Semantic clustering of images using patterns of relevance feedback.
Donn MorrisonStéphane Marchand-MailletEric BrunoPublished in: CBMI (2008)
Keyphrases
- image retrieval
- relevance feedback
- image database
- image features
- input image
- clustering algorithm
- repetitive patterns
- ground truth
- three dimensional
- image registration
- image data
- cbir systems
- image collections
- image analysis
- high level
- edge detection
- image classification
- image annotation
- low level visual features
- bridge the semantic gap
- image set
- clustering method
- object recognition
- k means
- image regions
- retrieved images
- binary patterns
- active learning
- visual patterns
- query expansion
- feature points
- semantic similarity
- semantic web
- low level features
- semantic categories
- visual features
- test images
- image matching