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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/4802


    题名: Exemplar-based Video Inpainting without Ghost Shadow Artifacts by Maintaining Temporal Continuity
    作者: Timothy K. Shih;Nick C. Tang;Jenq-Neng Hwang
    日期: 2009-03
    上传时间: 2009-12-03 16:31:46 (UTC+8)
    出版者: Asia University
    摘要: 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 the promising results.
    關聯: IEEE Transactions on Circuits and Systems for Video Technology 19(3):347-360
    显示于类别:[資訊工程學系] 期刊論文


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