Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval.
Maria TzelepiAnastasios TefasPublished in: SETN (2016)
Keyphrases
- relevance feedback
- convolutional neural networks
- image retrieval
- improve the retrieval accuracy
- image search
- document retrieval
- active learning
- information retrieval systems
- low level visual features
- query expansion
- retrieval framework
- feedback information
- information retrieval
- convolutional network
- retrieval model
- image database
- query refinement
- low level features
- pseudo relevance feedback
- retrieval effectiveness
- relevant documents
- metadata
- visual content
- cbir systems
- web images
- user feedback
- feature weighting
- object detection
- multiresolution
- image retrieval systems
- retrieval precision
- multimedia
- feature selection