Video Repairing under Variable Illumination Using Cyclic Motions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Completion for Perspective Camera Under Constrained Motion
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Skeleton Pruning by Contour Partitioning with Discrete Curve Evolution
IEEE Transactions on Pattern Analysis and Machine Intelligence
Space-Time Completion of Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning atomic human actions using variable-length Markov models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
Video Inpainting Under Constrained Camera Motion
IEEE Transactions on Image Processing
How Not to Be Seen — Object Removal from Videos of Crowded Scenes
Computer Graphics Forum
Background inpainting for videos with dynamic objects and a free-moving camera
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
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This paper presents a novel framework for object-based video inpainting. To complete an occluded object, our method first samples a 3-D volume of the video into directional spatio-temporal slices, and then performs patch-based image inpainting to repair the partially damaged object trajectories in the 2-D slices. The completed slices are subsequently combined to obtain a sequence of virtual contours of the damaged object. The virtual contours and a posture sequence retrieval technique are then used to retrieve the most similar sequence of object postures in the available nonoccluded postures. Key-posture selection and indexing are performed to reduce the complexity of posture sequence retrieval. We also propose a synthetic posture generation scheme that enriches the collection of key-postures so as to reduce the effect of insufficient key-postures. Our experimental results demonstrate that the proposed method can maintain the spatial consistency and temporal motion continuity of an object simultaneously.