Dynamic Nested Tracking Graphs

Jonas Lukasczyk, Christoph Garth, Gunther H. Weber, Tim Biedert, Ross Maciejewski, Heike Leitte

Research output: Contribution to journalArticle

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 languageEnglish (US)
Article number8854335
Pages (from-to)249-258
Number of pages10
JournalIEEE Transactions on Visualization and Computer Graphics
Volume26
Issue number1
DOIs
Publication statusPublished - 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

Cite this

Lukasczyk, J., Garth, C., Weber, G. H., Biedert, T., Maciejewski, R., & Leitte, H. (2020). Dynamic Nested Tracking Graphs. IEEE Transactions on Visualization and Computer Graphics, 26(1), 249-258. [8854335]. https://doi.org/10.1109/TVCG.2019.2934368