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Proceedings Paper

Global image analysis to determine suitability for text-based image personalization
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Paper Abstract

Lately, image personalization is becoming an interesting topic. Images with variable elements such as text usually appear much more appealing to the recipients. In this paper, we describe a method to pre-analyze the image and automatically suggest to the user the most suitable regions within an image for text-based personalization. The method is based on input gathered from experiments conducted with professional designers. It has been observed that regions that are spatially smooth and regions with existing text (e.g. signage, banners, etc.) are the best candidates for personalization. This gives rise to two sets of corresponding algorithms: one for identifying smooth areas, and one for locating text regions. Furthermore, based on the smooth and text regions found in the image, we derive an overall metric to rate the image in terms of its suitability for personalization (SFP).

Paper Details

Date Published: 21 February 2012
PDF: 8 pages
Proc. SPIE 8302, Imaging and Printing in a Web 2.0 World III, 83020S (21 February 2012); doi: 10.1117/12.914251
Show Author Affiliations
Hengzhou Ding, Xerox Corp. (United States)
Raja Bala, Xerox Corp. (United States)
Zhigang Fan, Xerox Corp. (United States)
Charles A Bouman, Purdue Univ. (United States)
Jan P. Allebach, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 8302:
Imaging and Printing in a Web 2.0 World III
Qian Lin; Jan P. Allebach; Zhigang Fan, Editor(s)

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