A new weaving technique for handling overlapping regions
Proceedings of the International Conference on Advanced Visual Interfaces
Technical Section: Using color in visualization: A survey
Computers and Graphics
Magic marker: a color analytics interface for image annotation
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Color naming models for color selection, image editing and palette design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Importance Driven Automatic Color Design for Direct Volume Rendering
Computer Graphics Forum
Harmonic colormaps for volume visualization
SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
Effective techniques to visualize filament-surface relationships
EuroVis'10 Proceedings of the 12th Eurographics / IEEE - VGTC conference on Visualization
Affective image adjustment with a single word
The Visual Computer: International Journal of Computer Graphics
Selecting semantically-resonant colors for data visualization
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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Professional designers and artists are quite cognizant of the rules that guide the design of effective color palettes, from both aesthetic and attention-guiding points of view. In the field of visualization, however, the use of systematic rules embracing these aspects has received less attention. The situation is further complicated by the fact that visualization often uses semi-transparencies to reveal occluded objects, in which case the resulting color mixing effects add additional constraints to the choice of the color palette. Color design forms a crucial part in visual aesthetics. Thus, the consideration of these issues can be of great value in the emerging field of illustrative visualization. We describe a knowledge-based system that captures established color design rules into a comprehensive interactive framework, aimed to aid users in the selection of colors for scene objects and incorporating individual preferences, importance functions, and overall scene composition. Our framework also offers new knowledge and solutions for the mixing, ordering and choice of colors in the rendering of semi-transparent layers and surfaces. All design rules are evaluated via user studies, for which we extend the method of conjoint analysis to task-based testing scenarios. Our framework’s use of principles rooted in color design with application for the illustration of features in pre-classified data distinguishes it from existing systems which target the exploration of continuous-range density data via perceptual color maps.