• DocumentCode
    304760
  • Title

    Segmentation of image sequences for object oriented coding

  • Author

    Siggelkow, Sven ; Grigat, Rolf-Rainer ; Ibenthal, Achim

  • Author_Institution
    Tech. Univ. Hamburg-Harburg, Germany
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    477
  • Abstract
    This paper presents an algorithm for segmentation of image sequences where specially aspects for object oriented coding are taken into account. A fundamental requirement of such applications is the temporal stability of the segmentation. This is improved compared to other existing approaches by including motion estimation into the segmentation process. Additionally, a hierarchical approach enables an efficient predictive coding on one hand and a semantic data access on the other hand. As a direct result from using full colour information for the segmentation process, coding of the chrominance information can be done with extremely high compression ratios. Thus there is nearly no extra coding effort for colour images compared to greyscale images
  • Keywords
    data compression; image colour analysis; image sequences; motion estimation; prediction theory; video coding; MPEG-4; algorithm; chrominance information coding; colour image coding; colour information; hierarchical approach; high compression ratios; image segmentation; image sequences; motion estimation; object oriented coding; predictive coding; semantic data access; temporal stability; video coding; Color; Humans; Image coding; Image segmentation; Image sequences; Layout; Motion estimation; Predictive coding; Stability; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560892
  • Filename
    560892