• DocumentCode
    357023
  • Title

    Semi-automatic semantic video object extraction by active contour model

  • Author

    Lu, Zhitao ; Pearlman, W.A.

  • Author_Institution
    Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    645
  • Abstract
    An algorithm to extract the semantic video object in the first frame of a video sequence is proposed. The extracted closed object contour provides an accurate video object model for automatic object extraction in the following frames. Two polygons are input by the user to specify the area in which the object boundary is located. Based on this, edges which belong to the video object of interest are selected by a local object contour model. Then an active contour model (snake) is applied to refine the closed object contour
  • Keywords
    feature extraction; object recognition; video coding; video signal processing; active contour model; closed object contour; local object contour model; multimedia information; polygons; semantic video object; semantic video object extraction; snake; video sequence; Application software; Computer networks; Data mining; Humans; Image edge detection; Shape; Source coding; Systems engineering and theory; Video sequences; Visual communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7803-6536-4
  • Type

    conf

  • DOI
    10.1109/ICME.2000.871445
  • Filename
    871445