• DocumentCode
    384448
  • Title

    Creating animations combining stochastic paintbrush transformation and motion detection

  • Author

    Kovács, Levente ; Szirányi, Tamás

  • Author_Institution
    Dept. of Image Process. & Neurocomputing, Univ. of Veszprem, Egyetem, Hungary
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1090
  • Abstract
    In this paper we propose a method for creating animation and animation-like video sequences from any ordinary video recorded by any means available. The method is based on paintbrush transformation, developed and patented by our department, and on different motion detection algorithms. One of the goals of the method is to obtain animations, cartoon-like outputs from a usual camera-recorded image sequence. The method inherits properties of the paintbrush transformation method like well-defined contours, acceptable distortion, and a painting-like view with no fine details below a limit. The resulting output is a series of video frames stored as brush-strokes and motion data between the frames, compressed for size reduction. This output can be converted to any available video format by decompression, frame-reconstruction and recompression.
  • Keywords
    computer animation; image motion analysis; image sequences; video coding; animation; animation-like video sequences; brush strokes; camera-recorded image sequence; cartoon-like outputs; decompression; distortion; frame reconstruction; motion detection; painting-like view; recompression; size reduction; stochastic paintbrush transformation; video; video frames; well-defined contours; Animation; Automation; Image coding; Image processing; Image sequences; Laboratories; Motion detection; Painting; Stochastic processes; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2002. Proceedings. 16th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-1695-X
  • Type

    conf

  • DOI
    10.1109/ICPR.2002.1048495
  • Filename
    1048495