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dc.contributor.authorSacha, Dominiken_US
dc.contributor.authorAl-Masoudi, Feerasen_US
dc.contributor.authorStein, Manuelen_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.authorKeim, Daniel A.en_US
dc.contributor.authorAndrienko, Gennadyen_US
dc.contributor.authorJanetzko, Halldóren_US
dc.contributor.editorHeer, Jeffrey and Ropinski, Timo and van Wijk, Jarkeen_US
dc.date.accessioned2017-06-12T05:22:45Z
dc.date.available2017-06-12T05:22:45Z
dc.date.issued2017
dc.identifier.issn1467-8659
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.13189
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13189
dc.description.abstractTrajectory-based visualization of coordinated movement data within a bounded area, such as player and ball movement within a soccer pitch, can easily result in visual crossings, overplotting, and clutter. Trajectory abstraction can help to cope with these issues, but it is a challenging problem to select the right level of abstraction (LoA) for a given data set and analysis task. We present a novel dynamic approach that combines trajectory simplification and clustering techniques with the goal to support interpretation and understanding of movement patterns. Our technique provides smooth transitions between different abstraction types that can be computed dynamically and on-the-fly. This enables the analyst to effectively navigate and explore the space of possible abstractions in large trajectory data sets. Additionally, we provide a proof of concept for supporting the analyst in determining the LoA semi-automatically with a recommender system. Our approach is illustrated and evaluated by case studies, quantitative measures, and expert feedback. We further demonstrate that it allows analysts to solve a variety of analysis tasks in the domain of soccer.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectLine and curve generation
dc.subjectI.3.6 [Computer Graphics]
dc.subjectMethodology and Techniques
dc.subjectInteraction techniques H.5.2 [Information Interfaces and Presentation]
dc.subjectUser Interfaces
dc.subjectUser
dc.subjectcentered design
dc.titleDynamic Visual Abstraction of Soccer Movementen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersApplications and Design Studies
dc.description.volume36
dc.description.number3
dc.identifier.doi10.1111/cgf.13189
dc.identifier.pages305-315


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  • 36-Issue 3
    EuroVis 2017 - Conference Proceedings

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