Zdziarski, Zbigniew and Dahyot, Rozenn
(2012)
Feature Selection Using Visual Saliency for Content-Based Image Retrieval.
IET Irish Signals and Systems Conference (ISSC 2012).
Abstract
Saliency algorithms in content-based image retrieval are employed to retrieve the most important regions of an image with the idea that these regions hold
the essence of representative information. Such regions are then typically analysed and
described for future retrieval/classification tasks rather than the entire image itself -
thus minimising computational resources required. We show that we can select a small
number of features for indexing using a visual saliency measure without reducing the
performance of classifiers trained to find objects.
Repository Staff Only(login required)
 |
Item control page |
Downloads per month over past year
Origin of downloads
Altmetric
Altmetric