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 $L^1$L1 data term to estimate flow fields. However, we employ a novel $L^2$L2 data term to estimate temporally coherent color transitions. Our graphics processing unit implementation enables the user to interactively complete a video by drawing holes and immediately removes objects from the video. In addition, our method successfully interpolates sparse modifications initialized by the designer. According to our subjective evaluation, the videos completed with our method look significantly better than those with other state-of-the-art approaches.

中文翻译：

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交互式视频补全

我们提出了一种交互式视频完成方法，旨在在数字制作工作场所中实际使用。早期自动解决方案的结果通常需要大量的手动修改才能在实践中使用。为了减少如此繁重的任务，我们的方法提供了一种有效的编辑工具。我们的迭代算法估计视频中时空洞中的流场和颜色。与之前的方法一样，我们的算法使用 $L^1$L1 数据项来估计流场。然而，我们采用了一个新的 $L^2$L2 数据项来估计时间上相干的颜色转换。我们的图形处理单元实现使用户能够通过画孔交互式地完成视频并立即从视频中删除对象。此外，我们的方法成功地插入了由设计者初始化的稀疏修改。根据我们的主观评估，使用我们的方法完成的视频看起来明显优于使用其他最先进方法的视频。