Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | DMS 2009 - 15th International Conference on Distributed Multimedia Systems |
| Pages | 307-310 |
| Number of pages | 4 |
| ISBN (electronic) | 189170625X |
| Publication status | Published - 1 Jan 2009 |
| Event | 15th International Conference on Distributed Multimedia Systems, DMS 2008 - Boston, United States Duration: 10 Sept 2009 → 12 Sept 2009 |
Publication series
| Name | Proceedings: DMS 2009 - 15th International Conference on Distributed Multimedia Systems |
|---|
Abstract
In many applications it is of high interest to analyze spatio- temporal (ST) datasets for recurring patterns. In our approach we examine spatio-temporal datasets for movement patterns using efficient query techniques. In an iterative process combining search and interaction an expert can review search results and either draw direct conclusions and annotate the pattern or refine the search pattern. The key feature of the approach is that patterns are not specified in advance but established from the data set.Futhermore, they can occur in multiple levels of detail, thus are designed to be scale invariant.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Graphics and Computer-Aided Design
- Computer Science(all)
- Human-Computer Interaction
- Computer Science(all)
- Software
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Proceedings: DMS 2009 - 15th International Conference on Distributed Multimedia Systems. 2009. p. 307-310 (Proceedings: DMS 2009 - 15th International Conference on Distributed Multimedia Systems).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Visual interactive exploration of Spatio-temporal patterns
AU - Rudnicki, Radoslaw
AU - Sester, Monika
AU - Paelke, Volker
PY - 2009/1/1
Y1 - 2009/1/1
N2 - In many applications it is of high interest to analyze spatio- temporal (ST) datasets for recurring patterns. In our approach we examine spatio-temporal datasets for movement patterns using efficient query techniques. In an iterative process combining search and interaction an expert can review search results and either draw direct conclusions and annotate the pattern or refine the search pattern. The key feature of the approach is that patterns are not specified in advance but established from the data set.Futhermore, they can occur in multiple levels of detail, thus are designed to be scale invariant.
AB - In many applications it is of high interest to analyze spatio- temporal (ST) datasets for recurring patterns. In our approach we examine spatio-temporal datasets for movement patterns using efficient query techniques. In an iterative process combining search and interaction an expert can review search results and either draw direct conclusions and annotate the pattern or refine the search pattern. The key feature of the approach is that patterns are not specified in advance but established from the data set.Futhermore, they can occur in multiple levels of detail, thus are designed to be scale invariant.
UR - http://www.scopus.com/inward/record.url?scp=84923863204&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84923863204
T3 - Proceedings: DMS 2009 - 15th International Conference on Distributed Multimedia Systems
SP - 307
EP - 310
BT - Proceedings
T2 - 15th International Conference on Distributed Multimedia Systems, DMS 2008
Y2 - 10 September 2009 through 12 September 2009
ER -