A Neural Network Based Test Bed for Evaluating the Quality of Video Streams in IP Networks

Author

Frank, Pablo ; Incera, José

Author_Institution

Inst. Tecnologico Autonomo de Mexico, Mexico City

Volume

1

fYear

2006

fDate

Sept. 2006

Firstpage

178

Lastpage

183

Abstract

We introduce a modular methodology for evaluating the perceived quality of video streams in simulated packet networks through the use of artificial neural networks. One particular implementation of the test bed is presented and the results obtained with it under simple network configurations are discussed. Our tool was able to accurately predict the MOS scores of human viewers. Other applications of the test bed are also presented. For data analysis, we found that the usual parameters that can be controlled in an MPEG-4 codec do not have such a strong influence on the perceived video quality as a good network design that protects the video flows may do

Keywords

IP networks; multimedia communication; neural nets; video signal processing; video streaming; IP network; artificial neural network; multimedia communication; video quality; video streaming; Artificial neural networks; Codecs; Data analysis; Humans; IP networks; MPEG 4 Standard; Neural networks; Protection; Streaming media; Testing; Qualitative evaluation; converged networks; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2006

Conference_Location

Cuernavaca

Print_ISBN

0-7695-2569-5

Type

conf

DOI

10.1109/CERMA.2006.7

Filename

4019734