Computational RAM implementation of an adaptive vector quantization algorithm for video compression

T. M. Le, S. Panchanathan

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Vector Quantization (VQ) is a promising technique for lowbit rate image and video compression. Recently, adaptive VQ-based video compression algorithms have been reported in the literature. This paper proposes an adaptive codebook replenishment VQ algorithm using index-based motion estimation (AVQ+ME) for low-bit rate video compression. The proposed technique has been implemented on a Computational*RAM (C*RAM) SIMD structure.

Original languageEnglish (US)
Pages (from-to)738-747
Number of pages10
JournalIEEE Transactions on Consumer Electronics
Volume41
Issue number3
DOIs
StatePublished - Aug 1995
Externally publishedYes

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering

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