Efficient object-based video inpainting
Pattern Recognition Letters
Video completion via motion guided spatial-temporal global optimization
MM '09 Proceedings of the 17th ACM international conference on Multimedia
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Video object inpainting using posture mapping
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Generation of an omnidirectional video without invisible areas using image inpainting
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
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
Interactive image completion with perspective constraint
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
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This paper presents a novel technique to fill in missing background and moving foreground of a video captured by a static or moving camera. Different from previous efforts which are typically based on processing in the 3D data volume, we slice the volume along the motion manifold of the moving object, and therefore reduce the search space from 3D to 2D, while still preserve the spatial and temporal coherence. In addition to the computational efficiency, based on geometric video analysis, the proposed approach is also able to handle real videos under perspective distortion, as well as common camera motions, such as panning, tilting, and zooming. The experimental results demonstrate that our algorithm performs comparably to 3D search based methods, and however extends the current state-of-the-art repairing techniques to videos with projective effects, as well as illumination changes.