• DocumentCode
    1683671
  • Title

    Three-dimensional video segmentation using a variational method

  • Author

    Parker, Brian ; Magarey, Julian

  • Author_Institution
    Canon Inf. Syst. Res., North Ryde, NSW, Australia
  • Volume
    2
  • fYear
    2001
  • Firstpage
    765
  • Abstract
    Spatio-temporal segmentation of streaming video is performed using a novel 3D extension of a 2D Mumford-Shah region-merging segmentation algorithm. By treating the video segmentation problem as a pure 3D segmentation problem, the algorithm can provide both intra-frame segmentation and interframe region correspondences in a single, unified framework. The Mumford-Shah functional formulation leads to improved segmentation results compared to existing approaches, and its theoretical foundations allow a simple graph-based implementation and elegant solutions to some important subproblems
  • Keywords
    graph theory; image segmentation; object detection; tracking; variational techniques; video signal processing; 2D Mumford-Shah region-merging segmentation algorithm; 3D video segmentation; graph-based implementation; interframe region correspondence; intra-frame segmentation; object tracking; spatio-temporal segmentation; streaming video; three-dimensional video segmentation; variational method; Approximation error; Australia; Data structures; Error correction; Image segmentation; Information systems; Merging; Pixel; Streaming media; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.958606
  • Filename
    958606