A salience-based quality metric for visualization

• Verfasst von: Leitte, Heike [VerfasserIn]
• Verfasst von: Chen, Min [VerfasserIn]
• Titel: A salience-based quality metric for visualization
• Verf.angabe: H. Jänicke and M. Chen
• E-Jahr: 2010
• Jahr: [June 2010]
• Umfang: 10 S.
• Illustrationen: Illustrationen
• Fussnoten: First published: 12 August 2010 ; Gesehen am 11.07.2023
• Titel Quelle: Enthalten in: Computer graphics forum
• Ort Quelle: Oxford : Wiley-Blackwell, 1982
• Jahr Quelle: 2010
• Band/Heft Quelle: 29(2010), 3, Seite 1183-1192
• ISSN Quelle: 1467-8659
• DOI: doi:10.1111/j.1467-8659.2009.01667.x
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: and
• Sach-SW: Computer
• Sach-SW: curve
• Sach-SW: generation
• Sach-SW: Generation—Line
• Sach-SW: Graphics:
• Sach-SW: I.3.3
• Sach-SW: Picture/Image
• K10plus-PPN: 1852383135

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.