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