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

T. M. Le, S. Panchanathan

Research output: Contribution to journalConference articlepeer-review

Abstract

Vector Quantization (VQ) is a promising technique for low-bit rate image and video compression. Recently, adaptive VQ-based video compression algorithms have been reported in the literature. This paper proposes a new method which combines index-based motion estimation, and pattern-matching VQ for low-bit rate video compression. The proposed technique has been implemented on a ComputationalRAM (CRAM) SIMD structure.

Original languageEnglish (US)
Pages (from-to)294-295
Number of pages2
JournalDigest of Technical Papers - IEEE International Conference on Consumer Electronics
StatePublished - Jan 1 1995
Externally publishedYes
EventProceedings of the 1995 IEEE International Conference on Consumer Electronics - Rosemont, IL, USA
Duration: Jun 7 1995Jun 9 1995

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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