A novel vector quantizer-based architecture for block-matching motion estimation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Block-matching algorithms (BMA) are commonly used in image sequence coding for motion estimation. Even though the estimation of block motion vectors by an exhaustive search is optimal, the computational complexity precludes its usage in many real-time codec applications. In this paper, we present a novel vector quantizer (VQ) based architecture for BMA offering sizeable reduction in the number of computations and also the number of motion vectors transmitted. We also compare the performance of the proposed algorithm with other commonly used fast search methods.

Original languageEnglish (US)
Title of host publicationConference Record of the 29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995
EditorsAvtar Singh
PublisherIEEE Computer Society
Pages1403-1407
Number of pages5
ISBN (Electronic)0818673702
DOIs
StatePublished - Jan 1 1995
Event29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995 - Pacific Grove, United States
Duration: Oct 30 1995Nov 1 1995

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2
ISSN (Print)1058-6393

Conference

Conference29th Asilomar Conference on Signals, Systems and Computers, ACSSC 1995
CountryUnited States
CityPacific Grove
Period10/30/9511/1/95

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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