Sparse spatial selection for novelty-based search result diversification
SPIRE'11 Proceedings of the 18th international conference on String processing and information retrieval
Modelling efficient novelty-based search result diversification in metric spaces
Journal of Discrete Algorithms
Efficient and robust large medical image retrieval in mobile cloud computing environment
Information Sciences: an International Journal
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We present an image retrieval system based on a combined search of text and content. The idea is to use the text present in title, description, and tags of the images for improving the results obtained with a standard content-based search. The system contains two different user interfaces: a sidebar for the browser designed for end users, where the user must enter the Flickr URL that is visiting and the system retrieves similar images from the collection, and an advanced search designed for experienced users, where the distance functions and weights can be customized.