Ilan, ShacharShamir, ArielSylvain Lefebvre and Michela Spagnuolo2014-12-162014-12-1620141017-4656http://dx.doi.org/10.2312/egst.20141038Image completion techniques aim to complete selected regions of an image in a natural looking manner with little or no user interaction. Video Completion, the space-time equivalent of the image completion problem, inherits and extends both the difficulties and the solutions of the original 2D problem, but also imposes new ones - mainly temporal coherency and space complexity (videos contain significantly more information than images). Datadriven approaches to completion have been established as a favored choice, especially when large regions have to be filled. In this report we present the current state-of-the-art in data-driven video completion techniques. For unacquainted researchers, we aim to provide a broad yet easy to follow introduction to the subject and early guidance to the challenges ahead. For a versed reader, we offer a comprehensive review of the contemporary techniques, sectioned out by their approaches to key aspects of the problem.I.3.3 [Computer Graphics]Picture/Image GenerationI.4.4 [Image Processing and Computer Vision]RestorationI.4.9 [Image Processing and Computer Vision]Applications