Convolutional neural networks for relevance feedback in content based image retrieval.
Lorenzo PutzuLuca PirasGiorgio GiacintoPublished in: Multim. Tools Appl. (2020)
Keyphrases
- relevance feedback
- convolutional neural networks
- image retrieval
- improve the retrieval accuracy
- information retrieval systems
- image search
- document retrieval
- information retrieval
- user feedback
- convolutional network
- low level visual features
- cbir systems
- active learning
- low level features
- query expansion
- feedback information
- multimedia content
- retrieval accuracy
- web images
- negative feedback
- web content
- relevant documents
- document collections
- low level
- image retrieval systems
- metadata
- machine learning