• DocumentCode
    2341772
  • Title

    A fast motion estimation algorithm by using Immune Quantum Algorithm

  • Author

    Zhen, Liu ; Jin-ming, Shi ; Zhong-ying, Bai ; Jin-yan, Zhao

  • Author_Institution
    Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing
  • fYear
    2008
  • fDate
    3-5 June 2008
  • Firstpage
    505
  • Lastpage
    509
  • Abstract
    In this paper, a novel fast multi-mode motion estimation algorithm by using immune quantum algorithm is proposed. By the judgement of the motion style according to he correlation of the motion vector. the type of searching modes can be choosed adaptively. In the slow-motion mode, CDS method can be used directly. In the exquisite motion mode, a combined IQA/CDS search strategy is utilized. Firstly, the IQA method is used to search the appropriate best motion vector in the combined search strategy, which can synthesizes the character of block motion estimation and that of global search, no prone to premature and high convergence speed. Then the CDS method is used to search global best motion vector in the region around the appropriate motion vector. Experimental results show that the algorithm can speed up the process of motion estimation effectively.
  • Keywords
    motion estimation; block motion estimation; immune quantum algorithm; motion vector; multimode motion estimation algorithm; slow-motion mode; Computer science; Convergence; Image coding; Meteorology; Motion estimation; Satellites; Statistics; Video coding; Video compression; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1717-9
  • Electronic_ISBN
    978-1-4244-1718-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2008.4582567
  • Filename
    4582567