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

Paul, M.; Murshed, M. and Dooley, L. (2004). A new efficient similarity metric and generic computation strategy for pattern-based very low bit-rate video coding. In: 2004 IEEE International Conference on Acoustics, Speech and Signal Processing, 17-21 May 2004, Montreal, QC, Canada, IEEE, iii-165.

DOI: https://doi.org/10.1109/ICASSP.2004.1326507

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.

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