Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | Scalable Integration of Analytics and Visualization - Papers from the 2011 AAAI Workshop, Technical Report |
| Pages | 51-53 |
| Number of pages | 3 |
| Volume | WS-11-17 |
| State | Published - Nov 2 2011 |
| Event | 2011 AAAI Workshop - San Francisco, CA, United States Duration: Aug 7 2011 → Aug 7 2011 |
Other
| Other | 2011 AAAI Workshop |
|---|---|
| Country | United States |
| City | San Francisco, CA |
| Period | 8/7/11 → 8/7/11 |
ASJC Scopus subject areas
- Engineering(all)
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Cite this
Wu, Y., & Ma, K-L. (2011). Scalable visualization resizing framework. In Scalable Integration of Analytics and Visualization - Papers from the 2011 AAAI Workshop, Technical Report (Vol. WS-11-17, pp. 51-53)