Gaussian mixture model for relevance feedback in image retrieval.
Fang QianMingjing LiLei ZhangHong-Jiang ZhangBo ZhangPublished in: ICME (1) (2002)
Keyphrases
- learning algorithm
- gaussian mixture model
- relevance feedback
- image retrieval
- active learning
- mixture model
- feature space
- image retrieval systems
- em algorithm
- cbir systems
- feature vectors
- image search
- gaussian mixture
- retrieval precision
- speaker recognition
- machine learning
- low level features
- maximum likelihood
- query expansion
- image database
- retrieval accuracy
- retrieval process
- supervised learning
- visual features
- background subtraction
- gaussian distribution
- information retrieval
- image content
- reinforcement learning
- image annotation
- expectation maximization
- speaker identification
- retrieved images
- visual words
- retrieval model
- color histogram
- mixture of gaussians
- video sequences
- language model
- face images
- semi supervised
- image processing