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A Fast Full Search Algorithm for Motion Estimation Using Priority of Matching Scan

  • Taekyung Ryu
  • Gwang Jung
  • Jong-Nam Kim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4141)

Abstract

Full search motion estimation in real-time video coding requires large amount of computations. Reducing computational cost for full search motion estimation is critical research issue for enabling fast real-time video coding such as MPEG-4 advanced video coding. In this paper, we propose a novel fast full search block matching algorithmwhich significantly reduces unnecessary computations without affecting motion prediction quality. The proposed algorithm identifies computational matching order from initial calculation of matching differences. According to the computational order identified, matching errors are calculated based on partial distortion elimination method. The proposed algorithm could reduce about 45% of computational cost for calculating block matching errors compared with the conventional algorithm without degrading any motion prediction quality. The proposed algorithm will be particularly useful for realizing fast real-time video coding applications, such as MPEG-4 advanced video coding, that require large amount of computations.

Keywords

Motion Vector Motion Estimation Motion Estimation Algorithm Candidate Block Block Match Algorithm 
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 2006

Authors and Affiliations

  • Taekyung Ryu
    • 1
  • Gwang Jung
    • 2
  • Jong-Nam Kim
    • 1
  1. 1.Division of Electronic Computer and Telecommunication EngineeringPukyong National UniversityBusanKorea
  2. 2.Department of Mathematics and Computer ScienceLehman College, The City University of New YorkBronxUSA

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