Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Object Extraction for Object-Oriented Applications
Journal of VLSI Signal Processing Systems
Fragment-based image completion
ACM SIGGRAPH 2003 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
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
ClickRemoval: interactive pinpoint image object removal
Proceedings of the 13th annual ACM international conference on Multimedia
Video Repairing under Variable Illumination Using Cyclic Motions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video inpainting and implant via diversified temporal continuations
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Space-Time Completion of Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
Fast object tracking using adaptive block matching
IEEE Transactions on Multimedia
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
A novel four-step search algorithm for fast block motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Exposing digital video forgery by ghost shadow artifact
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Video narrative authoring with motion inpainting
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Narrative generation by repurposing digital videos
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
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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Image inpainting or image completion is the technique that automatically restores/completes removed areas in an image. When dealing with a similar problem in video, not only should a robust tracking algorithm be used, but the temporal continuity among video frames also needs to be taken into account, especially when the video has camera motions such as zooming and tilting. In this paper, we extend an exemplar-based image inpainting algorithm by incorporating an improved patch matching strategy for video inpainting. In our proposed algorithm, different motion segments with different temporal continuity call for different candidate patches, which are used to inpaint holes after a selected video object is tracked and removed. The proposed new video inpainting algorithm produces very few "ghost shadows," which were produced by most image inpainting algorithms directly applied on video. Our experiments use different types of videos, including cartoon, video from games, and video from digital camera with different camera motions. Our demonstration at http://member.mine.tku.edu.tw/www/T_CSVT/web/shows the promising results.