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A novel adaptive multi-mode search algorithm for fast block-matching motion estimation

  • University of Texas at Arlington College of Engineering

Research output: Contribution to journal › Conference article › peer-review

6 Citations (Scopus)

Abstract

Motion estimation is the main bottleneck in real-time video coding applications, and the search for fast and effective motion estimation algorithms has been a challenging problem recently. This paper describes a new block-matching algorithm that exploits the spatial correlations, and proposes an adaptive multi-mode search algorithm (AMMS) based on the analysis of the neighboring area surrounding the predicted motion vectors. Compared with the well-known diamond search (DS) and hexagon-based search (HEXBS) algorithms recently proposed, our algorithm is robust and achieves similar performance with significantly reduced number of search points.

Original languageEnglish
Pages (from-to)III977-III980
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume3
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE International Symposium on Cirquits and Systems - Proceedings - Vancouver, BC, Canada
Duration: 23 May 2004 → 26 May 2004

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