Digital restoration of moldy aged films
ACM SIGGRAPH 2007 sketches
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
How Not to Be Seen — Object Removal from Videos of Crowded Scenes
Computer Graphics Forum
Motion characteristic differentiated error concealment
Multimedia Tools and Applications
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Existing methods for video completion typically rely on periodic color transitions, layer extraction, or temporally local motion. However, periodicity may be imperceptible or absent, layer extraction is difficult, and temporally local motion cannot handle large holes. This paper presents a new approach for video completion using motion field transfer to avoid such problems. Unlike prior methods, we fill in missing video parts by sampling spatio-temporal patches of local motion instead of directly sampling color. Once the local motion field has been computed within the missing parts of the video, color can then be propagated to produce a seamless hole-free video. We have validated our method on many videos spanning a variety of scenes. We can also use the same approach to perform frame interpolation using motion fields from different videos.