Paper
31 August 2009 Adaptive GOP structure based on motion coherence
Yanzhuo Ma, Shuai Wan, Yilin Chang, Fuzheng Yang, Xiaoyu Wang
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanzhuo Ma, Shuai Wan, Yilin Chang, Fuzheng Yang, and Xiaoyu Wang "Adaptive GOP structure based on motion coherence", Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 74550T (31 August 2009); https://doi.org/10.1117/12.827426
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KEYWORDS
Video

Video coding

Video compression

Computer programming

Motion analysis

Motion estimation

Motion measurement

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