Improving Relevance Feedback for Image Retrieval with Asymmetric Sampling.
Biao NiuJian ChengHanqing LuPublished in: ICME (2012)
Keyphrases
- relevance feedback
- image retrieval
- image database
- negative feedback
- retrieval accuracy
- document retrieval
- low level features
- user feedback
- retrieval precision
- cbir systems
- image search
- visual features
- query expansion
- retrieval method
- image content
- information retrieval systems
- image annotation
- monte carlo
- region based image retrieval
- feedback information
- image matching
- retrieval model
- retrieved images
- visual content
- image collections
- relevant images
- pseudo relevance feedback
- retrieval effectiveness
- content based retrieval
- multiple features
- retrieval process
- image similarity
- query refinement
- random sampling
- low level visual features
- image retrieval systems
- active learning
- feature selection
- feature space