A Survey on Data‐Driven Video Completion

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dc.contributor.authorIlan, S.en_US
dc.contributor.authorShamir, A.en_US
dc.contributor.editorDeussen, Oliver and Zhang, Hao (Richard)en_US
dc.date.accessioned2015-10-12T13:32:45Z
dc.date.available2015-10-12T13:32:45Z
dc.date.issued2015en_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). Data‐driven approaches to completion have been established as a favoured choice, especially when large regions have to be filled. In this survey, 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 (including an extensive review of the image completion foundations) 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.Image 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). Data‐driven approaches to completion have been established as a favoured choice, especially when large regions have to be filled. In this survey, 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 (including an extensive review of the image completion foundations) 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.documenttypestar
dc.description.number6en_US
dc.description.sectionheadersArticlesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12518en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12518en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.1111/cgf12518
dc.publisherCopyright © 2015 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectcomputational photographyen_US
dc.subjectimage/video editingen_US
dc.subjectimage/video completionen_US
dc.subjectinpaintingen_US
dc.subjectobject removalen_US
dc.subjectrig removalen_US
dc.subjectvideo repairingen_US
dc.subjectI.3.3 [Computer Graphics]: Picture/Image Generation; I.4.4 [Image Processing and Computer Vision]: Restoration; I.4.9 [Image Processing and Computer Vision]: Applications—en_US
dc.titleA Survey on Data‐Driven Video Completionen_US
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