Temporally Coherent Completion of Dynamic Video
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We present an automatic video completion algorithm that synthesizes missing regions in videos in a temporally coherent fashion.
Our algorithm can handle dynamic scenes captured using a moving camera. State-of-the-art approaches have difficulties handling
such videos because viewpoint changes cause image-space motion vectors in the missing and known regions to be inconsistent. We
address this problem by jointly estimating optical flow and color in the missing regions. Using pixel-wise forward/backward flow
fields enables us to synthesize temporally coherent colors. We formulate the problem as a non-parametric patch-based optimization.
We demonstrate our technique on numerous challenging videos.
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