Gibson, S. and Harvey, R. W. ORCID: https://orcid.org/0000-0001-9925-8316 (2001) Recognition and retrieval via histogram trees. In: The British Machine Vision Conference, 2001-09-10 - 2001-09-13.
Full text not available from this repository. (Request a copy)Abstract
This paper explores a new method for analysing and comparing image histograms. The technique amounts to a novel way of backprojecting an image into one with fewer, statistically significant colours. When the method is tested with the COIL-100 and MPEG-7 data sets it is shown to have a performance that is as good as the best methods using fewer enteries than the original histogram. Therefore it offers the potential for extending the use of histograms into high dimensional feature spaces.
Item Type: | Conference or Workshop Item (Paper) |
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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 |
Related URLs: | |
Depositing User: | Vishal Gautam |
Date Deposited: | 18 Aug 2011 11:40 |
Last Modified: | 20 Jun 2023 14:34 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/21720 |
DOI: |
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