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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37127


    Title: Video Inpainting and Implant via Diversified Temporal Continuations
    Authors: Shih, Timothy K.;Tang, Nick C.;Yeh, Wei-Sung;Chen, Ta-Jen
    Contributors: 淡江大學資訊工程學系
    Keywords: Video Inpainting;Object Removal;Video Implant;Temporal Continuations;Object Tracking
    Date: 2006-10
    Issue Date: 2010-01-11 12:26:18 (UTC+8)
    Abstract: Recent interesting issues in video inpainting are defect removal and object removal. We take one more step to replace the removed objects in a video sequence by implanting objects from another video. Before implant, we improve an exemplar-based image inpainting algorithm by using a new patch matching strategy which incorporates edge properties. The data term used in a priority computation of candidate patches is also redefined. We take varieties of temporal continuations of foreground and background into consideration. A motion compensated inpainting procedure is then proposed. The inpainted video backgrounds are visually pleasant with smooth transitions. A simple tracking algorithm is then used to produce a foreground video, which is implanted into the inpainted background video. Our results are available at http://www.mine.tku.edu.tw/inpainting.
    Relation: ACM Multimedia, USA
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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