作者: Michael Burch , Uwe Kloos , Denise Junger , Isabel Hagen , Robin Horst
关键词: Computer science 、 Visitor pattern 、 Group method of data handling 、 Visualization 、 Multimedia 、 Data type 、 Painting 、 Interactive 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.