Tun; Myo

Patent Applications and Registrations

Patent applications and USPTO patent grants for Tun; Myo.The latest application filed is for "selection of video quality metrics and models to optimize bitrate savings in video encoding applications".

Company Profile

2.15.15

Tun; Myo - McKinney TX
Tun; Myo - Randolph NJ

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Selection of video quality metrics and models to optimize bitrate savings in video encoding applications Grant 11,350,105 - Kottke , et al. May 31, 2	2022-05-31
Dynamic scaling for consistent video quality in multi-frame size encoding Grant 11,228,766 - Kottke , et al. January 18, 2	2022-01-18
Video characterization for smart encoding based on perceptual quality optimization Grant 11,159,801 - Kottke , et al. October 26, 2	2021-10-26
Selection of Video Quality Metrics and Models to Optimize Bitrate Savings in Video Encoding Applications App 20210203951 - Kottke; Dane P. ; et al.	2021-07-01
Dynamic Scaling for Consistent Video Quality in Multi-frame Size Encoding App 20210203950 - Kottke; Dane P. ; et al.	2021-07-01
Video Characterization For Smart Encoding Based On Perceptual Quality Optimization App 20200413067 - Kottke; Dane P. ; et al.	2020-12-31
Video characterization for smart encoding based on perceptual quality optimization Grant 10,757,419 - Kottke , et al. A	2020-08-25
Video Characterization For Smart Encoding Based On Perceptual Quality Optimization App 20190289296 - Kottke; Dane P. ; et al.	2019-09-19
Efficient packet processing at video receiver in multimedia communications over packet networks Grant 10,148,598 - Yang , et al. De	2018-12-04
Perceptual optimization for model-based video encoding Grant 10,097,851 - Lee , et al. October 9, 2	2018-10-09
Perceptual optimization for model-based video encoding Grant 10,091,507 - Lee , et al. October 2, 2	2018-10-02
Application-assisted spatio-temporal error concealment for RTP video Grant 9,756,356 - Yang , et al. September 5, 2	2017-09-05
Efficient Packet Processing At Video Receiver In Multimedia Communications Over Packet Networks App 20170187651 - Yang; Kyeong Ho ; et al.	2017-06-29
Efficient packet processing at video receiver in multimedia communications over packet networks Grant 9,628,411 - Yang , et al. April 18, 2	2017-04-18
Efficient bitrate adaptation in video communications over IP networks Grant 9,609,040 - Tun , et al. March 28, 2	2017-03-28
Perceptual Optimization for Model-Based Video Encoding App 20170070745 - Lee; Nigel ; et al.	2017-03-09
Perceptual Optimization For Model-based Video Encoding App 20160073111 - Lee; Nigel ; et al.	2016-03-10
Resource-adaptive video encoder sharing in multipoint control unit Grant 9,210,381 - Yang , et al. December 8, 2	2015-12-08
Efficient Bitrate Adaptation In Video Communications Over Ip Networks App 20150244760 - Tun; Myo ; et al.	2015-08-27
Efficient Packet Processing At Video Receiver In Multimedia Communications Over Packet Networks App 20150244650 - Yang; Kyeong Ho ; et al.	2015-08-27
Resource-adaptive Video Encoder Sharing In Multipoint Control Unit App 20140375756 - Yang; Kyeong Ho ; et al.	2014-12-25
Application-Assisted Spatio-Temporal Error Concealment for RTP Video App 20140376632 - Yang; Kyeong Ho ; et al.	2014-12-25

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.