Content-based image retrieval

Authors:
Th. Hermes;Ch. Klauck;J. Kreyß;J. Zhang
Affiliations:
Artificial Intelligence Group, Department of Computer Science, University of Bremen, Germany;Artificial Intelligence Group, Department of Computer Science, University of Bremen, Germany;Artificial Intelligence Group, Department of Computer Science, University of Bremen, Germany;Artificial Intelligence Group, Department of Computer Science, University of Bremen, Germany
Venue:
CASCON '95 Proceedings of the 1995 conference of the Centre for Advanced Studies on Collaborative research
Year:
1995

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Abstract

In order to retrieve images it is much more sophisticated and usual for human beings to use natural language concepts, e.g. mountainlake, than syntactical features, e.g. red region left up. This leads to a content-based image retrieval. Furthermore, it is unreasonable for any human being to make the content description for 1000 of images manually.From this point of view, the project IRIS1 (Image Retrieval for Information Systems) combines well-known methods and techniques in computer vision and AI in a new way to generate content descriptions of images in a textual form automatically. The text retrieval is done by IBM SearchManager for AIX.The system is implemented on IBM2 RISC Sytem/60003 using AIX4. It has already been tested with 1200 images.