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18 January 2010 Video coding mode decision as a classification problem
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In this paper, we show that it is possible to reduce the complexity of Intra MB coding in H.264/AVC based on a novel chance constrained classifier. Using the pairs of simple mean-variances values, our technique is able to reduce the complexity of Intra MB coding process with a negligible loss in PSNR. We present an alternate approach to address the classification problem which is equivalent to machine learning. Implementation results show that the proposed method reduces encoding time to about 20% of the reference implementation with average loss of 0.05 dB in PSNR.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rashad Jillani, Urvang Joshi, Chiranjib Bhattacharya, Hari Kalva, and R. K. Ramakrishnan "Video coding mode decision as a classification problem", Proc. SPIE 7543, Visual Information Processing and Communication, 75430X (18 January 2010);


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