artVIS: an interactive visualization for painting collections

作者: Michael Burch , Uwe Kloos , Denise Junger , Isabel Hagen , Robin Horst

DOI: 10.1145/3105971.3105989

关键词: Computer scienceVisitor patternGroup method of data handlingVisualizationMultimediaData typePaintingInteractive visualization

摘要: Painting galleries typically provide a wealth of data composed several types. Those multivariate are too complex for laymen like museum visitors to first, get an overview about all paintings and look specific categories. Finally, the goal is guide visitor painting that he wishes have more closer on. In this paper we describe interactive visualization tool first provides such lets people experiment with than 41,000 collected in web gallery art. To generate tool, our technique different steps handling, algorithmic transformations, visualizations, interactions, human user working detect insights provided data. We illustrate usefulness by applying it characteristic show how one can from paintings.

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