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A Four-level Focus+Context Approach to Interactive Visual Analysis of Temporal Features in Large Scientific Data

Philipp Muigg, Johannes Kehrer, Steffen Oeltze, Harald Piringer, Helmut Doleisch, Bernhard Preim, Helwig Hauser

ARTICLE, Computer Graphics Forum, may, 2008

Abstract

In this paper we present a new approach to the interactive visual analysis of time-dependent scientific data both from measurements as well as from computational simulation by visualizing a scalar function over time for each of tenthousands or even millions of sample points. In order to cope with overdrawing and cluttering, we introduce a new four-level method of focus+context visualization. Based on a setting of coordinated, multiple views (with linking and brushing), we integrate three different kinds of focus and also the context in every single view. Per data item we use three values (from the unit interval each) to represent to which degree the data item is part of the respective focus level. We present a color compositing scheme which is capable of expressing all three values in a meaningful way, taking semantics and their relations amongst each other (in the context of our multiple linked view setup) into account. Furthermore, we present additional image-based postprocessing methods to enhance the visualization of large sets of function graphs, including a texture-based technique based on line integral convolution (LIC). We also propose advanced brushing techniques which are specific to the timedependent nature of the data (in order to brush patterns over time more efficiently). We demonstrate the usefulness of the new approach in the context of medical perfusion data.

Published

Computer Graphics Forum

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BibTeX

@article{Muigg08four,
  author = {Philipp Muigg and Johannes Kehrer and Steffen Oeltze and 
	Harald Piringer and Helmut Doleisch and Bernhard Preim and Helwig Hauser},
  title = {A Four-level Focus+Context Approach to Interactive Visual 
	Analysis of Temporal Features in Large Scientific Data},
  year = {2008},
  month = {may},
  abstract = {In this paper we present a new approach to the interactive visual 
	analysis of time-dependent scientific data  both from measurements as well 
	as from computational simulation  by visualizing a scalar function over time
	for each of tenthousands or even millions of sample points. In order to cope
	with overdrawing and cluttering, we introduce a new four-level method of 
	focus+context visualization. Based on a setting of coordinated, multiple views 
	(with linking and brushing), we integrate three different kinds of focus and 
	also the context in every single view. Per data item we use three values (from
	the unit interval each) to represent to which degree the data item is part of
	the respective focus level. We present a color compositing scheme which is 
	capable of expressing all three values in a meaningful way, taking semantics
	and their relations amongst each other (in the context of our multiple linked
	view setup) into account. Furthermore, we present additional image-based 
	postprocessing methods to enhance the visualization of large sets of function 
	graphs, including a texture-based technique based on line integral convolution
	(LIC). We also propose advanced brushing techniques which are specific to the 
	timedependent nature of the data (in order to brush patterns over time more 
	efficiently). We demonstrate the usefulness of the new approach in the context 
	of medical perfusion data.},
  journal = {Computer Graphics Forum},
  event = "EuroVis 2008",
  volume = {27},
  number = {3},
  pages = {775--782},
  location = "Eindhooven, Netherlands",
  URL = {http://dx.doi.org/10.1111/j.1467-8659.2008.01207.x},


}






 Last Modified: Jean-Paul Balabanian, 2013-05-29