Dynamic Nested Tracking Graphs
This work describes an approach for the interactive visual analysis of large-scale simulations, where numerous superlevel set components and their evolution are of primary interest. The approach first derives, at simulation runtime, a specialized Cinema database that consists of images of component...
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| Veröffentlicht in: | IEEE transactions on visualization and computer graphics 2020-01, Vol.26 (1), p.249-258 |
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| container_title | IEEE transactions on visualization and computer graphics |
| container_volume | 26 |
| creator | Lukasczyk, Jonas Garth, Christoph Weber, Gunther H. Biedert, Tim Maciejewski, Ross Leitte, Heike |
| description | This work describes an approach for the interactive visual analysis of large-scale simulations, where numerous superlevel set components and their evolution are of primary interest. The approach first derives, at simulation runtime, a specialized Cinema database that consists of images of component groups, and topological abstractions. This database is processed by a novel graph operation-based nested tracking graph algorithm (GO-NTG) that dynamically computes NTGs for component groups based on size, overlap, persistence, and level thresholds. The resulting NTGs are in turn used in a feature-centered visual analytics framework to query specific database elements and update feature parameters, facilitating flexible post hoc analysis. |
| doi_str_mv | 10.1109/TVCG.2019.2934368 |
| format | Article |
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| subjects | Algorithms Analytical models Computational modeling Computer simulation Feature Tracking Image Databases MATHEMATICS AND COMPUTING Motion pictures Nested Tracking Graphs Post Hoc Visual Analytics Task analysis Topological Data Analysis Tracking Vegetation Visual analytics |
| title | Dynamic Nested Tracking Graphs |
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