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A novel fast three-step search algorithm for block-matching motion estimation

  • William Booth
  • James M. Noras
  • Donglai Xu
Poster Session III
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1352)

Abstract

A fast three-step search (FTSS) block matching algorithm for motion estimation is described. The method is based on the real world image sequence's characteristic of centre-biased motion vector distribution and uses centre-biased checking point patterns and a small number of search locations to perform fast block matching. Computational complexity is reduced by employing an 11 x 11 search window rather than the traditional 15 x 15 window. Simulation results are presented which show that the FTSS algorithm provides competitive performance at faster speed when compared with similar techniques such as full search (FS), three-step search (TSS), new three-step search (NTSS) and four-step search (4SS). The advantages of the novel algorithm for hardware implementation are discussed with particular relevance to applying it to video coding.

Keywords

Compression block matching video coding three step search motion vector estimation CIF video sequences 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • William Booth
    • 1
  • James M. Noras
    • 1
  • Donglai Xu
    • 1
  1. 1.Department of Electronic and Electrical EngineeringUniversity of BradfordBradfordUK

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