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dc.contributor.authorCorput, Paul van deren_US
dc.contributor.authorWijk, Jarke J. vanen_US
dc.contributor.editorHeer, Jeffrey and Ropinski, Timo and van Wijk, Jarkeen_US
dc.date.accessioned2017-06-12T05:22:44Z
dc.date.available2017-06-12T05:22:44Z
dc.date.issued2017
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13188
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13188
dc.description.abstractDigital image collections contain a wealth of information, which for instance can be used to trace illegal activities and investigate criminal networks. We present a method that enables analysts to reveal relations among people, based on the patterns in their collections. Similar temporal and spatial patterns can be found using a parameterized algorithm, visualization is used to choose the right parameters and to inspect the patterns found. The visualization shows relations between image properties: the person it belongs to, the concepts in the image, its time stamp and location. We demonstrate the method with image collections of 10;000 people containing 460;000 images in total.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH5.2 [Information Systems]
dc.subjectUser Interfaces
dc.subjectGraphical user interfaces H5.2 [Information Systems]
dc.subjectUser Interfaces
dc.subjectInteraction styles
dc.titleComparing Personal Image Collections with PICTuReVisen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersApplications and Design Studies
dc.description.volume36
dc.description.number3
dc.identifier.doi10.1111/cgf.13188
dc.identifier.pages295-304


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  • 36-Issue 3
    EuroVis 2017 - Conference Proceedings

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