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A Solution for Natural Video Matting

Alon Gamliel

ISBN 10: 3639142985 / ISBN 13: 9783639142983
Published by VDM Verlag
New Condition: New Soft cover
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About this Item

60 pages. Dimensions: 8.7in. x 5.9in. x 0.1in.The problem of extracting an object from an image, known as image matting, has been deeply investigated in the last two decades. Its extension to address video, i. e. , video matting, has gained less attention. This paper studies the difficulties that should be addressed when extending image matting methods to work on video. In particular we address the following problems: (i) While the required user intervention is reduced over the years, it still remains unpractical to manually provide user marks on every frame; (ii) the temporal continuity of a video sequence suggests that it may be beneficial to solve the matting equations for the entire video simultaneously. This, however, is impractical due to memory constraints; (iii) because of the huge size of input data, interactive results update is not trivially plausible. To cope with these difficulties, we exploit video continuity. Temporal continuity is used to propagate user provided hints, while spatial continuity is used to reduce the number of unknowns and the number of constraints. Finally, we apply an incremental matrix factorization to allow real-time insertion of new user-provided constraints. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639142983

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Bibliographic Details

Title: A Solution for Natural Video Matting

Publisher: VDM Verlag

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

The problem of extracting an object from an image, known as ?image matting,? has been deeply investigated in the last two decades. Its extension to address video, i.e., ?video matting,? has gained less attention. This paper studies the difficulties that should be addressed when extending image matting methods to work on video. In particular we address the following problems: (i) While the required user intervention is reduced over the years, it still remains unpractical to manually provide user marks on every frame; (ii) the temporal continuity of a video sequence suggests that it may be beneficial to solve the matting equations for the entire video simultaneously. This, however, is impractical due to memory constraints; (iii) because of the huge size of input data, interactive results update is not trivially plausible. To cope with these difficulties, we exploit video continuity. Temporal continuity is used to propagate user provided hints, while spatial continuity is used to reduce the number of unknowns and the number of constraints. Finally, we apply an incremental matrix factorization to allow real-time insertion of new user-provided constraints.

About the Author:

Alon Gamliel received the BSc degree in Computer Engineering from the Technion (Israel Institute of Technology) in 2001, and the MSc in Computer Science from Tel-Aviv University in 2007. His research interests are computer graphics, video segmentation and matting techniques.

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