CfP: IEEE SIGNAL PROCESSING MAGAZINE

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CALL FOR PAPERS

IEEE SIGNAL PROCESSING MAGAZINE
Special Issue on Signal Processing in Visual Cultural Heritage

Motivation

The application of signal processing to the analysis of visual
Cultural Heritage artworks (man-made or natural) is still a very
uncommon practice; both among conservators and ICT specialists. These
artworks include films, photographs, paintings, sculptures,
archaeological sites, historical monuments, ethnographic collections
and natural history specimens. Lately, however, there has been a
greater interest on both sides for acquiring and processing Cultural
Heritage-related image data in order to facilitate their storage,
transmission, representation, analysis and fruition. Efforts in these
areas have been supported with promising results demonstrated by some
high visibility projects and by many initiatives worldwide. The
analysis may be directed to material analysis (dating and provenance
determination), discovery and interpretation of ancient technologies,
examination of details (tool marks, brush strokes, craquelure),
artists' environment and mutual relationships, better knowledge of
conservation materials and processes, and Cultural Heritage
dissemination and fruition. In all, digital signal processing is the
foundation upon which these applications must rely for optimal results.

Theme and Focus

This special issue solicits tutorial articles with comprehensive
surveys of important theories, algorithms, tools, and applications of
signal processing to visual Cultural Heritage. Prospective authors
should submit a white paper summarizing the motivation, the
significance of the topic, a brief history, and an outline of the
content. Authors with accepted proposals will be invited to submit a
full manuscript.

Topics of interest include, among others:
·Very high-quality artwork document production and its quality
evaluation
·Color and multispectral image acquisition and processing of
artworks
·1D signal processing algorithms for optimal information
extraction for 2D and 3D image creation
·Signal processing as an aid in actual and virtual restoration
·Film and photographs restoration and preservation techniques
·1D, 2D and 3D analysis tools for comparative examinations and
diagnosis
·Multi-sensor data integration for accurate modeling
·Recognition of features and structures in images and 3D models
·3D processing for the representation, reproduction, and the
classification of artworks
·Large size image storage, handling and visualization for
presentation and fruition
·Efficient artwork image indexing and retrieval
.Digital data preservation strategies for virtualized artworks

Schedule and Submission Procedure

Prospective authors should submit their white papers to the web
submission system at http://www.ee.columbia.edu/spm according to the
following timetable. The white papers should be three pages maximum

White paper due: July 1, 2007
Acceptance notification: August 1, 2007
Manuscript due: November 1, 2007
Acceptance notification: February 1, 2008
Final manuscript due: March 15, 2008
Publication date: July 2008

Guest editors

Prof. Mauro Barni
Associate Professor
Dept. of Information Engineering, University of Siena
Via Roma 56, 53100 - Siena - Italy
Tel: +39 0577234621 Fax: +39 0577 233602
E-mail: barni@dii.unisi.it
Homepage : http://www.dii.unisi.it/~barni/

Dr. Jean-Angelo Beraldin
Senior Research Officer
Visual Information Technology, NRC - Institute for Information
Technology
1200 Montreal Road - Building M-50, Room 352 - Ottawa, ON K1A 0R6
Telephone: +1 (613) 990-6871, Fax: +1 (613) 952-0215
E-mail: Jean-Angelo.Beraldin@nrc-cnrc.gc.ca
Homepage : http://iti-iit.cnrc-nrc.gc.ca/personnel/
beraldin_angelo_e.html

Dr. Christian Lahanier
Head of the Documentation and Imaging Technologies Department
Centre of Research and Restoration of the Museums in France
6, rue des Pyramides, 75041 Paris Cedex 01
tel : 33 1 40 20 58 71, fax : 33 1 47 03 32 46
E-mail: christian.lahanier@culture.gouv.fr

Dr. Alessandro Piva
Assistant Professor
Dept. of Electronics and Telecommunications, University of Florence
Via S. Marta 3, 50139 - Firenze - Italy
Tel: +39 055 4796380 Fax: +39 055 494569
E-mail: piva@lci.det.unifi.it
Homepage : http://lci.det.unifi.it/Staff/Piva