Performance Evaluation of Relevance Feedback for Image Retrieval by "Real-World" Multi-Tagged Image Datasets.
Roberto TronciLuca PirasGiorgio GiacintoPublished in: Int. J. Multim. Data Eng. Manag. (2012)
Keyphrases
- relevance feedback
- image retrieval
- real world
- information retrieval systems
- document retrieval
- image search
- cbir systems
- image database
- image retrieval systems
- pseudo relevance feedback
- active learning
- information retrieval
- region based image retrieval
- retrieval precision
- image content
- retrieval accuracy
- low level features
- retrieval process
- query expansion
- feedback information
- wide range
- visual content
- data sets
- retrieval effectiveness
- retrieval framework
- content based retrieval
- image annotation
- relevant documents
- synthetic data
- visual features
- user feedback
- image collections
- retrieval model
- image representation
- data mining
- web image retrieval
- negative feedback