Landesberger von Antburg, Tatiana ; Bremm, Sebastian ; Rezaei, Peyman ; Schreck, Tobias (2009)
Visual Analytics of Time Dependent 2D Point Clouds.
CGI 2009.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Two dimensional point data can be considered one of the most basic, yet one of the most ubiquitous data types arising in a wide variety of applications. The basic scatter plot approach is widely used and highly effective for data sets of small to moderate size. However, it shows scalability problems for data sets of increasing size, of multiple classes and of time-dependency. In this short paper, we therefore present an improved visual analysis of such point clouds. The basic idea is to monitor certain statistical properties of the data for each point and for each class as a function of time. The output of the statistic analysis is used for identification of interesting data views decreasing information overload. The data is interactively visualized using various techniques. In this paper, we specify the problem, detail our approach, and present application results based on a real world data set.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2009 |
| Autor(en): | Landesberger von Antburg, Tatiana ; Bremm, Sebastian ; Rezaei, Peyman ; Schreck, Tobias |
| Art des Eintrags: | Bibliographie |
| Titel: | Visual Analytics of Time Dependent 2D Point Clouds |
| Sprache: | Englisch |
| Publikationsjahr: | 2009 |
| Verlag: | ACM, New York |
| Veranstaltungstitel: | CGI 2009 |
| Kurzbeschreibung (Abstract): | Two dimensional point data can be considered one of the most basic, yet one of the most ubiquitous data types arising in a wide variety of applications. The basic scatter plot approach is widely used and highly effective for data sets of small to moderate size. However, it shows scalability problems for data sets of increasing size, of multiple classes and of time-dependency. In this short paper, we therefore present an improved visual analysis of such point clouds. The basic idea is to monitor certain statistical properties of the data for each point and for each class as a function of time. The output of the statistic analysis is used for identification of interesting data views decreasing information overload. The data is interactively visualized using various techniques. In this paper, we specify the problem, detail our approach, and present application results based on a real world data set. |
| Freie Schlagworte: | Forschungsgruppe Visual Search and Analysis (VISA), Point clouds, Visual analytics, Interactive visualization |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 12 Nov 2018 11:16 |
| Letzte Änderung: | 22 Jul 2021 18:31 |
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