Abstract
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.
Cite
CITATION STYLE
Laaksonen, J., Koskela, M., & Oja, E. (1999). Content-based image retrieval using self-organizing maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1614, pp. 541–549). Springer Verlag. https://doi.org/10.1007/3-540-48762-x_67
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