Data-Driven Video Completion

dc.contributor.authorIlan, Shacharen_US
dc.contributor.authorShamir, Arielen_US
dc.contributor.editorSylvain Lefebvre and Michela Spagnuoloen_US
dc.date.accessioned2014-12-16T07:12:51Z
dc.date.available2014-12-16T07:12:51Z
dc.date.issued2014en_US
dc.description.abstractImage 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.en_US
dc.description.seriesinformationEurographics 2014 - State of the Art Reportsen_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/egst.20141038en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectI.4.4 [Image Processing and Computer Vision]en_US
dc.subjectRestorationen_US
dc.subjectI.4.9 [Image Processing and Computer Vision]en_US
dc.subjectApplicationsen_US
dc.titleData-Driven Video Completionen_US
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