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CIVR
2005
Springer
183views Image Analysis» more  CIVR 2005»
13 years 10 months ago
Semantic Annotation of Image Groups with Self-organizing Maps
Automatic image annotation has attracted a lot of attention recently as a method for facilitating semantic indexing and text-based retrieval of visual content. In this paper, we pr...
Markus Koskela, Jorma Laaksonen
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
CIVR
2006
Springer
121views Image Analysis» more  CIVR 2006»
13 years 8 months ago
Video Navigation Based on Self-Organizing Maps
Content-based video navigation is an efficient method for browsing video information. A common approach is to cluster shots into groups and visualize them afterwards. In this paper...
Thomas Bärecke, Ewa Kijak, Andreas Nürnb...
ICPR
2006
IEEE
14 years 6 months ago
Texture Edge Detection using Multi-resolution Features and SOM
Texture boundaries or edges are useful information for segmenting a texture image. We propose a texture edge detection algorithm using a bank of 1-D multi-channel, multiresolution...
Lalit Gupta, Sukhendu Das
SIGIR
2005
ACM
13 years 10 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos