Use of Image Subset Features in Image Retrieval with Self-Organizing Maps.
Markus KoskelaJorma LaaksonenErkki OjaPublished in: CIVR (2004)
Keyphrases
- image retrieval
- self organizing maps
- image features
- image content
- low level
- image representation
- image similarity
- feature space
- image data
- image collections
- image database
- low level visual features
- test images
- input image
- input data
- spatial information
- color histogram
- extracted features
- cbir systems
- feature maps
- image segmentation
- neural network
- image regions
- image matching
- unsupervised learning
- feature vectors
- feature extraction
- image classification
- relevance feedback
- competitive learning
- image coding
- maximum likelihood
- visual words
- principal components
- training data
- similarity measure
- network anomaly detection