Manoranjan, P.; Murshed, M. and Dooley, L.
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|DOI (Digital Object Identifier) Link:||http://doi.org/10.1109/ICASSP.2003.1199495|
|Google Scholar:||Look up in Google Scholar|
Very low bit-rate video coding, using regular shaped patterns to focus on moving regions in macroblocks, has gained significant attention recently. This paper presents a new real-time pattern selection (RTPS) algorithm using a large codebook of thirty two patterns. The algorithm uses a relevance measurement for all the patterns and a moving region, to eliminate a large number of irrelevant patterns prior to the actual best likelihood pattern selection procedure. Both theoretically and empirically it is proven that not only is the computational complexity of the new algorithm comparable to the contemporary algorithm that use a pattern codebook size of only eight patterns but also the new algorithm reduces the bit-rate significantly, while maintaining comparable subjective quality.
|Item Type:||Conference Item|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Laurence Dooley|
|Date Deposited:||28 Aug 2008 04:08|
|Last Modified:||04 Oct 2016 22:36|
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