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Proceedings Paper

Semi-automatic image personalization tool for variable text insertion and replacement
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Paper Abstract

Image personalization is a widely used technique in personalized marketing,1 in which a vendor attempts to promote new products or retain customers by sending marketing collateral that is tailored to the customers' demographics, needs, and interests. With current solutions of which we are aware such as XMPie,2 DirectSmile,3 and AlphaPicture,4 in order to produce this tailored marketing collateral, image templates need to be created manually by graphic designers, involving complex grid manipulation and detailed geometric adjustments. As a matter of fact, the image template design is highly manual, skill-demanding and costly, and essentially the bottleneck for image personalization. We present a semi-automatic image personalization tool for designing image templates. Two scenarios are considered: text insertion and text replacement, with the text replacement option not offered in current solutions. The graphical user interface (GUI) of the tool is described in detail. Unlike current solutions, the tool renders the text in 3-D, which allows easy adjustment of the text. In particular, the tool has been implemented in Java, which introduces flexible deployment and eliminates the need for any special software or know-how on the part of the end user.

Paper Details

Date Published: 10 February 2010
PDF: 11 pages
Proc. SPIE 7540, Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV, 75400N (10 February 2010); doi: 10.1117/12.843729
Show Author Affiliations
Hengzhou Ding, Purdue Univ. (United States)
Raja Bala, Xerox Corp. (United States)
Zhigang Fan, Xerox Corp. (United States)
Reiner Eschbach, Xerox Corp. (United States)
Charles A. Bouman, Purdue Univ. (United States)
Jan P. Allebach, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 7540:
Imaging and Printing in a Web 2.0 World; and Multimedia Content Access: Algorithms and Systems IV
Theo Gevers; Qian Lin; Raimondo Schettini; Zhigang Fan; Cees Snoek, Editor(s)

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