Adaptive GOP structure based on motion coherence

Yanzhuo Ma, Shuai Wan, Yilin Chang, Fuzheng Yang, Xiaoyu Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Adaptive Group of Pictures (GOP) is helpful for increasing the efficiency of video encoding by taking account of characteristics of video content. This paper proposes a method for adaptive GOP structure selection for video encoding based on motion coherence, which extracts key frames according to motion acceleration, and assigns coding type for each key and non-key frame correspondingly. Motion deviation is then used instead of motion magnitude in the selection of the number of B frames. Experimental results show that the proposed method for adaptive GOP structure selection achieves performance gain of 0.2-1dB over the fixed GOP, and has the advantage of better transmission resilience. Moreover, this method can be used in real-time video coding due to its low complexity.

Original languageEnglish
Title of host publicationSatellite Data Compression, Communication, and Processing V
DOIs
StatePublished - 2009
EventSatellite Data Compression, Communication, and Processing V - San Diego, CA, United States
Duration: 4 Aug 20095 Aug 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7455
ISSN (Print)0277-786X

Conference

ConferenceSatellite Data Compression, Communication, and Processing V
Country/TerritoryUnited States
CitySan Diego, CA
Period4/08/095/08/09

Keywords

  • Adaptive GOP
  • Key frame
  • Motion coherence
  • Video coding

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