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

Manoranjan, P.; Murshed, M. and Dooley, L. S. (2005). 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.

Item Type: Journal Article
ISSN: 1051-8215
Extra Information: "©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE."
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 10556
Depositing User: Laurence Dooley
Date Deposited: 10 Apr 2008
Last Modified: 23 Feb 2016 23:00
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