A novel long-term learning algorithm for relevance feedback in content-based image retrieval.
Hui LuXianglin HuangLifang YangMin LiuPublished in: Telecommun. Syst. (2013)
Keyphrases
- relevance feedback
- long term
- learning algorithm
- image retrieval
- active learning
- improve the retrieval accuracy
- short term
- information retrieval systems
- user feedback
- image search
- information retrieval
- low level visual features
- retrieval accuracy
- query expansion
- cbir systems
- machine learning
- document retrieval
- feedback information
- machine learning algorithms
- relevant documents
- low level features
- unlabeled data
- retrieval framework
- image retrieval systems
- training data
- retrieval process
- retrieval precision
- reinforcement learning
- training examples
- supervised learning
- low level image features
- multimedia data
- object retrieval
- metadata
- multimedia
- learning process