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Video Synthesis From Still Images Using 3-D Flow Models

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2 Author(s)
Yutao Zhao ; Inst. of Image Process. & Pattern Recognition, Shanghai Jiaotong Univ., Shanghai ; Yuncai Liu

In this letter, we present a new approach to synthesize video from still images. The method first models 3-D flows, and then it proposes image modulation. Finally, the 3-D flow models are projected onto image planes to produce the final video. We use some results of computational flow dynamics to model the flows and propose image matting and inpainting methods that are more appropriate to our animation. Our algorithm can effectively handle still images that have flows. Experiments demonstrate that our synthesis method can produce good-looking videos.

Published in:

IEEE Signal Processing Letters  (Volume:15 )