JEI Letters

Thin-slice vision: inference of confidence measure from perceptual video quality

[+] Author Affiliations
Abdul Hameed

COMSATS Institute of Information Technology, Department of Computer Science, Academic Block-2, Park Road, Tarlai Kalan, Islamabad 45550, Pakistan

Benjamin Balas

North Dakota State University, Psychology Department, 1210 Albrecht Boulevard, Fargo, North Dakota 58102, United States

Rui Dai

University of Cincinnati, Department of Electrical Engineering and Computing Systems, 812 Rhodes Hall, Cincinnati, Ohio 45221, United States

J. Electron. Imaging. 25(6), 060501 (Dec 21, 2016). doi:10.1117/1.JEI.25.6.060501
History: Received June 22, 2016; Accepted December 5, 2016
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Abstract.  There has been considerable research on thin-slice judgments, but no study has demonstrated the predictive validity of confidence measures when assessors watch videos acquired from communication systems, in which the perceptual quality of videos could be degraded by limited bandwidth and unreliable network conditions. This paper studies the relationship between high-level thin-slice judgments of human behavior and factors that contribute to perceptual video quality. Based on a large number of subjective test results, it has been found that the confidence of a single individual present in all the videos, called speaker’s confidence (SC), could be predicted by a list of features that contribute to perceptual video quality. Two prediction models, one based on artificial neural network and the other based on a decision tree, were built to predict SC. Experimental results have shown that both prediction models can result in high correlation measures.

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© 2016 SPIE and IS&T

Topics

Video ; Vision

Citation

Abdul Hameed ; Benjamin Balas and Rui Dai
"Thin-slice vision: inference of confidence measure from perceptual video quality", J. Electron. Imaging. 25(6), 060501 (Dec 21, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.6.060501


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