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A Statistics-based Dimension Reduction of the Space of Path Line Attributes for Interactive Visual Flow Analysis

Armin Pobitzer, Alan Lez, Kresimir Matkovic, Helwig Hauser

INPROCEEDINGS, Proceedings of the IEEE Pacific Visualization Symposium (PacificVis 2012), March, 2012

Abstract

Recent work has shown the great potential of interactive flow analysis by the analysis of path lines. The choice of suitable attributes, describing the path lines, is, however, still an open question. This paper addresses this question performing a statistical analysis of the path line attribute space. In this way we are able to balance the usage of computing power and storage with the necessity to not loose relevant information. We demonstrate how a carefully chosen attribute set can improve the benefits of state-of-the art interactive flow analysis. The results obtained are compared to previously published work.

Published

Proceedings of the IEEE Pacific Visualization Symposium (PacificVis 2012)

  • Pages: 113–120
  • Location: Songdo, Korea
  • Date: March 2012

Media

  • paper
  • Click to view

BibTeX

@inproceedings{Pobitzer12AStatistics,
 title = {A Statistics-based Dimension Reduction of the Space of Path Line Attributes
  for Interactive Visual Flow Analysis},
 author = {Armin Pobitzer and Alan Lez and Kresimir Matkovic and Helwig Hauser},
 year = {2012},
 booktitle = {Proceedings of the IEEE Pacific Visualization Symposium 
  (PacificVis 2012)},
 pages = {113--120},
 month = {March},
 location = {Songdo, Korea},


 abstract = {Recent work has shown the great potential of interactive flow analysis
  by the analysis of path lines. The choice of suitable attributes,
  describing the path lines, is, however, still an open question. This
  paper addresses this question performing a statistical analysis of the
  path line attribute space. In this way we are able to balance the usage
  of computing power and storage with the necessity to not loose
  relevant information. We demonstrate how a carefully chosen attribute
  set can improve the benefits of state-of-the art interactive flow
  analysis. The results obtained are compared to previously published
  work.},
}






 Last Modified: Jean-Paul Balabanian, 2014-11-06