Subject: CFP - CVIU Special Issue
From: beleg@little-charlie.ISRI.UNLV.EDU (Andrew D Bagdanov)
Date: 11 Nov 1996 23:05:02 GMT
COMPUTER VISION AND IMAGE UNDERSTANDING
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SPECIAL ISSUE ON
DOCUMENT IMAGE UNDERSTANDING AND RETRIEVAL
Publication date: May 1998
Paper submission date: February 1, 1997
Vast deposits of information, printed on paper, have accumulated over centuries.Advanced computer and communication technologies now offer better ways to
store, retrieve, and distribute this information. Billions of paper documents
are waiting to be made accessible via electronic media.
Document image understanding (DIU) research provides technology for automated
systems for extracting and organizing information from paper documents.
Generally, these applications apply image processing, pattern recognition,
and information retrieval techniques to digitized images of document pages.
A document image may contain text, graphics, pictures, or a combination of
those objects. Some commercial products are of course already available,
such as `optical character recognition' systems for reading pages of
machine-printed text, but research is still required to improve their
performance on the full range of real-world variability in typography,
image quality, and context. Performance evaluation of DIU systems requires
scientific experimental design, a large test database, and sophisticated
analysis of the results.
The goal of this special issue is to showcase state-of-the-art achievements
in document image understanding and retrieval. Submitted papers should
report the solution of a significant open problem: theoretical, algorithmic,
and systems-architectural studies are welcome, as are papers describing
practical applications supported by performance evaluations on a convincingly
large scale.
Topics appropriate for this special issue include, but are not limited to:
o document image understanding algorithms
o document image and text compression algorithms
o physical and logical page image segmentation
o character and symbol recognition methods
o document image characterization, indexing, and retrieval
o post-processing (e.g. error-correction) algorithms
o graphical object recognition (e.g. maps and engineering drawings)
o image degradation models, calibration, & validation
o algorithm and system performance measures
o innovative applications
Send four copies of your manuscript (marked "DIU Special Issue") by
February 1, 1997 to:
Computer Vision and Image Understanding
Editorial Office
525 B Street, Suite 1900
San Diego, CA 92101-4495
GUEST EDITORS
Henry S. Baird hsb@bell-labs.com
Bell Laboratories
700 Mountain Ave, Room 2C-322
Murray Hill, NJ 07974-0636
Junichi Kanai kanaij@isri.unlv.edu
Information Science Research Institute
University of Nevada, Las Vegas
4505 Maryland Parkway
Las Vegas, NV 89154-4021
For instructions to authors:
URL http://RVL4.ecn.purdue.edu/~kak/cviu.html
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