A Salience‐based Quality Metric for Visualization |
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Authors: | H. Jänicke M. Chen |
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Affiliation: | 1. Ruprecht‐Karls‐Universit?t Heidelberg, Germany;2. Swansea University, Great Britain |
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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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Keywords: | I.3.3 [Computer Graphics]: Picture/Image Generation— Line and curve generation |
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