Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Repairing under Variable Illumination Using Cyclic Motions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Full-Frame Video Stabilization with Motion Inpainting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Completion by Motion Field Transfer
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Video Completion for Perspective Camera Under Constrained Motion
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Space-Time Completion of Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Background estimation from non-time sequence images
GI '08 Proceedings of graphics interface 2008
Efficient object-based video inpainting
Pattern Recognition Letters
PatchMatch: a randomized correspondence algorithm for structural image editing
ACM SIGGRAPH 2009 papers
Video SnapCut: robust video object cutout using localized classifiers
ACM SIGGRAPH 2009 papers
Exemplar-based video inpainting without ghost shadow artifacts by maintaining temporal continuity
IEEE Transactions on Circuits and Systems for Video Technology
Video object inpainting using posture mapping
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
MIRAGE'11 Proceedings of the 5th international conference on Computer vision/computer graphics collaboration techniques
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
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
Towards fast, generic video inpainting
Proceedings of the 10th European Conference on Visual Media Production
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Removing dynamic objects from videos is an extremely challenging problem that even visual effects professionals often solve with time-consuming manual frame-by-frame editing. We propose a new approach to video completion that can deal with complex scenes containing dynamic background and non-periodical moving objects. We build upon the idea that the spatio-temporal hole left by a removed object can be filled with data available on other regions of the video where the occluded objects were visible. Video completion is performed by solving a large combinatorial problem that searches for an optimal pattern of pixel offsets from occluded to unoccluded regions. Our contribution includes an energy functional that generalizes well over different scenes with stable parameters, and that has the desirable convergence properties for a graph-cut-based optimization. We provide an interface to guide the completion process that both reduces computation time and allows for efficient correction of small errors in the result. We demonstrate that our approach can effectively complete complex, high-resolution occlusions that are greater in difficulty than what existing methods have shown. © 2012 Wiley Periodicals, Inc.