Cluster-driven refinement for content-based digital image retrieval.
Kyoung-Mi LeeW. Nick StreetPublished in: IEEE Trans. Multim. (2004)
Keyphrases
- image retrieval
- relevance feedback
- retrieval accuracy
- retrieval method
- image database
- image content
- visual content
- visual features
- content based retrieval
- text retrieval
- image indexing
- image search
- nearest neighbor search
- image annotation
- cbir systems
- low level features
- data clustering
- multimedia retrieval
- feature space
- image retrieval systems
- digital content
- data sets
- clustering algorithm
- content similarity
- digital curves
- digital technologies
- refinement process
- digital media
- retrieval process
- subspace clustering
- color histogram
- image collections
- data objects
- cluster analysis
- image representation
- data driven
- medical images
- low level
- feature extraction