Zdziarski, Zbigniew and Dahyot, Rozenn (2012) Feature Selection Using Visual Saliency for Content-Based Image Retrieval. IET Irish Signals and Systems Conference (ISSC 2012).

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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.

Item Type:	Article
Keywords:	visual saliency; content-based image retrieval; image classification;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15270
Identification Number:	https://doi.org/10.1049/ic.2012.0194
Depositing User:	Rozenn Dahyot
Date Deposited:	18 Jan 2022 16:28
Journal or Publication Title:	IET Irish Signals and Systems Conference (ISSC 2012)
Publisher:	IET
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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