Data-Driven Video Completion

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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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.
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@inproceedings{
:10.2312/egst.20141038
, booktitle = {
Eurographics 2014 - State of the Art Reports
}, editor = {
Sylvain Lefebvre and Michela Spagnuolo
}, title = {{
Data-Driven Video Completion
}}, author = {
Ilan, Shachar
and
Shamir, Ariel
}, year = {
2014
}, publisher = {
The Eurographics Association
}, ISSN = {
1017-4656
}, ISBN = {}, DOI = {
/10.2312/egst.20141038
} }
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