AGOCG Technical Reports

Four new AGOCG Technical reports are now available:

No. 41 Review of Visualization in the Social Sciences: A State of the Art Survey and Report, S Orford, D Dorling, R Harris, University of Bristol (http://www.agocg.ac.uk/sosci/review/review.html)
No. 42 A Survey of Visualization Tools in the Social Sciences: Current Practice, PS Ell, The Queens University of Belfast (http://www.qub.ac.uk/ss/esh/visual/)
No. 43 Case Studies of Visualization in the Social Sciences, Edited by D Unwin (Birkbeck College) and P Fisher (University of Leicseter) (http://www.agocg.ac.uk/sosci/casestudies/contents.html)
No. 44 A Guide to VRML 2.0 and an Evaluation of VRML Modelling Tools, N Ashdown and S Forestiero, Manchester Metropolitan University (http://www.scs.leeds.ac.uk/vrmljava3d/)

Hard copies of these and other AGOCG reports are available from:

Joanne Barradell
Computing Services
Loughborough University
Loughborough
Leicestershire, LE11 3TU
j.t.barradell@lboro.ac.uk

Content-Based Image Retrieval

The use of digital images has increased enormously over recent years, however searching and browsing image databases efficiently remains a problem. To address this problem, JISC is commissioning a number of content-based image retrieval related studies, one of which is a state of the art report which will be produced at the University of Northumbria. The work will involve a survey of the current research and professional literature (including material on the World-Wide Web), together with discussions with UK and overseas researchers, major users of image data and representatives of standards bodies. As part of this project, the authors are interested in researchers' opinions on issues such as:

the most important research questions that we should be tackling
technical and human barriers to progress in adoption of CBIR techniques.

and practitioners' opinions on issues such as:

how well informed are they on the capabilities of current CBIR systems
how useful they consider such techniques are likely to be in managing image data.

Anyone who wishes to contribute to this survey should contact John Eakins (john.eakins@unn.ac.uk) or Margaret Graham (margaret.graham@unn.ac.uk) at the Institute for Image Data Research, University of Northumbria.

Sue Cunningham
AGOCG
Manchester Visualization Centre
Manchester Computing
University of Manchester
Manchester M13 9PL
UK
Tel: +44 (0) 161 275 6095
Fax: +44 (0) 161 275 6040
sue.cunningham@mcc.ac.uk
http://www.agocg.ac.uk