Multimodal retrieval with relevance feedback based on genetic programming.
Rodrigo Tripodi CalumbyRicardo da Silva TorresMarcos André GonçalvesPublished in: Multim. Tools Appl. (2014)
Keyphrases
- relevance feedback
- genetic programming
- image retrieval
- retrieval accuracy
- information retrieval systems
- query expansion
- retrieval precision
- document retrieval
- retrieval framework
- information retrieval
- retrieval model
- retrieval process
- fitness function
- cbir systems
- evolutionary computation
- symbolic regression
- image database
- user feedback
- gene expression programming
- image retrieval systems
- sparck jones
- low level features
- active learning
- image search
- retrieved images
- grammar guided genetic programming
- web retrieval
- relevant documents
- multi modal
- feature weighting
- cross modal
- query refinement
- content based retrieval
- audio visual
- learning algorithm
- pseudo relevance feedback
- vector space model
- initial query
- retrieval effectiveness
- web search
- probabilistic retrieval model
- user system interaction
- evolutionary algorithm