DocumentCode :
1519599
Title :
Color Lens: Adaptive Color Scale Optimization for Visual Exploration
Author :
Elmqvist, Niklas ; Dragicevic, Pierre ; Fekete, Jean-Daniel
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
Volume :
17
Issue :
6
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
795
Lastpage :
807
Abstract :
Visualization applications routinely map quantitative attributes to color using color scales. Although color is an effective visualization channel, it is limited by both display hardware and the human visual system. We propose a new interaction technique that overcomes these limitations by dynamically optimizing color scales based on a set of sampling lenses. The technique inspects the lens contents in data space, optimizes the initial color scale, and then renders the contents of the lens to the screen using the modified color scale. We present two prototype implementations of this pipeline and describe several case studies involving both information visualization and image inspection applications. We validate our approach with two mutually linked and complementary user studies comparing the Color Lens with explicit contrast control for visual search.
Keywords :
data visualisation; image colour analysis; optimisation; rendering (computer graphics); adaptive color scale optimization; color lens; data space; image inspection applications; information visualization; lens content rendering; visual exploration; Data visualization; Displays; Hardware; Humans; Image sampling; Lenses; Pipelines; Prototypes; Rendering (computer graphics); Visual system; Color scales; Magic Lens.; interaction technique; visualization;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2010.94
Filename :
5487518
Link To Document :
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