A salience-based quality metric for visualization
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 visualizat...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
[June 2010]
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| In: |
Computer graphics forum
Year: 2010, Volume: 29, Issue: 3, Pages: 1183-1192 |
| ISSN: | 1467-8659 |
| DOI: | 10.1111/j.1467-8659.2009.01667.x |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1111/j.1467-8659.2009.01667.x Verlag, lizenzpflichtig, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8659.2009.01667.x 
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| Author Notes: | H. Jänicke and M. Chen |
| Summary: | 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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| Item Description: | First published: 12 August 2010 Gesehen am 11.07.2023 |
| Physical Description: | Online Resource |
| ISSN: | 1467-8659 |
| DOI: | 10.1111/j.1467-8659.2009.01667.x |