DocumentCode :
1966558
Title :
Network video quality assessment based on MDI
Author :
Zhiming Shi ; Hui Liu
Author_Institution :
Beijing Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
657
Lastpage :
661
Abstract :
In this paper, we explore the impact of network parameters on perceptual quality of network video. First we present an experiment to measure the network parameters of video in the presence of different network bandwidth. Then we propose a no-reference video quality assessment method based on Media delivery index (MDI). M5´ model tree, a data mining method which is good for segmental linearization of single-output multi-output system, was introduced to model the assessment method and its parameters. For all experimental data examined, our method yields high Pearson Correlation (higher than 0.95) with measured mean opinion score (MOS).
Keywords :
data mining; decision trees; quality of experience; quality of service; radio networks; video streaming; M5 model tree; MDI; MOS; Pearson Correlation; data mining method; mean opinion score; media delivery index; network parameter; network video quality assessment; segmental linearization; single-output multioutput system; Bandwidth; Loss measurement; Media; Quality assessment; Streaming media; Video recording; Video sequences; M5´model tree; MDI; network bandwidth; network factors; network video;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications Workshops (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/ICCW.2013.6649315
Filename :
6649315
Link To Document :
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