Exemplar-based video inpainting without ghost shadow artifacts by maintaining temporal continuity

Timothy K. Shih, Nick C. Tang, Jenq Neng Hwang

研究成果: 雜誌貢獻期刊論文同行評審

67 引文 斯高帕斯(Scopus)

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.

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文章編號4783052
頁(從 - 到)347-360
頁數14
期刊IEEE Transactions on Circuits and Systems for Video Technology
19
發行號3
DOIs
出版狀態已出版 - 3月 2009

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