Links zu Forschungsprojekten, kommerzieller Software und Texten (Die Seite befindet sich im Aufbau).

image database systems: Linkliste, VIPER, Genf.

Visual Information Retrieval Resources, Linkliste, Uni Southampton

AMIS: content-based indexing and retrieval, Gemeinschaftsprojekt der Unis Utrecht, Amsterdam, Twente u.a.

CANDID: Comparison Algorithm for Navigating Digital Image Databases, Bildsuche nach Beispielen, Los Alamos. Texte

CBIR: content-based image retrieval, Purdue, Online-Demo, Texte.

Multi-media Indexing and Retrieval, Center for Intelligent Information Retrieval, Univ. of Massachusetts, Amherst.Demo

COMPASS computer aided search system, Istituto Trentino di Cultura (ITC), Trient, Demo, download

IMEDIA, Images et Multimedia : indexation, navigation et recherche, INRIA, Le Chesnay, Surfimage-Demo

Image Rover Image and Video Computing Group - Boston University, demo

PARISS,Panoramic Adaptive Reconfigurable Interface for Similarity Search, Universität Leuven (BE) & CWI Amsterdam, Online-Demo

PicSOM, image browsing system based on the Self-Organizing Map, Helsinki, Online-Demo

Photobook, MIT, demo

Photofinder, Human Computer Interaction Laboratory an der University of Maryland,download

SIMBA, Search IMages By Appearance, Demo, Uni Freiburg.

SQUID, Shape Queries Using Image Databases, University of Surrey, demo

VIPER Visual Information Processing for Enhanced Retrieval, Universität Genf. Online-Demo/Links

VisInfo, Subproject Image Retrieval Service, Online-Demo, Konrad-Zuse-Zentrum für Informationstechnik Berlin (ZIB)

VISOR - a user oriented evaluation framework, Univ. of Northumbria, Newcastle

VIVALDI: Efficient Management of Image and Video Data, University of Southern California, Santa Barbara.NETRA (Web-Demo): A Content-Based Image Retrieval System / NETRA-2(Webdemo) Alexandria Digital Library Project.

IMatch 2.1.2 von MWlabs (Mario Westphal), download Trial-Version

G. Caenen, G. Frederix, A.A.M Kuijk, E.J. Pauwels and B.A.M. Schouten: Show me what you mean! PARISS: A CBIR-interface that learns by example; erscheint : Visual 2000.

G. Caenen, G. Frederix and E.J. Pauwels: PARISS: Panoramic Adaptive and Reconfigurable Interface for Similarity Search , erscheint : ICIP 2000.

Eakins, J P.: Automatic image content retrieval - are we getting anywhere? In: Proceedings of Third International Conference on Electronic Library and Visual Information Research, De Montfort University, Milton Keynes, May 1996, 123-135

John P Eakins and Margaret E Graham: Content-based Image Retrieval A report to the JISC Technology, Applications Programme, Institute for Image Data Research, University Newcastle, 1999.

P.M. Kelly and T.M. Cannon.Query by image example: the CANDID approach. In SPIE Vol. 2420 Storage and Retrieval for Image and Video Databases III, 1995.

M. La Cascia, S. Sethi, and S. Sclaroff: Combining Textual and Visual Cues for Content-based Image Retrieval on the World Wide Web, Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, June, 1998

Josef Kittler, Abbasi, S., F. Mokhtarian: Curvature Scale Space image in Shape Similarity Retrieval, in: Springer Journal of MultiMedia Systems, vol. 7, number 6, pp. 467-476, 1999.

W. Y. Ma and B. S. Manjunath, NETRA: A Toolbox for navigating large image databases, to be presented at the IEEE Intl. Conf. Image Processing (ICIP'97), Santa Barbara, October 1997.

W.Y. Ma and B. S. Manjunath: A texture thesaurus for browsing large aerial photographs, to appear in the Journal of the American Society for Information Science, 1997.

Manmatha. R., Ravela, S. and Chitti Y.:On Computing Local and Global Similarity in Images, in: the Proceedings of SPIE conf. on Human and Electronic Imaging III, San Jose, California, January 24 - 30, 1998.

Chahab Nastar:Indexation et recherche d’images :enjeux, méthodes et perspectives, Congrès IDT'99, Paris.

Alex Pentland, Rosalind W. Picard, Stanley Sclaroff: Photobook: Content-Based Manipulation of Image Databases IEEE Multimedia, Summer 1994 pp. 73--75

S. Ravela and R. Manmatha: Retrieving Images by Appearance, to appear in the Proc. of the IEEE International Conf. on Computer Vision , (ICCV'98) Bombay, Jan, 1998.

C. R. Shyu, C. E. Brodley, A. C. Kak, A. Kosaka, A. Aisen and L. Broderick, Local versus Global Features for Content-Based Image Retrieval, in Proceedings IEEE Workshop of Content-Based Access of Image and Video Libraries, Santa Barbara, CA, June 1998. (.ps version)

Colin C. Venters and Dr. Matthew Cooper: A Review of Content-Based Image Retrieval Systems, University of Manchester, 1999.

M. Mitchell Waldrop: Data Mining in: Technology Review, Jan 2001: emerging technologies