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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: | 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 |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/15270 |
| 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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