A Salience-based Quality Metric for Visualization

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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and Blackwell Publishing Ltd.
Abstract
Salience detection is a principle mechanism to facilitate visual attention. A good visualization guides the observer s attention to the relevant aspects of the representation. Hence, the distribution of salience over a visualization image is an essential measure of the quality of the visualization. We describe a method for computing such a metric for a visualization image in the context of a given dataset. We show how this technique can be used to analyze a visualization s salience, improve an existing visualization, and choose the best representation from a set of alternatives. The usefulness of this proposed metric is illustrated using examples from information visualization, volume visualization and flow visualization.
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@article{
:10.1111/j.1467-8659.2009.01667.x
, journal = {Computer Graphics Forum}, title = {{
A Salience-based Quality Metric for Visualization
}}, author = {
Jänicke, Heike
and
Chen, Min
}, year = {
2010
}, publisher = {
The Eurographics Association and Blackwell Publishing Ltd.
}, ISSN = {
1467-8659
}, DOI = {
/10.1111/j.1467-8659.2009.01667.x
} }
Citation