A Lazy Processing Approach to User Relevance Feedback for Content-Based Image Retrieval.
Sirikunya NilpanichKien A. HuaAntoniya PetkovaYao Hua HoPublished in: ISM (2010)
Keyphrases
- relevance feedback
- user feedback
- image retrieval
- query expansion
- feedback information
- improve the retrieval accuracy
- active learning
- image search
- low level visual features
- information retrieval systems
- low level features
- pseudo relevance feedback
- information retrieval
- user experience
- real time
- retrieval model
- retrieval effectiveness
- document retrieval
- retrieval process
- cbir systems
- retrieval framework
- targeted advertising
- positive and negative feedback
- retrieval accuracy
- web content
- relevant documents
- feature weighting
- multiple users
- multimedia content
- user model
- retrieval precision
- negative feedback
- recommender systems
- learning algorithm