Combining Clustering and Relevance Feedback Techniques in Content-based Image Retrieval.
Oge MarquesBorko FurhtPublished in: IMSA (2002)
Keyphrases
- relevance feedback
- image retrieval
- improve the retrieval accuracy
- clustering algorithm
- document retrieval
- information retrieval systems
- user feedback
- clustering method
- feature importance
- k means
- low level visual features
- information retrieval
- self organizing maps
- query expansion
- metadata
- retrieval accuracy
- image search
- active learning
- feature weighting
- low level features
- image database
- multimedia content
- retrieval precision
- retrieval model
- high level
- image classification
- low level image features
- multimedia
- fuzzy clustering
- image content
- retrieval process
- cbir systems
- retrieval effectiveness
- data clustering
- machine learning
- web documents
- language model
- image representation