Fast Mode Decision Algorithm for Scalable Video Coding Using Bayesian Theorem Detection and Markov Process

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 SV...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2010-04, Vol.20 (4), p.563-574
Main Authors: YEH, Chia-Hung, FAN, Kai-Jie, CHEN, Mei-Juan, LI, Gwo-Long
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Algorithms
Applied sciences
Bayesian
Bayesian analysis
Bayesian methods
Circuit properties
coarse granular scalability
Coding
Communication standards
Complexity
Computation
Computational complexity
Electric, optical and optoelectronic circuits
Electronic circuits
Electronics
Encoding
Exact sciences and technology
Image processing
Information, signal and communications theory
Markov
Markov processes
mode decision
Multimedia communication
scalable video coding
Signal convertors
Signal processing
Static VAr compensators
Statistical analysis
Telecommunications and information theory
Theorems
Video coding
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Summary: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.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2010.2041825