• DocumentCode
    481022
  • Title

    Automatic object segmentation algorithms for sprite coding using MPEG-4

  • Author

    Krutz, Andreas ; Glantz, Alexander ; Sikora, Thomas ; Nunes, Paulo ; Pereira, Fernando

  • Author_Institution
    Commun. Syst. Group, Tech. Univ. Berlin, Berlin
  • Volume
    2
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    459
  • Lastpage
    462
  • Abstract
    Object-based video coding, as standardized in MPEG-4 Part 2, can result in superior performance in comparison to common hybrid motion-compensated DCT-based approaches. We consider sprite coding which increases significantly the objective as well as the subjective quality of the coded video. The main challenge of this approach is the pre-segmentation of the video and the video content itself. To apply sprite coding, the input video has to be firstly segmented into foreground and background objects. We evaluate automatic object segmentation methods based on global motion estimation and background sprite generation. These algorithms are evaluated using the standardized MPEG-4 visual main profile (sprite coding).
  • Keywords
    discrete cosine transforms; image coding; image segmentation; motion compensation; motion estimation; video coding; MPEG-4; automatic object segmentation algorithms; background sprite generation; global motion estimation; hybrid motion-compensated DCT-based approach; object-based video coding; sprite coding; Cameras; Decoding; Image reconstruction; MPEG 4 Standard; Motion estimation; Object segmentation; Sprites (computer); Telecommunications; Video coding; Video sequences; MPEG-4 Visual; Object-based video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2008. 50th International Symposium
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-1-4244-3364-3
  • Type

    conf

  • Filename
    4747542