Exemplar-based Video Inpainting without Ghost Shadow Artifacts by Maintaining Temporal Continuity

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題名:	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
上傳時間:	2009-12-03 08:31:46 (UTC+0)
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 http://member.mine.tku.edu.tw/www/T_CSVT/web/shows the promising results.
關聯:	IEEE Transactions on Circuits and Systems for Video Technology 19(3):347-360
顯示於類別:	[資訊工程學系] 期刊論文

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