Prediction matching for video coding

Yunfei Zheng; Peng Yin; Òscar Divorra Escoda; Joel Solé; Cristina Gomila

doi:10.1117/12.839400

18 January 2010 Prediction matching for video coding

Yunfei Zheng, Peng Yin, Òscar Divorra Escoda, Joel Solé, Cristina Gomila

Proceedings Volume 7543, Visual Information Processing and Communication; 75430I (2010) https://doi.org/10.1117/12.839400
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

Modern video coding schemes such as H.264/AVC employ multi-hypothesis motion compensation for an improved coding efficiency. However, an additional cost has to be paid for the improved prediction performance in these schemes. Based on the observed high correlation among the multiple hypothesis in H.264/AVC, in this paper, we propose a new method (Prediction Matching) to jointly combine explicit and implicit prediction approaches. The first motion hypothesis on a predicted block is explicitly coded, while the eventual additional hypotheses are implicitly derived at the decoder based on the first one and the available data from previously decoded frames. Thus, the overhead to indicate motion information is reduced, while prediction accuracy may be better with respect to fully implicit multi-hypothesis prediction. Proof-of-concept simulation results show that up to 7.06% bitrate saving with respect to state-of-the-art H.264/AVC can be achieved using our Prediction Matching.

Citation Download Citation

Yunfei Zheng, Peng Yin, Òscar Divorra Escoda, Joel Solé, and Cristina Gomila "Prediction matching for video coding", Proc. SPIE 7543, Visual Information Processing and Communication, 75430I (18 January 2010); https://doi.org/10.1117/12.839400

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KEYWORDS

Video coding

Quantization

Distortion

Video

Motion models

Reconstruction algorithms

Video compression

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