Adaptive relevance feedback for fusion of text and visual features.
Leszek KaliciakHans I. MyrhaugAyse GökerDawei SongPublished in: FUSION (2015)
Keyphrases
- visual features
- image retrieval
- relevance feedback
- late fusion
- image search
- keywords
- bridge the semantic gap
- low level features
- web images
- cbir systems
- visual information
- image classification
- visual content
- text retrieval
- low level visual features
- image annotation
- information retrieval
- image collections
- textual features
- textual information
- semantic features
- semantic concepts
- text queries
- visual appearance
- global features
- image database
- low level
- image content
- information retrieval systems
- image representation
- content based retrieval
- key frames
- textual and visual features
- semantic gap
- text mining
- text documents
- visual similarity
- active learning
- query expansion
- multiple features
- text classification
- automatic image annotation
- multimedia documents
- low level features and high level
- visual and textual features