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Visualization of GTD and Multimedia

Visualization of GTD and Multimedia. Remco Chang Charlotte Visualization Center UNC Charlotte. Visual GTD Flow Chart. Entity Relationships (Geo-temporal Vis). Dimensional Relationships ( ParallelSets ). Entity Analysis (Search By Example). WHO – Terrorist Groups.

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Visualization of GTD and Multimedia

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  1. Visualization of GTD and Multimedia Remco Chang Charlotte Visualization Center UNC Charlotte

  2. Visual GTD Flow Chart Entity Relationships (Geo-temporal Vis) Dimensional Relationships (ParallelSets) Entity Analysis (Search By Example)

  3. WHO – Terrorist Groups Five Flexible Entry Components What WHERE~ WHEN

  4. Seeing Patterns… FARC showing an outlier Unusual temporal pattern of NPA

  5. Parallel Sets View Parallel Sets Displays relationships among categorical dimensions Shows intersections and distributions of categories

  6. Parallel Sets View Dynamic filtering on continuous dimensions can show more information Here we see the large proportion of facility attacks and bombings in Latin America during the early 1980s

  7. ParallelSets - Framing

  8. Entity Comparison Uses the algorithm “Longest Common Subsequence” (LCS) to identify similar patterns

  9. Grouping using MDS in 2D Each o represents a terrorist group Groups form cluster according to naturally occurring trend sizes Clusters are easily visible MDS Analysis by Country

  10. Auto Video Extraction

  11. Multimedia Visual Analysis

  12. Concept Graph

  13. Video Analysis Example • News contains view points and opinions • Find local, regional, national, and international reports of the same event to get a complete picture CNN Fox News MSNBC

  14. News Lens

  15. Integrating Terrorism Data Analysisand News Analysis Terrorism Visual Analysis Terrorism Databases Terrorism VA Jigsaw NVAC Stab/ TIBOR Reasoning Environment Framing, Affective Analysis Broadcast VA News Visual Analysis News Story Databases

  16. Future Work • Event-based video analysis • Smart Visual GTD • Collaboration with Daniel Kiem (Univ Konstanz, Germany) • Multimedia Analysis • Collaboration with PNNL (A. Sanfilipo, W. Pike) • Analyzes (layout of) webpages, videos, images, and unstructured texts. • Tracking temporal changes

  17. Questions? Thank you! rchang@uncc.edu http://viscenter.uncc.edu

  18. Backup

  19. Entity Comparison Two strings of data (each representing a series of events) GATCCAGT GTACACTGAG Basic algorithm returns length of longest common subsequence: 6 Can return trace of subsequence if desired: GTCCAG GATCCAGT GTACACTGAG Additional variations can take into account event gap penalties, time gap penalties, and exploration of shorter, or alternate, common subsequences

  20. ParallelSets - Framing

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