Matching pursuits video coding: dictionaries and fast implementation

PJ Czerepinski, C Davies, CN Canagarajah, DR Bull

Research output: Contribution to journalArticle (Academic Journal)peer-review

23 Citations (Scopus)
370 Downloads (Pure)

Abstract

Matching pursuits over a basis of separable Gabor functions has been demonstrated to outperform DCT methods for displaced frame difference coding for video compression. Unfortunately, apart from very low bit-rate applications, the algorithm involves an extremely high computational load. This paper contains an original contribution to the issues of dictionary selection and fast implementation for matching pursuits video coding. First, it is shown that the PSNR performance of existing matching pursuits codecs can be improved and the implementation cost reduced by a better selection of dictionary functions. Secondly, dictionary factorization is put forward to further reduce implementation costs. A reduction of the computational load by a factor of 20 is achieved compared to implementations reported to date. For a majority of test conditions, this reduction is supplemented by an improvement in reconstruction quality. Finally, a pruned full-search algorithm is introduced, which offers significant quality gains compared to the better-known heuristic fast-search algorithm, while keeping the computational cost low.
Translated title of the contributionMatching pursuits video coding: dictionaries and fast implementation
Original languageEnglish
Article number7
Pages (from-to)1103 - 1115
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume10
Issue number7
DOIs
Publication statusPublished - Oct 2000

Bibliographical note

Other: Invited Paper
Rose publication type: Journal article

Terms of use: Copyright © 2000 IEEE. Reprinted from IEEE Transactions on Circuits and Systems for Video Technology.

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Keywords

  • matching pursuit
  • displaced frame difference
  • low-complexity algorithm
  • pruned full search
  • video coding

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