Relevance feedback based on n-tuplewise comparison and the ELECTRE methodology and an application in content-based image retrieval.
Pawel RotterPublished in: Multim. Tools Appl. (2014)
Keyphrases
- relevance feedback
- image retrieval
- improve the retrieval accuracy
- information retrieval systems
- low level visual features
- document retrieval
- user feedback
- retrieval accuracy
- low level features
- query expansion
- multimedia
- feedback information
- information retrieval
- image search
- query refinement
- retrieval effectiveness
- multiple criteria
- relevant documents
- retrieval model
- cbir systems
- pseudo relevance feedback
- retrieval framework
- active learning
- retrieval precision
- low level image features
- semantic information
- web documents
- image database
- metadata
- negative feedback
- learning algorithm