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.

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.

Viewing alternatives

Look up in Google Scholar

Download history

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About

CORE (COnnecting REpositories)

Recommendations