The role of sample distribution in relevance feedback for content based image retrieval.
Hong WuHanqing LuSongde MaPublished in: ICME (1) (2002)
Keyphrases
- relevance feedback
- improve the retrieval accuracy
- image retrieval
- information retrieval systems
- document retrieval
- user feedback
- retrieval model
- low level visual features
- feedback information
- positive and negative feedback
- retrieval accuracy
- sample set
- image search
- probability distribution
- active learning
- relevant documents
- query expansion
- retrieval process
- sample size
- retrieval precision
- information retrieval
- retrieval effectiveness
- multimedia
- feature weighting
- query refinement
- negative feedback
- low level features
- retrieval framework
- power law
- cbir systems
- digital content
- image content
- random variables
- web documents
- probabilistic model
- learning algorithm