ASIA unversity:Item 310904400/4802
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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4802


    Title: Exemplar-based Video Inpainting without Ghost Shadow Artifacts by Maintaining Temporal Continuity
    Authors: Timothy K. Shih;Nick C. Tang;Jenq-Neng Hwang
    Date: 2009-03
    Issue Date: 2009-12-03 16:31:46 (UTC+8)
    Publisher: Asia University
    Abstract: Image inpainting or image completion is the technique that automatically restores/completes removed areas in an image. When dealing with a similar problem in video, not only should a robust tracking algorithm be used, but the temporal continuity among video frames also needs to be taken into account, especially when the video has camera motions such as zooming and tilting. In this paper, we extend an exemplar-based image inpainting algorithm by incorporating an improved patch matching strategy for video inpainting. In our proposed algorithm, different motion segments with different temporal continuity call for different candidate patches, which are used to inpaint holes after a selected video object is tracked and removed. The proposed new video inpainting algorithm produces very few "ghost shadows," which were produced by most image inpainting algorithms directly applied on video. Our experiments use different types of videos, including cartoon, video from games, and video from digital camera with different camera motions. Our demonstration at http://member.mine.tku.edu.tw/www/T_CSVT/web/shows the promising results.
    Relation: IEEE Transactions on Circuits and Systems for Video Technology 19(3):347-360
    Appears in Collections:[Department of Computer Science and Information Engineering] Journal Artical

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