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Impact of interaction strategies on user relevance feedback
User Relevance Feedback (URF) is a class of interactive learning methods that rely on the
interaction between a human user and a system to analyze a media collection. To improve …
interaction between a human user and a system to analyze a media collection. To improve …
[HTML][HTML] Reverse image search using deep unsupervised generative learning and deep convolutional neural network
Reverse image search has been a vital and emerging research area of information retrieval.
One of the primary research foci of information retrieval is to increase the space and …
One of the primary research foci of information retrieval is to increase the space and …
BUDA. ART: A Multimodal Content Based Analysis and Retrieval System for Buddha Statues
We introduce BUDA. ART, a system designed to assist researchers in Art History, to explore
and analyze an archive of pictures of Buddha statues. The system combines different CBIR …
and analyze an archive of pictures of Buddha statues. The system combines different CBIR …
A theory-based content-based image retrieval approach for capturing user preferences during query formulation
MAA Artemi - 2021 - uobrep.openrepository.com
Most image search systems rely on text-based retrieval. It is often challenging for users to
describe their search intents by describing images using keywords; these may lead to …
describe their search intents by describing images using keywords; these may lead to …