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.

DOI: https://doi.org/10.1109/TCSVT.2005.848312

URL: http://ieeexplore.ieee.org/search/wrapper.jsp?arnu...

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.

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• Item ORO ID
• 10556
• Item Type
• Journal Item
• 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 or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Depositing User
• Laurence Dooley