A novel Bayesian framework for relevance feedback in image content-based retrieval systems.
Esther de VesJuan DomingoGuillermo AyalaPedro ZuccarelloPublished in: Pattern Recognit. (2006)
Keyphrases
- bayesian framework
- retrieval systems
- image retrieval
- relevance feedback
- information retrieval systems
- retrieval process
- retrieval model
- text retrieval
- generative model
- bayesian formulation
- prior knowledge
- information retrieval
- posterior probability
- retrieved documents
- text queries
- maximum a posteriori
- query expansion
- multimedia retrieval
- multimedia
- search engine
- average precision
- video retrieval
- image collections
- retrieval effectiveness
- image classification
- relevance judgments
- visual features
- relevant images
- learning to rank
- active learning
- expectation maximization
- semi supervised
- probabilistic model
- probability density function
- image search
- action recognition
- image segmentation
- document collections
- image processing
- em algorithm