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ICPR
2002
IEEE
14 years 6 months ago
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps
The MPEG-7 standard is emerging as both a general framework for content description and a collection of specific, agreed-upon content descriptors. We have developed a neural, self...
Markus Koskela, Jorma Laaksonen, Erkki Oja
PRL
2000
104views more  PRL 2000»
13 years 4 months ago
PicSOM - content-based image retrieval with self-organizing maps
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...
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkk...
TRECVID
2007
13 years 6 months ago
PicSOM Experiments in TRECVID 2007
Our experiments in TRECVID 2007 include participation in the high-level feature extraction, search, and video summarization tasks, using a common system framework based on multipl...
Markus Koskela, Mats Sjöberg, Ville Viitaniem...
CIVR
2004
Springer
118views Image Analysis» more  CIVR 2004»
13 years 10 months ago
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps
In content-based image retrieval (CBIR), the images in a database are indexed on the basis of low-level statistical features that can be automatically derived from the images. Due ...
Markus Koskela, Jorma Laaksonen, Erkki Oja
DIAL
2006
IEEE
167views Image Analysis» more  DIAL 2006»
13 years 11 months ago
Tree clustering for layout-based document image retrieval
We describe a system for the retrieval on the basis of layout similarity of document images belonging to collections stored in digital libraries. Layout regions are extracted and ...
Simone Marinai, Emanuele Marino, Giovanni Soda