frame rate for
carrying out the process of the input video signal 704.
[0140] This is explained specifically. When, for example, the
evaluation value 706 is greater than a predetermined set value, the
frame rate determination section 703 decreases the second frame
rate 707 lower than the first frame rate 705. When, for example,
the evaluation value 706 is less than the predetermined set value,
the frame rate determination section 703 increases the second frame
rate 707 higher than the first frame rate 705. When, for example,
the evaluation value 706 is equal to the predetermined set value,
the frame rate determination device 70 makes the second frame rate
707 equal to the first frame rate 705.
[0141] With this, it is possible to determine a second frame rate
such that the evaluation value for evaluating the smoothness in
movement of a video falls within a predetermined evaluation
criterion range. In other words, it is possible to read an input
video signal while keeping the smoothness in movement of a video
within a predetermined criterion range. The above-mentioned
predetermined set value may be set in advance or given from the
outside.
[0142] Next, the flow of a frame rate determination process in the
frame rate determination device 70 of the second embodiment is
explained with reference to FIG. 9.
[0143] First, the frame rate generation section 701 generates the
first frame rate 705 (step S901).
[0144] Next, the video evaluation section 702 reads frame pictures
at the time intervals in accordance with the first frame rate 705
from the input video signal 704 (step S902).
[0145] Next, the video evaluation section 702 calculates the
evaluation value 706 of the smoothness in movement for the entire
input video signal 704 based on each frame picture (step S903). In
other words, the video evaluation section 702 calculates the
evaluation value 706 of the smoothness in movement for the entire
input video signal 704 by carrying out, based on each frame
picture, the video evaluation processes from step S1701 to step
S1707 explained in the above-mentioned first embodiment (refer to
FIG. 17) or the video evaluation processes from step S401 to step
S410 explained in the above-mentioned modification example of the
first embodiment (refer to FIG. 4).
[0146] Next, the frame rate determination section 703 determines
the second frame rate 707 based on the evaluation value 706
received from the video evaluation section 702 and the first frame
rate 705 received from the frame rate generation section 701 (step
S904).
[0147] Next, the frame rate determination section 703 outputs the
second frame rate 707 to the outside as a frame rate for carrying
out the process of the input video signal 704 (step S905).
[0148] As described above, according to the frame rate
determination device 70 of the second embodiment, the evaluation
value for evaluating the smoothness in movement of the input video
signal is calculated based on the amount of change in the input
video signal and the time interval between frame pictures based on
the first frame rate and the second frame rate for carrying out the
process of the input video signal is determined using the
evaluation value. In other words, the smoothness in movement of the
video at the first frame rate is evaluated in accordance with the
amount of change in the input video signal input according to the
first frame rate and at the same time, the second frame rate is
determined using the evaluation.
[0149] Further, the movement vector is detected based on the
plurality of frame pictures included in the input video signal and
the movement feature value is calculated based the magnitude of the
movement vector. Then, the evaluation value for evaluating the
smoothness in movement of the input video signal is calculated
based on the movement feature value and the time interval between
frame pictures based on the first frame rate and the second frame
rate for carrying out the process of the input video signal is
determined using the evaluation value. In other words, the
smoothness in movement of the video at the first frame rate is
evaluated in accordance with the movement feature value of the
input video signal input according to the first frame rate and at
the same time, the second frame rate is determined using the
evaluation.
[0150] Therefore, it is possible to read the input video signal
while maintaining the smoothness in movement of a video as well as
determining a frame rate of the input video signal in accordance
with the smoothness in movement of the video.
[0151] Finally, a frame rate determination program 100 for causing
a computer to function as the above-mentioned frame rate
determination device 70 is explained with reference to FIG. 10.
[0152] As shown in FIG. 10, the frame rate determination program
100 comprises a main module program 1001 for generalizing
processes, a frame rate generation module 1002, a video evaluation
module 1003, and a frame rate determination module 1004. The
functions that the frame rate generation module 1002, the video
evaluation module 1003, and the frame rate determination module
1004 cause a computer to carry out are the same as those possessed
by the above-mentioned frame rate generation section 701, the video
evaluation section 702, and the frame rate determination section
703.
[0153] The frame rate determination program 100 is provided by, for
example, storage media such as CD-ROM, DVD, and ROM or
semiconductor memories. It may also be possible for the frame rate
determination program 100 to be provided via a network as a
computer data signal multiplexed on carriers.
Third Embodiment
[0154] Next, a third embodiment is explained. FIG. 11 is a diagram
illustrating a functional configuration of video process device 110
in the third embodiment.
[0155] Here, the video process device 110 is physically a computer
comprising a CPU (Central Processing Unit), storage units such as
memory, communication devices, etc. Therefore, the video process
device 110 may be a fixed communication terminal such as PC
terminal or may be a mobile communication terminal such as mobile
phone. In other words, as the video process device 110, device
capable of processing information can be applied widely.
[0156] The functional configuration of the video process device 110
is explained with reference to FIG. 11. As shown in FIG. 11, the
video process device 110 has a buffer section 1101, a frame rate
determination section 1102, and a video process section 1103.
[0157] The buffer section 1101 temporarily stores an input video
signal 1104 input from the outside as a moving picture signal in
the buffer on the memory. The buffer section 1101 outputs the input
video signal 1104 to the frame rate determination section 1102. The
input video signal 1104 temporarily stored in the buffer is read as
a process video signal 1106 by the video process section 1103,
which will be described later.
[0158] The frame rate determination section 1102 has the same
function as that possessed by the frame rate determination device
70 described in the above-mentioned second embodiment. In other
words, the frame rate determination section 1102 has the same
function as that possessed by the above-mentioned frame rate
generation section 701, the video evaluation section 702, and the
frame rate determination section 703. The frame rate determination
section 1102 calculates a video process frame rate 1105
corresponding to the above-mentioned second frame rate 707 using
the input video signal 1104 received from the buffer section 1101.
The frame rate determination section 1102 outputs the calculated
video process frame rate 1105 to the video process section
1103.
[0159] The video process section 1103 reads the process video
signal 1106 from the buffer section 1101 at the time intervals in
accordance with the video process frame rate 1105 and carries out
the video process based on the process video signal 1106. This is
explained specifically. The video process section 1103 reads only
the frame pictures at the times corresponding to the video process
frame rate 1105 received from the frame rate determination section
1102 among the frame pictures included in the process video signal
1106 stored in the buffer section 1101 and carries out the video
process. The video process section 1103 outputs the video generated
by the video process to the outside. To the video process carried
out by the video process section 1103, for example, acquisition,
storing, transmission, encoding, and decoding of videos
correspond.
[0160] Next, the flow of a video process in the video process
device 110 in the third embodiment is explained with reference to
FIG. 12.
[0161] First, the buffer section 1101 outputs the input video
signal 1104 input from the outside as a moving picture signal to
the frame rate determination section 1102 and at the same time,
temporarily stores the input video signal 1104 in the buffer on the
memory (step S1201).
[0162] Next, the frame rate determination section 1102 calculates
the video process frame rate 1105 using the input video signal 1104
received from the buffer section 1101 (step S1202). In other words,
the frame rate determination section 1102 calculates the video
process frame rate 1105, which is a second frame rate, by carrying
out the frame rate determination processes from step S901 to step
S905 explained in the above-mentioned second embodiment using the
input video signal 1104 (refer to FIG. 9).
[0163] Next, the video process section 1103 reads the process video
signal 1106 from the buffer section 1101 at the time intervals in
accordance with the video process frame rate 1105 and carries out
the video process based on the process video signal 1106 (step
S1203).
[0164] Next, the video process section 1103 outputs the video
generated by the video process to the outside (step S1204).
[0165] As described above, according to the video process device
110 in the third embodiment, the evaluation value for evaluating
the smoothness in movement of the input video signal is calculated
based on the amount of change in the input video signal and the
time interval between frame pictures based on the first frame rate
and the second frame rate for carrying out the process of the input
video signal is determined using the evaluation value. Then, the
video process of the input video signal is carried out using the
second frame rate. In other words, the smoothness in movement of
the video at the first frame rate is evaluated in accordance with
the amount of change in the input video signal input according to
the first frame rate and at the same time, the second frame rate is
determined using the evaluation. Then, the video process of the
input video signal is carried out using the second frame rate
determined based on the evaluation value for the input video
signal.
[0166] Further, the movement vector is detected based on the
plurality of frame pictures included in the input video signal and
the movement feature value is calculated based on the magnitude of
the movement vector. Then, the evaluation value for evaluating the
smoothness in movement of the input video signal is calculated
based on the movement feature value and the time interval between
frame pictures based on the first frame rate and the second frame
rate for carrying out the process of the input video signal is
determined using the evaluation value. Further, the video process
of the input video signal is carried out using the second frame
rate. In other words, the smoothness in movement of the video at
the first frame rate is evaluated in accordance with the movement
feature value of the input video signal input according to the
first frame rate and at the same time, the second frame rate is
determined using the evaluation. Then, the video process of the
input video signal is carried out using the second frame rate
determined based on the evaluation value for the input video
signal.
[0167] Therefore, it is possible to carry out the video process of
the input video signal based on the second frame rate determined in
accordance with the evaluation of the smoothness in movement. In
other words, it is possible to carry out the video process of the
input video signal while maintaining the smoothness in movement of
the video as well as determining a frame rate in accordance with
the smoothness in movement of the video.
[0168] The above-mentioned video process device 110 can be applied
to, for example, video acquisition device (for example, camera),
video transmission device, a video encoder, or a video decoder.
[0169] When the video process device 110 is applied to video
acquisition device, each of the functions described above functions
as follows. The buffer section 1101 buffers the input video signal
1104 input at a sampling rate (for example, 30 fps). The frame rate
determination section 1102 calculates the optimum video process
frame rate 1105 (for example, 15 fps) when the video acquisition
device acquires a video using the input video signal 1104 received
from the buffer section 1101 and outputs it to the video process
section 1103. The video process section 1103 samples the input
video signal 1104 stored in the buffer section 1101 using the video
process frame rate 1105 (for example, 15 fps) received from the
frame rate determination section 1102. The video process section
1103 acquires the process video signal 1106 obtained by sampling at
the video process frame rate 1105 (for example, 15 fps).
[0170] When the video process device 110 is applied to video
storing device, each of the functions described above functions as
follows. The buffer section 1101 buffers the input video signal
1104 input at a sampling rate (for example, 30 fps). The frame rate
determination section 1102 calculates the optimum video process
frame rate 1105 (for example, 15 fps) when the video storing device
stores a video using the input video signal 1104 received from the
buffer section 1101 and outputs it to the video process section
1103. The video process section 1103 samples the input video signal
1104 stored in the buffer section 1101 using the video process
frame rate 1105 (for example, 15 fps) received from the frame rate
determination section 1102. The video process section 1103 stores
the process video signal 1106 obtained by sampling at the video
process frame rate 1105 (for example, 15 fps).
[0171] When the video process device 110 is applied to video
transmission device, each of the functions described above
functions as follows. The buffer section 1101 buffers the input
video signal 1104 input at a sampling rate (for example, 30 fps).
The frame rate determination section 1102 calculates the optimum
video process frame rate 1105 (for example, 15 fps) when the video
transmission device transmits a video using the input video signal
1104 received from the buffer section 1101 and outputs it to the
video process section 1103. The video process section 1103 samples
the input video signal 1104 stored in the buffer section 1101 using
the video process frame rate 1105 (for example, 15 fps) received
from the frame rate determination section 1102. The video process
section 1103 transmits the process video signal 1106 obtained by
sampling at the video process frame rate 1105 (for example, 15
fps).
[0172] When the video process device 110 is applied to a video
encoder, each of the functions described above functions as
follows. The buffer section 1101 buffers the input video signal
1104 input at a sampling rate (for example, 30 fps). The frame rate
determination section 1102 calculates the optimum video process
frame rate 1105 (for example, 15 fps) when the video encoder
encodes a video using the input video signal 1104 received from the
buffer section 1101 and outputs it to the video process section
1103. The video process section 1103 samples the input video signal
1104 stored in the buffer section 1101 using the video process
frame rate 1105 (for example, 15 fps) received from the frame rate
determination section 1102. The video process section 1103 encodes
the process video signal 1106 obtained by sampling at the video
process frame rate 1105 (for example, 15 fps).
[0173] When the video process device 110 is applied to a video
decoder, each of the functions described above functions as
follows. The buffer section 1101 buffers the input video signal
1104 input at a sampling rate (for example, 30 fps). The frame rate
determination section 1102 calculates the optimum video process
frame rate 1105 (for example, 15 fps) when the video decoder
decodes a video using the input video signal 1104 received from the
buffer section 1101 and outputs it to the video process section
1103. The video process section 1103 samples the input video signal
1104 stored in the buffer section 1101 using the video process
frame rate 1105 (for example, 15 fps) received from the frame rate
determination section 1102. The video process section 1103 decodes
the process video signal 1106 obtained by sampling at the video
process frame rate 1105 (for example, 15 fps).
[0174] Finally, a video process program 130 for causing a computer
to function as the above-mentioned video process device 110 is
explained with reference to FIG. 13.
[0175] As shown in FIG. 13, the video process program 130 comprises
a main module program 1301 for generalizing processes, a buffer
module 1302, a frame rate determination module 1303, and a video
process module 1304. The functions that the buffer module 1302, the
frame rate determination module 1303, and the video process module
1304 cause a computer to carry out are the same as those possessed
by the above-mentioned buffer section 1101, the frame rate
determination section 1102, and the video process section 1103.
[0176] The video process program 130 is provided by, for example,
storage media such as CD-ROM, DVD, and ROM or semiconductor
memories. It may also be possible for the video process program 130
to be provided via a network as a computer data signal multiplexed
on carriers.
* * * * *