Kernel Vector Approximation Files for Relevance Feedback Retrieval in Large Image Databases.
Douglas R. HeisterkampJing PengPublished in: Multim. Tools Appl. (2005)
Keyphrases
- relevance feedback
- image retrieval
- cbir systems
- image database
- retrieval precision
- similarity retrieval
- information retrieval systems
- retrieval model
- retrieval process
- document retrieval
- query expansion
- retrieval framework
- retrieval accuracy
- low level visual features
- information retrieval
- content based retrieval
- image retrieval systems
- image search
- low level features
- feature space
- visual features
- euclidean norm
- feature vectors
- relevant documents
- kernel function
- kernel methods
- sparck jones
- image content
- efficient retrieval
- user feedback
- vector space
- retrieval method
- retrieved images
- retrieving images
- initial query
- retrieved documents
- image representation
- document collections
- active learning
- machine learning
- support vector
- query refinement
- retrieval scheme
- retrieval effectiveness