Fast mode decision algorithm for scalable video coding using bayesian theorem detection and markov process

Chia Hung Yeh*, Kai Jie Fan, Mei Juan Chen, Gwo Long Li

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

41 引文 斯高帕斯(Scopus)

摘要

The newest video coding standard called scalable video coding (SVC) provides broad applications in multimedia communications. SVC encoder consumes great computational complexity when compared to previous video coding standards. This paper presents a fast mode decision algorithm that speeds up the SVC encoding process through probabilistic analysis. The mode of the enhancement layer is first predicted by statistical analysis. Afterward, Bayesian theorem is utilized to detect whether the prediction mode of the current macroblock is the best or not. The mode is further predicted and refined by the Markov process. Experimental results show that the proposed algorithm significantly reduces computational complexity with negligible peak signal-to-noise ratio degradation and bitrate increase in the enhancement layers.

原文英語
文章編號5401066
頁(從 - 到)563-574
頁數12
期刊IEEE Transactions on Circuits and Systems for Video Technology
20
發行號4
DOIs
出版狀態已發佈 - 2010 四月
對外發佈

ASJC Scopus subject areas

  • 媒體技術
  • 電氣與電子工程

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