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Handling uncertainty in video analysis with spatiotemporal visual attention

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dc.contributor.author Rapantzikos, K en
dc.contributor.author Avrithis, Y en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T02:43:21Z
dc.date.available 2014-03-01T02:43:21Z
dc.date.issued 2005 en
dc.identifier.issn 10987584 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31354
dc.subject Computer Vision en
dc.subject Scene Understanding en
dc.subject Video Analysis en
dc.subject Visual Attention en
dc.subject.other Classification (of information) en
dc.subject.other Computer vision en
dc.subject.other Eye movements en
dc.subject.other Image segmentation en
dc.subject.other Vision en
dc.subject.other Visual communication en
dc.subject.other Natural vision en
dc.subject.other Spatiotemporal information en
dc.subject.other Video analysis en
dc.subject.other Visual attention (VA) en
dc.subject.other Video signal processing en
dc.title Handling uncertainty in video analysis with spatiotemporal visual attention en
heal.type conferenceItem en
heal.identifier.primary 10.1109/FUZZY.2005.1452395 en
heal.identifier.secondary http://dx.doi.org/10.1109/FUZZY.2005.1452395 en
heal.publicationDate 2005 en
heal.abstract In natural vision, we center our fixation on the most informative points in a scene in order to reduce our overall uncertainty about the scene and help interpret it. Even if we are looking for a specific stimulus around us, we face a great amount of uncertainty since that stimulus could be in any spatial location. Visual attention (VA) schemes have been proposed by researchers to account for the ability of the human eye to quickly fixate on informative regions. Recently, VA in images, and especially saliency-based VA, became an active research topic of the computer vision community. The proposed work provides an extension towards VA in video sequences by integrating spatiotemporal information. The potential applications include video classification, scene understanding, surveillance and segmentation. © 2005 IEEE. en
heal.journalName IEEE International Conference on Fuzzy Systems en
dc.identifier.doi 10.1109/FUZZY.2005.1452395 en
dc.identifier.spage 213 en
dc.identifier.epage 217 en


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