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A novel cross-hexagon search algorithm for fast block motion estimation

  • Kamel Belloulata*
  • , Shiping Zhu
  • , Jun Tian
  • , Xiaodong Shen
  • *Corresponding author for this work
  • University of Sidi-Bel-Abbès
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Search patterns and the center-biased characteristics of motion vector distribution have large impact on both searching speed and quality of block motion estimation. In this paper, we propose a new cross-hexagon search algorithm (NCHEXS) using two cross-shaped search patterns as the first two initial steps and large/small hexagon-shaped patterns as the subsequent steps for fast block motion estimation (BME). NCHEXS employs halfway stop technique to achieve significant speedup on sequences with stationary and quasi-stationary blocks. To further reduce computational complexity, NCHEXS employs Modified Partial Distortion Criterion (MPDC). Experimental results indicate that the improvements of NCHEXS over Hexagon Search (HEXS) and Cross-Diamond Search (CDS) can save 45% and 28% of search points while keeping similar PSNR, and NCHEXS provides faster searching speed and smaller distortion than other popular fast block-matching motion estimation algorithms.

Original languageEnglish
Title of host publication7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011
Pages1-4
Number of pages4
DOIs
StatePublished - 2011
Event7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011 - Tipaza, Algeria
Duration: 9 May 201111 May 2011

Publication series

Name7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011

Conference

Conference7th International Workshop on Systems, Signal Processing and their Applications, WoSSPA 2011
Country/TerritoryAlgeria
CityTipaza
Period9/05/1111/05/11

Keywords

  • block-matching
  • cross-hexagon search
  • modified partial distortion criterion
  • motion estimation

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