As the production of stereoscopic content increases, so does the need for post-production tools for that content. Video inpainting has become an important tool for rig removal, but there has been little consideration of the problem in stereo. We present an algorithm for stereo-video inpainting that builds on existing exemplar-based video completion and also considers the issues of view consiste...

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 ...

Inpainting methods attempt to reconstruct lost or destroyed image information as plausibly and sensibly to the human eye as possible. Information from the neighboring area is extrapolated into unkown image regions. This technique is also employed in view synthesis for 3D videos as well. Warping given scene views to other viewingpoints causes disocclusion artifacts to occur in the synthesized im...

Video inpainting consists in recovering the missing or corrupted parts of an image sequence so that the reconstructed sequence looks natural. For each frame, the reconstruction has to be spatially coherent with the rest of the image and temporally with respect to the reconstructions of adjacent frames. Most of existing methods only focus on inpainting foreground objects moving with a periodic m...

In this paper we present a fast video inpainting technique to infer the unknown information in the target region by maximizing box-based selfsimilarity and coherence measure. The video inpainting is already proposed in the literature and some of them are able to produce good quality results. However, the bottleneck of those algorithms is they are painfully slow. Here we fill the texture in the ...