• DocumentCode
    1711158
  • Title

    Dynamic texture synthesis for video compression

  • Author

    Bansal, Shruti ; Chaudhury, Santanu ; Lall, Brejesh

  • Author_Institution
    Electrical Engineering Department, Indian Institute of Technology Delhi, New Delhi, India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, a dynamic texture based compression scheme is devised for videos. Correspondence analysis is explored for the analysis of motion patterns in a video on the basis of optic flow data and then clusters of different motion patterns are created. Dynamic textures tend to disobey Horn and Schunck´s assumption of brightness constancy and hence, optic flow residual is used as an indicator of their presence. The correspondence analysis results and optic flow residual are combined together in a new segmentation scheme. The optic flow data tracks the motion of groups of pixels to generate the flow lines. These flow lines are used in a synthesis scheme for creating an illusion of continuously flowing texture. The integration of this synthesis scheme in the compression format gives us considerable bit stream reduction corresponding to the dynamic texture regions. The scheme is integrated with standard H.264/AVC model, texture regions that do not fall under the above precinct of dynamic textures and non-texture regions are encoded-decoded by the H.264 model directly.
  • Keywords
    Computer vision; Decoding; Dynamics; Image motion analysis; Industries; Motion segmentation; Optical imaging; Correspondence analysis; flow line; optic flow residue; particle matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (NCC), 2013 National Conference on
  • Conference_Location
    New Delhi, India
  • Print_ISBN
    978-1-4673-5950-4
  • Electronic_ISBN
    978-1-4673-5951-1
  • Type

    conf

  • DOI
    10.1109/NCC.2013.6487938
  • Filename
    6487938