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Interactive Video Completion
October 2019 • Makoto Okabe, Keita Noda, Yoshinori Dobashi, Ken Anjyo
We propose an interactive video completion method aiming for practical use in a digital production workplace. The results of earlier automatic solutions often require a considerable amount of manual modifications to make them usable in practice. To reduce such a laborious task, our method offers an efficient editing tool. Our iterative algorithm estimates the flow fields and colors in space-time holes in the video. As in earlier approaches, our algorithm uses an L1L1 data term to estimate flow fields. However, we …
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