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Gibson, S. and Harvey, R. W. 
ORCID: https://orcid.org/0000-0001-9925-8316
(2001)
Morphological Color Quantization.
In: 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2001-12-08 - 2001-12-14.
Abstract
Color histograms are a central feature in many image retrieval systems. Indeed they are part of the MPEG-7 standard. But histograms suffer from the "curse of dimensionality" in which the number of bins increases exponentially with the number of dimensions. There is therefore an imperative for methods for simplifying histograms. This paper presents a new method for simplifying histograms based on a cascade of increasing-scale graph morphology filters. The system we choose preserves scale space causality and so preserves the modes of the histogram. The method is quick to compute so is therefore a practically useful feature. We present results using the MPEG-7 Common Color Dataset that show that these new compressed features have a retrieval performance that is equivalent to full histograms.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Interactive Graphics and Audio Faculty of Science > Research Groups > Smart Emerging Technologies |
| Depositing User: | Vishal Gautam |
| Date Deposited: | 18 Aug 2011 11:37 |
| Last Modified: | 23 Apr 2023 01:48 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/21714 |
| DOI: | 10.1109/CVPR.2001.991007 |
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