Back to articles
Volume: 21 | Article ID: art00012
Automatic Color Palette Creation from Words
  DOI :  10.2352/CIC.2013.21.1.art00012  Published OnlineJanuary 2013

We present an automatic framework to extract color palettes from words. This is a novel approach in comparison to existing solutions, e.g. manual creation or extraction from images. The associations between words and colors are deduced from a large database of 6 million tagged images using a scalable data-mining technique. The palette creation can be constrained by the user to achieve a desired hue template. We first focus on single words and then extend to entire texts. We compare our results against Adobe Kuler, a widely used online platform of manually created color palettes. We show that our approach performs slightly better than its non-automatic counterpart in terms of user's preference rankings. This is a good result because our method is fully automatic whereas Kuler relies on users' palettes that are manually created and annotated.

Subject Areas :
Views 12
Downloads 5
 articleview.views 12
 articleview.downloads 5
  Cite this article 

Albrecht Lindner, Sabine Süsstrunk, "Automatic Color Palette Creation from Wordsin Proc. IS&T 21st Color and Imaging Conf.,  2013,  pp 69 - 74,

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2013
Color and Imaging Conference
color imaging conf
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA