Time-Varying Data Analysis and Visualization
One major factor that is contributing to the growth of data size is the increasingly widespread ability to perform very large scale time-varying simulations. Although intensive research has been undertaken to optimize the performance of visualizing very large data sets, there remain many challenges for us to perform thorough analysis for large scale time-varying data sets. For the past ten years, the GRAVITY Research Group has strived to perform a comprehensive study of end-to-end solutions to facilitate efficient and effective analysis of large-scale time-varying data. The focus of our research include:
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✦ Temporal Trend Analysis and Visualization
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✦ Time-Varying Feature Tracking
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✦ Transfer Function Design for Time-Varying Volume Rendering
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✦ Efficient Rendering of Time-Varying Data
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✦ Data Representations and Indexing for Time-Varying Data
Publications on Time-Varying Data Analysis and Visualization
Trend Analysis and Visualization
Time-Varying Feature Tracking
Feature Correspondence
Guangfeng Ji and Han-Wei Shen. Efficient isosurface tracking using precomputed correspondence table. In Proceedings of the Eurographics/IEEE VGTC Symposium on Visualization 2004, pages 283-292, 2004.
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Rendering of Time-Varying Data
Time-Varying Data in Medical Applications
Teng-Yok Lee, Abon Chaudhuri, Fatih Poikli, and Han-Wei Shen March 2010. Cyclestack: Inferring periodic behavior via temporal sequenc visualization in ultrasound video. In PacificVis '10: Proceedings of IEEE Pacific Visualization Sympoisum 2010, pages 89-96, Mar. 2010.
Interactive Storyboard
Aidong Lu and Han-Wei Shen. Interactive storyboard for overall time-varying data visualization. In PacificVis '08: Proceedings of IEEE Pacific Visualization Symposium 2008, pages 143-150, 2008.
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Comparative Visualization
Jonathan Woodring and Han-Wei Shen. Multi-variate, time varying, and comparative visualization with contextual cues. IEEE Transactions on Visualization and Computer Graphics (Proceedings of the Visualization / Information Visualization 2006), 12(5):909-916, 2006.
High Dimensional Volume Rendering
Jonathan Woodring, Chaoli Wang, and Han-Wei Shen. High dimensional direct rendering of time-varying volumetric data. In Vis '03: Proceedings of the IEEE Visualization 2003, pages 417-424, 2003.
Jonathan Woodring and Han-Wei Shen. Chronovolumes: a direct rendering technique for visualizing time-varying data. In VG '03: Proceedings of the Eurographics/IEEE VGTC Workshop on Volume Graphics 2003, pages 27-34. ACM Press New York, NY, USA, 2003.
Data Representations and Indexing
Wavelets and Multiresolution Data Hierarchy
Chaoli Wang, Jinzhu Gao, Liya Li, and Han-Wei Shen. A multiresolution volume rendering framework for large-scale time-varying data visualization. In VG '05: Proceedings of the Eurographics/IEEE VGTC Workshop on Volume Graphics 2005, pages 11-19, 2005.
Visibility Culling
Jinzhu Gao, Han-Wei Shen, Jian Huang, and James Arthur Kohl. Visibility culling for time-varying volume rendering using temporal occlusion coherence. In Vis '04: Proceedings of the IEEE Visualization 2004, pages 147-154. IEEE Computer Society Washington, DC, USA, 2004.
Accelerated Hardware Volume Rendering
David Ellsworth, Ling-Jen Chiang, and Han-Wei Shen. Accelerating time-varying hardware volume rendering using tsp trees and color-based error metrics. In Proceedings of the IEEE Symposium on Volume Visualization 2000, pages 119-128. ACM Press New York, NY, USA, 2000.
Time-Space Partitioning Trees
Han-Wei Shen, Ling-Jen Chiang, and Kwan-Liu Ma. A fast volume rendering algorithm for time-varying fields using a time-space partitioning (tsp) tree. In Vis '99: Proceedings of the IEEE Visualization 1999, pages 371-377. IEEE Computer Society Press Los Alamitos, CA, USA, 1999.
