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A new efficient similarity metric and generic computation strategy for pattern-based very low bit-rate video coding

Manoranjan, P.; Murshed, M. and Dooley, L. S. (2004). A new efficient similarity metric and generic computation strategy for pattern-based very low bit-rate video coding. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’04), 17-21 May 2004, Montreal.

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DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1109/ICASSP.2004.1326507
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Abstract

In the context of very low bit-rate video coding, pattern representations of a moving region (MR) in block-based motion estimation and compensation has become increasingly attractive. Generally, all existing pattern-matching algorithms apply a similarity metric, involving elementary operations, to compute the mismatch between an MR and a particular fixed pattern in order to select the best-matching pattern from a fixed-size codebook of predefined patterns. An efficient similarity metric, together with a new generic computation strategy, is presented by considering only the mismatch areas of MRs. It is theoretically proven that for a specific MR in a macroblock, the new similarity metric selects exactly the same pattern as existing metrics, while the resulting computational coding efficiency is improved by between 21% and 58% compared with the H.263 low bit-rate coding standard.

Item Type: Conference Item
ISSN: 1520-6149
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 11425
Depositing User: Laurence Dooley
Date Deposited: 20 Aug 2008 06:07
Last Modified: 05 Dec 2010 05:37
URI: http://oro.open.ac.uk/id/eprint/11425
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