Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval.
Deok-Hwan KimChin-Wan ChungPublished in: SIGMOD Conference (2003)
Keyphrases
- relevance feedback
- image retrieval
- improve the retrieval accuracy
- clustering algorithm
- document retrieval
- active learning
- information retrieval systems
- low level visual features
- feature importance
- user feedback
- low level features
- hierarchical clustering
- query expansion
- clustering method
- image search
- retrieval accuracy
- data clustering
- document clustering
- cluster analysis
- relevant documents
- k means
- retrieval model
- feature weighting
- metadata
- retrieval effectiveness
- semantic information
- retrieval process
- cbir systems
- high level
- adaptive hypermedia
- information retrieval
- negative feedback
- low level image features
- retrieval precision
- image retrieval systems
- machine learning