• DocumentCode
    594865
  • Title

    Local intensity compensation using sparse representation

  • Author

    Inoue, Ken ; Saito, Hiroshi ; Kuroki, Yoshimitsu

  • Author_Institution
    Kurume Nat. Coll. of Technol., Kurume, Japan
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    951
  • Lastpage
    954
  • Abstract
    This paper proposes a motion compensation method using sparse representation for video coding technique. A new generation video compression technology known as the HEVC (High Efficiency Video Coding) suggests a novel motion compensation called local intensity compensation. Local intensity compensation represents a current block by a linear combination of some reference blocks. In this study, the weight coefficients of the linear combination are calculated by sparse representation. Sparse representation is able to obtain many zero coefficients, thus the current block can be represented by a few and meaningful reference blocks. The experimental observations demonstrate that the quality of local intensity compensation increases by sparse representation.
  • Keywords
    image representation; motion compensation; sparse matrices; video coding; HEVC; high efficiency video coding technique; linear combination; local intensity compensation; new generation video compression technology; novel motion compensation method; reference blocks; sparse representation; weight coefficients; zero coefficients; Mobile communication; Motion compensation; Standards; Transform coding; Vectors; Video coding; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460292