Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.displa.2007.08.013
Title: Empirical comparison of image retrieval color similarity methods with human judgment
Authors: Chan, H.C. 
Keywords: Histogram matching
Human similarity judgment
Image retrieval
User issues
Issue Date: 2008
Source: Chan, H.C. (2008). Empirical comparison of image retrieval color similarity methods with human judgment. Displays 29 (3) : 260-267. ScholarBank@NUS Repository. https://doi.org/10.1016/j.displa.2007.08.013
Abstract: It is important to verify assumptions and methods of image retrieval against actual human behavior. A study was conducted to compare similarity methods of color histograms against human assessment of similarity. The similarity methods tested include basic histogram intersection, center histogram matching, locality histogram matching, and size-weighted histogram matching. 161 subjects participated in the empirical study. The findings, based on Spearman correlation analysis, showed that both the basic histogram intersection method and size-weighted histogram are very close to human assessment of similarity (Spearman correlation coefficient of 0.915). The other two are not close to human judgment on similarity. This study illustrates an alternative approach to evaluating matching algorithms. Unlike the usual measures of recall and precision, this approach emphasizes human validation. Fewer images are required with the use of statistical testing. © 2007 Elsevier B.V. All rights reserved.
Source Title: Displays
URI: http://scholarbank.nus.edu.sg/handle/10635/42474
ISSN: 01419382
DOI: 10.1016/j.displa.2007.08.013
Appears in Collections:Staff Publications

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