Video signal processing and coding on data-parallel computers

P. Moulin, A. T. Ogielski, G. Lilienfeld, J. W. Woods

Research output: Contribution to journalArticlepeer-review

Abstract

Special purpose hardware has been traditionally viewed as the only practical solution for high speed video signal processing (VSP). However, new parallel computing technologies may provide a much more flexible alternative. In this paper we discuss techniques for implementing VSP algorithms on data-parallel computers, including data distribution and the tradeoffs between memory usage, communication, and computation. We provide theoretical analyses and illustrate them with examples of implementations written for the MasPar data-parallel computers. The algorithms studied here are a selection of classical algorithms that includes block-discrete cosine transform coding, subband coding and block-matching motion estimation. Additionally, two new algorithms of the authors are also presented, on intraframe nonorthogonal subband coding and on motion-compensated three-dimensional subband coding.

Original languageEnglish (US)
Pages (from-to)118-129
Number of pages12
JournalDigital Signal Processing: A Review Journal
Volume5
Issue number2
DOIs
StatePublished - Apr 1995
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Statistics, Probability and Uncertainty
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Applied Mathematics

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