PicSOM - content-based image retrieval with self-organizing maps

@article{Laaksonen2000PicSOMC,
  title={PicSOM - content-based image retrieval with self-organizing maps},
  author={Jorma Laaksonen and Markus Koskela and Sami Laakso and Erkki Oja},
  journal={Pattern Recognition Letters},
  year={2000},
  volume={21},
  pages={1199-1207}
}
We have developed a novel system for content-based image retrieval in large, unannotated databases. The system is called PicSOM, and it is based on tree structured self-organizing maps (TS-SOMs). Given a set of reference images, PicSOM is able to retrieve another set of images which are similar to the given ones. Each TS-SOM is formed with a di€erent image feature representation like color, texture, or shape. A new technique introduced in PicSOM facilitates automatic combination of responses… CONTINUE READING
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