Video Inpainting of Complex Scenes
Alasdair Newson, Andr\'es Almansa (LTCI), Matthieu Fradet, Yann, Gousseau, Patrick P\'erez

TL;DR
This paper introduces a fast, automatic video inpainting algorithm capable of handling complex scenes with dynamic textures and multiple moving objects, requiring minimal manual input and producing high-quality results on high-definition videos.
Contribution
The proposed method is a global, patch-based optimization algorithm that outperforms existing techniques in speed and versatility, handling a wider range of challenging video scenarios without segmentation or manual input.
Findings
Achieves an order of magnitude faster processing than state-of-the-art methods.
Handles complex scenes with dynamic textures and multiple moving objects.
Produces high-quality inpainting results on high-definition videos.
Abstract
We propose an automatic video inpainting algorithm which relies on the optimisation of a global, patch-based functional. Our algorithm is able to deal with a variety of challenging situations which naturally arise in video inpainting, such as the correct reconstruction of dynamic textures, multiple moving objects and moving background. Furthermore, we achieve this in an order of magnitude less execution time with respect to the state-of-the-art. We are also able to achieve good quality results on high definition videos. Finally, we provide specific algorithmic details to make implementation of our algorithm as easy as possible. The resulting algorithm requires no segmentation or manual input other than the definition of the inpainting mask, and can deal with a wider variety of situations than is handled by previous work. 1. Introduction. Advanced image and video editing techniques are…
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