Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fragment-based image completion
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2004 Papers
Motion Layer Based Object Removal in Videos
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
ACM SIGGRAPH 2005 Papers
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
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In this paper, we present a system for completing the blank hole in an image list or a video sequence, which can be used in movie-making industry to produce some special montage effect. To achieve this, we apply a 3D coordinate to depict the video clip. As the time information representing different frames is considered, the available information is enriched than the single image. Our method takes the global character into account for avoiding visual inconsistencies. We view the video completion problem as a labeling problem and apply the belief propagation algorithm to minimize the energy defined on the label graph. By measuring the similarity between source and target patches, we could discover the appropriate patch to fill the hole. Furthermore, we introduce some techniques to speedup the belief propagation algorithm for gaining better performance efficiency. Examples demonstrate the effectiveness of our approach and the results are encouraging.