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Nonintrusive Method Based on Neural Networks for Video Quality of Experience Assessment
Joint Authors
Botia Valderrama, Diego José Luis
Gaviria Gómez, Natalia
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-27
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
The measurement and evaluation of the QoE (Quality of Experience) have become one of the main focuses in the telecommunications to provide services with the expected quality for their users.
However, factors like the network parameters and codification can affect the quality of video, limiting the correlation between the objective and subjective metrics.
The above increases the complexity to evaluate the real quality of video perceived by users.
In this paper, a model based on artificial neural networks such as BPNNs (Backpropagation Neural Networks) and the RNNs (Random Neural Networks) is applied to evaluate the subjective quality metrics MOS (Mean Opinion Score) and the PSNR (Peak Signal Noise Ratio), SSIM (Structural Similarity Index Metric), VQM (Video Quality Metric), and QIBF (Quality Index Based Frame).
The proposed model allows establishing the QoS (Quality of Service) based in the strategy Diffserv.
The metrics were analyzed through Pearson’s and Spearman’s correlation coefficients, RMSE (Root Mean Square Error), and outliers rate.
Correlation values greater than 90% were obtained for all the evaluated metrics.
American Psychological Association (APA)
Botia Valderrama, Diego José Luis& Gaviria Gómez, Natalia. 2016. Nonintrusive Method Based on Neural Networks for Video Quality of Experience Assessment. Advances in Multimedia،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1095301
Modern Language Association (MLA)
Botia Valderrama, Diego José Luis& Gaviria Gómez, Natalia. Nonintrusive Method Based on Neural Networks for Video Quality of Experience Assessment. Advances in Multimedia No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1095301
American Medical Association (AMA)
Botia Valderrama, Diego José Luis& Gaviria Gómez, Natalia. Nonintrusive Method Based on Neural Networks for Video Quality of Experience Assessment. Advances in Multimedia. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1095301
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1095301