Relevance Feedback for Content-Based Image Retrieval Using Support Vector Machines and Feature Selection.
Apostolos MarakakisNikolas P. GalatsanosAristidis LikasAndreas StafylopatisPublished in: ICANN (1) (2009)
Keyphrases
- relevance feedback
- feature selection
- image retrieval
- improve the retrieval accuracy
- feature weighting
- user feedback
- image search
- information retrieval systems
- low level visual features
- feature space
- retrieval accuracy
- text categorization
- machine learning
- information retrieval
- query expansion
- data sets
- retrieval framework
- relevant documents
- document retrieval
- web content
- metadata
- selected features
- cbir systems
- feature extraction
- active learning
- low level features
- dimensionality reduction
- mutual information
- multi class
- text classification
- feature set
- low level image features
- retrieval precision
- image database
- irrelevant features
- language model
- multimedia
- retrieval model
- visual features
- feature selection algorithms
- web documents
- web search engines
- retrieval effectiveness
- image content