Subjective quality estimation based on neural networks for stereoscopic videos

Malekmohamadi, Hossein and Fernando, W. A. C. and Danish, E. and Kondoz, A. M. (2014) Subjective quality estimation based on neural networks for stereoscopic videos. In: IEE International Conference on Consumer Electronics (ICCE) 2014, 10-13 January 2014, Las Vegas, USA.

Full content URL: http://dx.doi.org/10.1109/ICCE.2014.6775929

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Item Type:Conference or Workshop contribution (Poster)
Item Status:Live Archive

Abstract

A neural network based technique is proposed to estimate subjective quality of stereoscopic videos. Moreover, to utilize this model for applications where availability of reference signal is not possible to receiver, it applies objective quality of video with minimum dependency on reference signal. This paper presents fast, accurate and consistent subjective quality estimation. Feasibility and accuracy of the proposed technique is thoroughly analyzed with extensive subjective experiments and simulations. Results illustrate that performance measure of 92.3% in subjective quality estimation can be achieved with the proposed technique.

Keywords:Neural networks
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
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ID Code:12759
Deposited On:21 Dec 2013 13:11

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