A Probabilistic Model for User Relevance Feedback on Image Retrieval.
Roberto ParedesThomas DeselaersEnrique VidalPublished in: MLMI (2008)
Keyphrases
- relevance feedback
- image retrieval
- probabilistic model
- user feedback
- retrieval process
- image search
- document retrieval
- information retrieval systems
- query expansion
- feedback information
- cbir systems
- information retrieval
- active learning
- retrieval accuracy
- low level features
- bayesian networks
- query refinement
- negative feedback
- relevant documents
- retrieval model
- retrieved images
- initial query
- image retrieval systems
- retrieval precision
- visual features
- language model
- image database
- region based image retrieval
- positive and negative feedback
- low level visual features
- image representation
- end users
- user interface
- visual words
- image features
- recommender systems
- improve the retrieval accuracy
- feature selection