• DocumentCode
    1020167
  • Title

    Genetic motion search algorithm for video compression

  • Author

    Chow, Keith Hung-Kei ; Liou, Ming L.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, Hong Kong
  • Volume
    3
  • Issue
    6
  • fYear
    1993
  • fDate
    12/1/1993 12:00:00 AM
  • Firstpage
    440
  • Lastpage
    445
  • Abstract
    A new approach to block-based motion estimation for video compression, called the genetic motion search (GMS) algorithm, is introduced. It makes use of a natural processing concept called genetic algorithm (GA). In contrast to existing fast algorithms, which rely on the assumption that the matching error decreases monotonically as the search point moves closer to the global optimum, the GMS algorithm is not fundamentally limited by this restriction. Experimental results demonstrate that GMS is more robust than other algorithms in locating the global optimum and is computationally simpler than the full search algorithm. GMS is also suitable for VLSI implementation because of its regularity and high architectural parallelism
  • Keywords
    data compression; genetic algorithms; image coding; motion estimation; video signals; GMS algorithm; VLSI implementation; block-based motion estimation; genetic motion search algorithm; global optimum; high architectural parallelism; regularity; video compression; Computational complexity; Cutoff frequency; Frequency response; Genetic algorithms; Image converters; Kernel; Low pass filters; Motion estimation; Transform coding; Video compression;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/76.260203
  • Filename
    260203