Manoranjan, P.; Murshed, M. and Dooley, L. S.
A real-time pattern selection algorithm for very low bit-rate video coding using relevance and similarity metrics.
IEEE Transactions on Circuits and Systems for Video Technology, 15(6) pp. 753–761.
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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.
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