Data-Driven Video Completion
| dc.contributor.author | Ilan, Shachar | en_US |
| dc.contributor.author | Shamir, Ariel | en_US |
| dc.contributor.editor | Sylvain Lefebvre and Michela Spagnuolo | en_US |
| dc.date.accessioned | 2014-12-16T07:12:51Z | |
| dc.date.available | 2014-12-16T07:12:51Z | |
| dc.date.issued | 2014 | en_US |
| dc.description.abstract | 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). 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.seriesinformation | Eurographics 2014 - State of the Art Reports | en_US |
| dc.identifier.issn | 1017-4656 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/egst.20141038 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | I.3.3 [Computer Graphics] | en_US |
| dc.subject | Picture/Image Generation | en_US |
| dc.subject | I.4.4 [Image Processing and Computer Vision] | en_US |
| dc.subject | Restoration | en_US |
| dc.subject | I.4.9 [Image Processing and Computer Vision] | en_US |
| dc.subject | Applications | en_US |
| dc.title | Data-Driven Video Completion | en_US |
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