This paper describes the participation of the Bioingenium Research Group in the ad hoc Medical Image Retrieval task for the 2010 ImageCLEF forum. The work aimed to explore semantic...
Jose G. Moreno, Juan C. Caicedo, Fabio A. Gonz&aac...
With the advent and proliferation of digital cameras and computers, the number of digital photos created and stored by consumers has grown extremely large. This created increasing...
Yi Wu, Igor Kozintsev, Jean-Yves Bouguet, Carole D...
In the light of image retrieval evolving from text annotation to content-based and from standalone applications to web-based search engines, we foresee the need for deploying cont...
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
In this paper, we present a large-scale object retrieval system. The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of i...
James Philbin, Ondrej Chum, Michael Isard, Josef S...