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artVIS: an interactive visualization for painting collections

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

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Metadaten
Name:Kloos, Uwe; Junger, Denise; Hagen, Isabel; Horst, Robin; Brand, Lukas; Weinert, Benjamin
DOI:https://doi.org/10.1145/3105971.3105989
ISBN:978-1-4503-5292-5
Erschienen in:Proceedings of the 10th International Symposium on Visual Information Communication and Interaction
Publisher:ACM
Place of publication:New York, NY
Editor:Robert Biuk-Aghai
Document Type:Conference Proceeding
Language:English
Year of Publication:2017
Pagenumber:4
First Page:109
Last Page:112
Dewey Decimal Classification:004 Informatik
Open Access:Nein
Licence (English):License Logo  Lizenzbedingungen ACM