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Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks
Joint Authors
Sun, Lingfen
Khan, Asiya
Liberal, Fidel
Fajardo, Jose-Oscar
Koumaras, Harilaos
Ifeachor, Emmanuel
Source
International Journal of Digital Multimedia Broadcasting
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-05-26
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Engineering Sciences and Information Technology
Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science
Abstract EN
The aim of this paper is to present video quality prediction models for objective non-intrusive, prediction of H.264 encoded video for all content types combining parameters both in the physical and application layer over Universal Mobile Telecommunication Systems (UMTS) networks.
In order to characterize the Quality of Service (QoS) level, a learning model based on Adaptive Neural Fuzzy Inference System (ANFIS) and a second model based on non-linear regression analysis is proposed to predict the video quality in terms of the Mean Opinion Score (MOS).
The objective of the paper is two-fold.
First, to find the impact of QoS parameters on end-to-end video quality for H.264 encoded video.
Second, to develop learning models based on ANFIS and non-linear regression analysis to predict video quality over UMTS networks by considering the impact of radio link loss models.
The loss models considered are 2-state Markov models.
Both the models are trained with a combination of physical and application layer parameters and validated with unseen dataset.
Preliminary results show that good prediction accuracy was obtained from both the models.
The work should help in the development of a reference-free video prediction model and QoS control methods for video over UMTS networks.
American Psychological Association (APA)
Khan, Asiya& Sun, Lingfen& Ifeachor, Emmanuel& Fajardo, Jose-Oscar& Liberal, Fidel& Koumaras, Harilaos. 2010. Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks. International Journal of Digital Multimedia Broadcasting،Vol. 2010, no. 2010, pp.1-17.
https://search.emarefa.net/detail/BIM-484712
Modern Language Association (MLA)
Khan, Asiya…[et al.]. Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks. International Journal of Digital Multimedia Broadcasting No. 2010 (2010), pp.1-17.
https://search.emarefa.net/detail/BIM-484712
American Medical Association (AMA)
Khan, Asiya& Sun, Lingfen& Ifeachor, Emmanuel& Fajardo, Jose-Oscar& Liberal, Fidel& Koumaras, Harilaos. Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks. International Journal of Digital Multimedia Broadcasting. 2010. Vol. 2010, no. 2010, pp.1-17.
https://search.emarefa.net/detail/BIM-484712
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484712