• DocumentCode
    2401279
  • Title

    Video falsifying by motion interpolation and inpainting

  • Author

    Shih, Timothy K. ; Tan, Nick C. ; Tsai, Joseph C. ; Zhong, Hsing-Ying

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamkang
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We change the behavior of actors in a video. For instance, the outcome of a 100-meter race in the Olympic game can be falsified. We track objects and segment motions using a modified mean shift mechanism. The resulting video layers can be played in different speeds and at different reference points with respect to the original video. In order to obtain a smooth movement of target objects, a motion interpolation mechanism is proposed based on continuous stick figures (i.e., a video of human skeleton) and video inpainting. The video inpainting mechanism is performed in a quasi-3D space via guided 3D patch matching for filling. Interpolated target objects and background layers are fused by using graph cut. It is hard to tell whether a falsified video is the original. We demonstrate the original and the falsified videos in our website at http://www.mine.tku.edu.tw/video_demo/). The proposed technique can be used to create special effects in movie industry.
  • Keywords
    graph theory; image fusion; image matching; image motion analysis; image segmentation; interpolation; object detection; target tracking; video signal processing; graph cut; guided 3D patch matching; modified mean shift mechanism; motion interpolation; motion segmentation; movie industry; object target tracking; quasi 3D space; video falsifying; video inpainting; Computer graphics; Filling; Games; Humans; Image edge detection; Image restoration; Interpolation; Motion pictures; Skeleton; Target tracking; graph cut; image completion; mean shift; motion interpolation; video inpainting; video special effect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-2242-5
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2008.4587701
  • Filename
    4587701