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Permanent link (DOI): https://doi.org/10.7939/R3M98K

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Theses and Dissertations

A Measure of Perceptual Aliasing in Image Descriptors Open Access

Descriptions

Other title
Subject/Keyword
discriminating power
performance metric
spectral clustering
image descriptors
perceptual aliasing
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Wang, Jiemin
Supervisor and department
Zhang, Hong (Computing Science)
Examining committee member and department
Szepesvári, Csaba (Computing Science)
Ray, Nilanjan (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2013-07-08T09:56:24Z
Graduation date
2013-11
Degree
Master of Science
Degree level
Master's
Abstract
This thesis is concerned with a measure of perceptual aliasing in image descriptors. Perceptual aliasing occurs when the one-to-one mapping relations between world states (objects) and their representation (descriptors) are not maintained. Our method measures the discriminating power of an image descriptor in terms of its ability to distinguish between images of different objects and to match images of the same object. Specifically, our method runs spectral clustering on the similarity matrix computed with descriptors of known image clusters and measures the performance of an image descriptor by its ability to maintain the original clusters, using two indices, MRI-1 and MRI-2, that are based on the Rand index. Experiments on MRI versus precision and recall show that our proposed metrics are more appropriate for applications such as content-based image retrieval in which image clustering is a critical step.
Language
English
DOI
doi:10.7939/R3M98K
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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