Image retrieval model based on weighted visual features determined by relevance feedback.
Woo-Cheol KimJi-Young SongSeung-Woo KimSanghyun ParkPublished in: Inf. Sci. (2008)
Keyphrases
- visual features
- image retrieval
- relevance feedback
- image search
- visual information
- cbir systems
- low level features
- image database
- visual content
- image annotation
- content based retrieval
- image collections
- image content
- image representation
- low level visual features
- text retrieval
- image classification
- information retrieval systems
- semantic gap
- retrieval process
- visual appearance
- bridge the semantic gap
- automatic image annotation
- feature space
- global features
- image retrieval systems
- image matching
- low level
- web images
- semantic concepts
- query expansion
- visual words
- visual properties