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dc.contributor.authorHolmqvist, Kennethen_US
dc.contributor.authorJain, Eaktaen_US
dc.contributor.authorMeur, Olivier Leen_US
dc.contributor.authorPattanaik, Sumanta N.en_US
dc.contributor.editorAugusto Sousa and Kadi Bouatouchen_US
dc.date.accessioned2016-04-26T08:14:02Z
dc.date.available2016-04-26T08:14:02Z
dc.date.issued2016en_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttp://dx.doi.org/10.2312/egt.20161029en_US
dc.description.abstractEye movements are a reliable indicator of overt visual attention. Because multiple factors influence where people attend in images, understanding how our attention is deployed and predicting where we look at are challenging, and a subject of ongoing research across the world. This tutorial reviews 4 main points: - In the first part of the tutorial, we will discuss eye tracking methodology and methods for analyzing eye tracking data. - As we expect to soon find gaze recording devices on hand-held devices, researchers have explored the use of eye tracking as a form of implicit user input to computational algorithms. We will review existing literature, with a focus on attention-driven image, and video editing. - In parallel to these gaze contingent applications, we will present the strengths and weaknesses of computational models of visual attention, with a special emphasis on saccadic models. - Finally, we will discuss how saliency models could be used to add efficiencies to graphics applications, with a focus on compression, and rendering.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleVisual Attention from a Graphics Point of Viewen_US
dc.description.seriesinformationEG 2016 - Tutorialsen_US
dc.description.sectionheadersTutorialsen_US
dc.identifier.doi10.2312/egt.20161029en_US


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