Fuzzy relevance feedback in content-based image retrieval systems using radial basis function network.
Kim-Hui YapKui WuPublished in: ICME (2005)
Keyphrases
- content based image retrieval systems
- radial basis function network
- relevance feedback
- image retrieval
- cbir systems
- image retrieval systems
- low level features
- image database
- visual information
- image content
- fuzzy model
- fuzzy rules
- membership functions
- visual features
- image search
- fuzzy sets
- neural network
- fuzzy logic
- visual content
- query expansion
- information retrieval systems
- user feedback
- rule extraction
- semantic gap
- active learning
- retrieval process
- low level visual features
- radial basis function
- medical image retrieval
- multilayer perceptron
- fuzzy clustering
- image collections
- retrieval model
- document retrieval
- image representation
- rough sets
- low level
- information retrieval
- rule base
- retrieval method
- fuzzy neural network
- multi layer perceptron
- nonlinear systems
- relevant documents
- image data