Abstract
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.
Original language | English (US) |
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Article number | 8854335 |
Pages (from-to) | 249-258 |
Number of pages | 10 |
Journal | IEEE Transactions on Visualization and Computer Graphics |
Volume | 26 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2020 |
Keywords
- Feature Tracking
- Image Databases
- Nested Tracking Graphs
- Post Hoc Visual Analytics
- Topological Data Analysis
ASJC Scopus subject areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Computer Graphics and Computer-Aided Design