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Proceedings Paper

Prediction matching for video coding
Author(s): Yunfei Zheng; Peng Yin; Òscar Divorra Escoda; Joel Solé; Cristina Gomila
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Paper 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.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7543, Visual Information Processing and Communication, 75430I (18 January 2010); doi: 10.1117/12.839400
Show Author Affiliations
Yunfei Zheng, Thomson Corporate Research (United States)
Peng Yin, Thomson Corporate Research (United States)
Òscar Divorra Escoda, Telefónica Research (Spain)
Joel Solé, Thomson Corporate Research (United States)
Cristina Gomila, Thomson Corporate Research (United States)

Published in SPIE Proceedings Vol. 7543:
Visual Information Processing and Communication
Amir Said; Onur G. Guleryuz, Editor(s)

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