An Automatic Relevance Feedback in Image Retrieval Using Belief Functions.
Saïd KharbouchePatrick VannoorenbergheChristèle LecomtePierre MichéPublished in: ISVC (2005)
Keyphrases
- belief functions
- relevance feedback
- image retrieval
- dempster shafer theory
- dempster shafer
- image search
- image database
- probability theory
- retrieval precision
- probability function
- query expansion
- low level features
- uncertain reasoning
- combination rule
- active learning
- retrieval method
- markov tree
- retrieval model
- information retrieval systems
- information retrieval
- cbir systems
- region based image retrieval
- visual features
- evidential reasoning
- image content
- document retrieval
- genetic algorithm
- image retrieval systems
- set valued
- feature space
- low level visual features
- data mining
- artificial intelligence
- data analysis
- retrieval framework
- pseudo relevance feedback
- retrieval process
- image representation
- image collections