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Proceedings Paper

Video coding mode decision as a classification problem
Author(s): Rashad Jillani; Urvang Joshi; Chiranjib Bhattacharya; Hari Kalva; R. K. Ramakrishnan
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Paper Abstract

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.

Paper Details

Date Published: 18 January 2010
PDF: 8 pages
Proc. SPIE 7543, Visual Information Processing and Communication, 75430X (18 January 2010); doi: 10.1117/12.840243
Show Author Affiliations
Rashad Jillani, Florida Atlantic Univ. (United States)
Urvang Joshi, Indian Institute of Science, Bangalore (India)
Chiranjib Bhattacharya, Indian Institute of Science, Bangalore (India)
Hari Kalva, Florida Atlantic Univ. (United States)
R. K. Ramakrishnan, Indian Institute of Science, Bangalore (India)

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

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