Visual Analysis of Popping in Progressive Visualization

dc.contributor.authorWaterink, Ethanen_US
dc.contributor.authorKosinka, Jirien_US
dc.contributor.authorFrey, Steffenen_US
dc.contributor.editorFrosini, Patrizio and Giorgi, Daniela and Melzi, Simone and Rodolà, Emanueleen_US
dc.date.accessioned2021-10-25T11:53:44Z
dc.date.available2021-10-25T11:53:44Z
dc.date.issued2021
dc.description.abstractProgressive visualization allows users to examine intermediate results while they are further refined in the background. This makes them increasingly popular when dealing with large data and computationally expensive tasks. The characteristics of how preliminary visualizations evolve over time are crucial for efficient analysis; in particular unexpected disruptive changes between iterations can significantly hamper the user experience. This paper proposes a visualization framework to analyze the refinement behavior of progressive visualization. We particularly focus on sudden significant changes between the iterations, which we denote as popping artifacts, in reference to undesirable visual effects in the context of level of detail representations in computer graphics. Our visualization approach conveys where in image space and when during the refinement popping artifacts occur. It allows to compare across different runs of stochastic processes, and supports parameter studies for gaining further insights and tuning the algorithms under consideration. We demonstrate the application of our framework and its effectiveness via two diverse use cases with underlying stochastic processes: adaptive image space sampling, and the generation of grid layouts.en_US
dc.description.sectionheadersVisualization
dc.description.seriesinformationSmart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20211485
dc.identifier.isbn978-3-03868-165-6
dc.identifier.issn2617-4855
dc.identifier.pages151-162
dc.identifier.urihttps://doi.org/10.2312/stag.20211485
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20211485
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectVisualization design and evaluation methods
dc.titleVisual Analysis of Popping in Progressive Visualizationen_US
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