Self-organizing maps
Visual information retrieval from large distributed online repositories
Communications of the ACM
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
ImageGrouper: Search, Annotate and Organize Images by Groups
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Similarity beyond distance measurement
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
POISE – achieving content-based picture organisation for image search engines
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
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We have developed an image retrieval system named PicSOM which uses Tree Structured Self-Organizing Maps (TS-SOMs) as the method for retrieving images similar to a given set of reference images. A novel technique introduced in the PicSOM system facilitates automatic combination of the responses from multiple TS-SOMs and their hierarchical levels. This mechanism aims at adapting to the user's preferences in selecting which images resemble each other in the particular sense the user is interested of. The image queries are performed through the World Wide Web and the queries are iteratively refined as the system exposes more images to the user.