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

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 patt...

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Veröffentlicht in:IEEE transactions on circuits and systems for video technology 2005-06, Vol.15 (6), p.753-761
Hauptverfasser: Paul, M., Murshed, M., Dooley, L.S.
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container_title IEEE transactions on circuits and systems for video technology
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creator Paul, M.
Murshed, M.
Dooley, L.S.
description 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 RTPS is superior to both the Fixed-8 algorithm and H.263.
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subjects Algorithms
Applied sciences
Australia
Bit rate
Circuits
Coding
Exact sciences and technology
Image quality
Information technology
Information, signal and communications theory
Miscellaneous
Motion compensation
Motion estimation
Pattern matching
Real time
Shape
Signal processing
Similarity
Telecommunications and information theory
Teleconferencing
Video coding
Video compression
title A real-time pattern selection algorithm for very low bit-rate video coding using relevance and similarity metrics
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