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Proceedings Paper

Intelligent content fitting for digital publishing
Author(s): Xiaofan Lin
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Paper Abstract

One recurring problem in Variable Data Printing (VDP) is that the existing contents cannot satisfy the VDP task as-is. So there is a strong need for content fitting technologies to support high-value digital publishing applications, in which text and image are the two major types of contents. This paper presents meta-Autocrop framework for image fitting and TextFlex technology for text fitting. The meta-Autocrop framework supports multiple modes: fixed aspect-ratio mode, advice mode, and verification mode. The TextFlex technology supports non-rectangular text wrapping and paragraph-based line breaking. We also demonstrate how these content fitting technologies are utilized in the overall automated composition and layout system.

Paper Details

Date Published: 10 February 2006
PDF: 9 pages
Proc. SPIE 6076, Digital Publishing, 60760J (10 February 2006); doi: 10.1117/12.644285
Show Author Affiliations
Xiaofan Lin, Hewlett-Packard Labs. (United States)

Published in SPIE Proceedings Vol. 6076:
Digital Publishing
Jan P. Allebach; Hui Chao, Editor(s)

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