• DocumentCode
    2986901
  • Title

    Content-based video sequence representation

  • Author

    Jasinschi, R.S. ; Moura, J.M.F.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    229
  • Abstract
    The compact representation of video sequences is important for many applications, including very low bit-rate video compression and digital image libraries. We discuss here a novel approach, called generative video, by which video sequences are compactly represented in terms of their contents. This is achieved by reducing the video sequence to constructs. Constructs encode video sequence contents, such as, the shape and the velocity of independently moving objects, and the camera motion. Constructs are of two types: world images and generative operators. World images are augmented images incrementally generated. Generative operators, access video sequence contents and reconstruct the sequence from the world images. The reduction of a video sequence to constructs proceeds in steps. First, the shape of independently moving regions in the image is tessellated into rectangles. Second, world images are generated using the tessellated shape representation. This is described with an experiment using a real video sequence
  • Keywords
    data compression; image reconstruction; image representation; image sequences; motion estimation; video coding; augmented images; camera motion; constructs; content based video sequence representation; digital image libraries; experiment; generative operators; generative video; independently moving objects velocity; real video sequence; sequence reconstruction; shape; tessellated shape representation; very low bit rate video compression; video sequence contents encoding; world images; Application software; Cameras; Digital images; Image generation; Image reconstruction; Image segmentation; Shape; Software libraries; Video compression; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537456
  • Filename
    537456