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A Fast Motion Estimation Algorithm Based on Context-Adaptive Parallelogram Search Pattern

  • Chuanyan Tian
  • Chengdong Shen
  • SiKun Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3311)

Abstract

Block Motion Estimation is vital to the coding (compression) of natural video images, and it is one of the most important components of the standards of video compression technology. In order to reduce the high computational complexity of Motion Estimation, this paper proposed a context-adaptive parallelogram search pattern, and developed a fast motion-estimation algorithm based on the search pattern. Parallelogram search pattern contains five search models, and the search model may be chosen from a selection of five search models in the process of Motion Estimation. The experimental results show that the proposed algorithm can provide a remarkable computational complexity reduction in Motion Estimation(ME), while it maintains high compression efficiency.

Keywords

Motion Vector Motion Estimation Search Pattern Search Point Diamond Search 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Chuanyan Tian
    • 1
  • Chengdong Shen
    • 1
  • SiKun Li
    • 1
  1. 1.Office 607, School of Computer ScienceNational University of Defense TechnologyChangShaChina

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