AAAI Publications, Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence

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Scalable Visualization Resizing Framework
Yingcai Wu, Kwan-Liu Ma

Last modified: 2011-08-24


Effective visualization resizing is important for many visualization tasks, where users may have display devices with different sizes and aspect ratios. Our recently designed framework can adapt a visualization to different displays by transforming the resizing problem into a non-linear optimization problem. However, it is not scalable to a large amount of dense information. Undesired cluttered results would be produced if dense information is presented in the target display. We present an extension to our resizing framework with a seamless integration of a sampling-based data abstraction mechanism, such that it is scalable with not only different display sizes, but also different amounts of information.

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