Abstract
In this paper, we propose a watercolor image synthesizing system which integrates the user-personalized color charts based on web-mining technologies with the 3D Watercolor NPR system. Through our system, users can personalize their own color palette by using keywords such as the name of the artist or by choosing color sets on an emotional map. The related images are searched from web by adopting web mining technology, and the appropriate colors are extracted to construct the color chart by analyzing these images. Then, the color chart is rendered in a 3D visualization system which allows users to view and manage the distribution of colors interactively. Then, users can use these colors on our watercolor NPR system with a sketch-based GUI which allows users to manipulate watercolor attributes of object intuitively and directly.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Chen, LH., Ho, YH., Liu, TY., Hsieh, WC. (2010). A Watercolor NPR System with Web-Mining 3D Color Charts. In: Huang, F., Wang, RC. (eds) Arts and Technology. ArtsIT 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11577-6_10
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DOI: https://doi.org/10.1007/978-3-642-11577-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11576-9
Online ISBN: 978-3-642-11577-6
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