Two Step Relevance Feedback for Semantic Disambiguation in Image Retrieval.
Daniel HeeschStefan M. RügerPublished in: VISUAL (2008)
Keyphrases
- relevance feedback
- image retrieval
- low level features
- natural language
- low level visual features
- image search
- retrieval precision
- cbir systems
- retrieval accuracy
- visual features
- information retrieval systems
- information retrieval
- active learning
- image content
- semantic gap
- query expansion
- retrieval process
- semantic concepts
- region based image retrieval
- image database
- retrieval method
- retrieval model
- semantic retrieval
- machine learning
- semantic features
- visual content
- document retrieval
- user feedback
- semantic information
- image retrieval systems
- retrieval effectiveness
- word sense disambiguation
- cross media
- image annotation
- retrieved images
- semantic annotation
- cross language information retrieval
- semantic similarity
- feature weighting
- user system interaction