Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/48604
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dc.titleVISUAL SALIENCY ANALYSIS AND APPLICATIONS
dc.contributor.authorNGUYEN VAN TAM
dc.date.accessioned2013-12-31T18:00:17Z
dc.date.available2013-12-31T18:00:17Z
dc.date.issued2013-08-01
dc.identifier.citationNGUYEN VAN TAM (2013-08-01). VISUAL SALIENCY ANALYSIS AND APPLICATIONS. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/48604
dc.description.abstractVisual saliency refers to the preferential fixation on conspicuous or meaningful regions in a scene that have also been shown to correspond with important objects and their relationships. It is naturally built into the complex biological system to rapidly detect potential prey, predators, or mates in the real world. Visual saliency is also crucial for human visual experience and also relevant to many applications. Visual attention - particularly stimulus-driven, saliency-based attention - has been an active research field over the past decades. Many attention models are now available, which aside from lending theoretical contributions to other research areas, have given rise to successful applications in computer vision, mobile robotics, and cognitive systems. This thesis makes contributions on four aspects of visual saliency analysis, namely image re-attentionizing, 3d saliency, video saliency prediction, and action recognition. Each contribution has outperformed the state-of-the-art methods in different problems and validated the effectiveness of visual saliency. Beyond the aforementioned directions, we foresee more applications of visual saliency in image classification, image collage, video summarization and avatar thumbnailing.
dc.language.isoen
dc.subjectvisual saliency, applications, dynamic saliency, static saliency, action recognition, image re-attentionizing
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorYAN SHUICHENG
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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