Removing label ambiguity in learning-based visual saliency estimation

• Main Authors: Li, Jia, Xu, Dong, Gao, Wen
• Other Authors: School of Computer Engineering
• Format: 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
• Institution: Nanyang Technological University

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...