Information-theoretic Framework for Visualization

 
 

The goal of this project is to develop a quantitative data analysis framework to facilitate effective visualization of large-scale scientific data sets. By considering the process of visualization as a communication channel,  we can quantitatively model the information flow between the data input and the visualization output. With information theory as the theoretical foundation, we are developing a framework to evaluate and optimize the quality of visualization based on the information content of the input data, the visualization output, and the discrepancy between the two. The framework can systematically guide the visual analysis process by iteratively optimizing the visualization result so that the information gap between the two ends of the visual analysis pipeline be quickly narrowed.


The project is supported in part by National Science Foundation [NSF project page]  and Department of Energy

 

visualization channel

Publications on Information Theory for Visualization

Flow Analysis and Streamline Placement


Lijie Xu, Teng-Yok Lee, and Han-Wei Shen. An information-theoretic framework for flow visualization. Accepted to IEEE Transactions on Visualization and Computer Graphics, (special issue of IEEE Visualization 2010)

[ bib ][pdf]

View Selection for Time-Varying Volume Rendering


Guangfeng Ji and Han-Wei Shen. Dynamic view selection for time varying volumes. IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visualization / Information Visualization 2006), 12(5):1109-1116, 2006.

[ bib | .pdf ]

Multiresolution Volume LOD Selection


Chaoli Wang and Han-Wei Shen. LOD map: A visual interface for navigating multiresolution volume visualization. IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visualization / Information Visualization 2006), 12(5):1029-1036, 2006.

[ bib | .pdf ]


View Selection for Volume Rendering


Udeepta Bordoloi and Han-Wei Shen. View selection for volume rendering. In Vis '05: Proceedings of the IEEE Visualization 2005, pages 487-494, 2005.

[ bib | .pdf ]

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