• DocumentCode
    2095528
  • Title

    Variable size finite-state motion vector quantization

  • Author

    Bilgin, Ali ; Marcellin, Michael W. ; Abut, Hüseyin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • Volume
    4
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    2017
  • Abstract
    We present an algorithm which combines vector quantization (VQ) techniques with variable size block matching algorithms (BMA) for motion compensated image sequence coding. First, an algorithm which decomposes the image frame into blocks of different sizes with similar motion parameters is proposed. Since the algorithm is based on splitting the block that would result in the highest decrease in distortion, it does not require a merging step. Next, VQ techniques are utilized to expedite the search for the block motion vector without significant sacrifice in the temporal entropy reduction performance. We compare the performance and the computational requirements of the proposed algorithm with other BMAs
  • Keywords
    image coding; image matching; image sequences; motion compensation; motion estimation; search problems; BMA; VQ techniques; block motion vector; computational requirements; distortion; image frame; image sequence coding; motion compensation; motion parameters; temporal entropy reduction performance; variable size block matching algorithms; variable size finite-state motion VQ; vector quantization; Distortion measurement; Entropy; Image coding; Merging; Motion compensation; Motion estimation; Motion measurement; Multilevel systems; Partitioning algorithms; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.544851
  • Filename
    544851