Memento: Localized Time‐Warping for Spatio‐Temporal Selection

dc.contributor.authorSolteszova, V.en_US
dc.contributor.authorSmit, N. N.en_US
dc.contributor.authorStoppel, S.en_US
dc.contributor.authorGrüner, R.en_US
dc.contributor.authorBruckner, S.en_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2020-05-22T12:24:42Z
dc.date.available2020-05-22T12:24:42Z
dc.date.issued2020
dc.description.abstractInteraction techniques for temporal data are often focused on affecting the spatial aspects of the data, for instance through the use of transfer functions, camera navigation or clipping planes. However, the temporal aspect of the data interaction is often neglected. The temporal component is either visualized as individual time steps, an animation or a static summary over the temporal domain. When dealing with streaming data, these techniques are unable to cope with the task of re‐viewing an interesting local spatio‐temporal event, while continuing to observe the rest of the feed. We propose a novel technique that allows users to interactively specify areas of interest in the spatio‐temporal domain. By employing a time‐warp function, we are able to slow down time, freeze time or even travel back in time, around spatio‐temporal events of interest. The combination of such a (pre‐defined) time‐warp function and brushing directly in the data to select regions of interest allows for a detailed review of temporally and spatially localized events, while maintaining an overview of the global spatio‐temporal data. We demonstrate the utility of our technique with several usage scenarios.en_US
dc.description.number1
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume39
dc.identifier.doi10.1111/cgf.13763
dc.identifier.issn1467-8659
dc.identifier.pages231-243
dc.identifier.urihttps://doi.org/10.1111/cgf.13763
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13763
dc.publisher© 2020 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectinteraction
dc.subjecttemporal data
dc.subjectvisualization
dc.subjectspatio‐temporal projection
dc.subject• Human‐centred computing → Visualization techniques
dc.subjectScientific visualization
dc.subject• Mathematics of computing → Time series analysis
dc.titleMemento: Localized Time‐Warping for Spatio‐Temporal Selectionen_US
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