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A real-time pattern selection algorithm for very low bit-rate video coding using relevance and similarity metrics

journal contribution
posted on 2023-02-06, 23:17 authored by M Paul, Manzur MurshedManzur Murshed, LS Dooley
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 RTFS is superior to both the Fixed-8 algorithm and H.263. © 2005 IEEE.

History

Journal

IEEE Transactions on Circuits and Systems for Video Technology

Volume

15

Pagination

753-761

ISSN

1051-8215

eISSN

1558-2205

Language

English

Issue

6

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC