• DocumentCode
    747118
  • Title

    Video Synthesis From Still Images Using 3-D Flow Models

  • Author

    Zhao, Yutao ; Liu, Yuncai

  • Author_Institution
    Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., Shanghai
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    509
  • Lastpage
    512
  • Abstract
    In this letter, we present a new approach to synthesize video from still images. The method first models 3-D flows, and then it proposes image modulation. Finally, the 3-D flow models are projected onto image planes to produce the final video. We use some results of computational flow dynamics to model the flows and propose image matting and inpainting methods that are more appropriate to our animation. Our algorithm can effectively handle still images that have flows. Experiments demonstrate that our synthesis method can produce good-looking videos.
  • Keywords
    computer animation; image sequences; video signal processing; 3-D flow models; animation; computational flow dynamics; image inpainting methods; image matting methods; image modulation; image sequences; still images; video synthesis; Animation; Character generation; Computational modeling; Computer graphics; Computer simulation; Costs; Frequency; Image analysis; Image processing; Image resolution; 3-D flow models; Computational flow dynamics; image matting and inpainting; still images; video synthesis;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.925753
  • Filename
    4539833