Relevance feedback based on genetic programming for image retrieval.
Cristiano D. FerreiraJefersson A. dos SantosRicardo da Silva TorresMarcos André GonçalvesRodrigo Carvalho RezendeWeiguo FanPublished in: Pattern Recognit. Lett. (2011)
Keyphrases
- genetic programming
- relevance feedback
- image retrieval
- fitness function
- retrieval accuracy
- evolutionary algorithm
- image database
- low level features
- information retrieval systems
- symbolic regression
- image search
- cbir systems
- document retrieval
- user feedback
- gene expression programming
- visual features
- query expansion
- image content
- evolutionary computation
- retrieval precision
- financial forecasting
- feedback information
- grammar guided genetic programming
- region based image retrieval
- image retrieval systems
- content based retrieval
- information retrieval
- genetic algorithm
- retrieved images
- query refinement
- visual content
- text retrieval
- relevant documents
- retrieval process
- retrieval method
- image collections
- image annotation
- retrieval model
- image representation
- test collection
- web image retrieval
- negative feedback
- feature space