A real-time pattern selection algorithm for very low bit-rate video coding using relevance and similarity metrics

Authors:
M. Paul;M. Murshed;L. S. Dooley
Affiliations:
Gippsland Sch. of Comput. & Inf. Technol., Monash Univ., Churchill, Vic., Australia;-;-
Venue:
IEEE Transactions on Circuits and Systems for Video Technology
Year:
2005

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Abstract

Very low bit-rate video coding using regularly shaped patterns to represent moving regions in macroblocks has good potential for improved coding efficiency. This paper presents a real-time pattern selection (RTPS) algorithm, which uses a pattern relevance and similarity metric to achieve faster pattern selection from a large codebook. For each applicable macroblock, the relevance metric is applied to create a customized pattern codebook (CPC) from which the best pattern is selected using the similarity metric. The CPC size is adapted to facilitate real-time selection. Results prove the quantitative and perceptual performance of RTPS is superior to both the Fixed-8 algorithm and H.263.