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Proceedings Paper

Language-based color editing for mobile device
Author(s): Yonghui Zhao; Raja Bala; Karen M. Braun; Zahra Langford; Robert J. Rolleston; Michael T. Stevens
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Paper Abstract

Natural language color (NLC) was initially developed as a web-based application and then deployed in one Xerox print driver. NLC changes the image-editing paradigm from the use of curves, sliders, and knobs, to the use of verbal text-based commands such as "make light green much less yellowish". The technology appeals to a common user who has no expert knowledge in color science, and this naturally leads one to think about its use in mobile devices. A prototype GUI design for a language-based color editing on iPhone platform will be presented that uses several of its haptic interfaces (e.g. "slot-machine", shaking, swiping, etc.). A textual interface is provided to select a color to be modified within the image and a direction of change for the modification. A swipe interface is provided to select a magnitude and polarity for the modification. Actions on the textual and swipe interface are converted to natural language commands that are in turn used to derive a color transformation that is applied to relevant portions of the image to yield a modified image. The modifications are displayed in real time to the user.

Paper Details

Date Published: 7 February 2011
PDF: 6 pages
Proc. SPIE 7879, Imaging and Printing in a Web 2.0 World II, 787907 (7 February 2011); doi: 10.1117/12.878885
Show Author Affiliations
Yonghui Zhao, Xerox Corp. (United States)
Raja Bala, Xerox Corp. (United States)
Karen M. Braun, Xerox Corp. (United States)
Zahra Langford, Xerox Corp. (United States)
Robert J. Rolleston, Xerox Corp. (United States)
Michael T. Stevens, Xerox Corp. (United States)


Published in SPIE Proceedings Vol. 7879:
Imaging and Printing in a Web 2.0 World II
Qian Lin; Jan P. Allebach; Zhigang Fan, Editor(s)

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