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Title:Near-duplicate image detection
Author(s):Baney, Douglas
Contributor(s):Kindratenko, Volodymyr
Subject(s):near-duplicate detection
image processing
image classification
video summarization
Abstract:Detecting near-duplicate images has applications in areas such as image search, video summarization, and copyright enforcement. In this study, we propose a new algorithm for generating feature vectors for images and investigate similarity matching techniques based on the proposed feature vectors. We also construct a dataset of near-duplicate images on which to test our algorithms. In comparing results on our own dataset and a standard benchmark dataset, we find that our methods are best applied in contexts which have a narrower definition of what constitutes near-duplicate images.
Issue Date:2019-05
Genre:Other
Type:Text
Language:English
URI:http://hdl.handle.net/2142/103996
Date Available in IDEALS:2019-06-13


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