Removing label ambiguity in learning-based visual saliency estimation

Removing label ambiguity in learning-based visual saliency estimation

Visual saliency is a useful clue to depict visually important image/video contents in many multimedia applications. In visual saliency estimation, a feasible solution is to learn a “feature-saliency” mapping model from the user data obtained by manually labeling activities or eye-tracking devices. H...

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Bibliographic Details
Main Authors: Li, Jia, Xu, Dong, Gao, Wen
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Online Access:https://hdl.handle.net/10356/99020
http://hdl.handle.net/10220/13473

Internet

https://hdl.handle.net/10356/99020
http://hdl.handle.net/10220/13473

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