Abstract

Nowadays, there is a quickly growing demand for the transmission of voice, video and data over an IP based network. Multimedia, whether we are talking about broadcast, audio and video transmission and others, from a global perspective is growing exponentially with time. With incoming requests from users, new technologies for data transfer are continually developing. Data must be delivered reliably and with the fewest losses at such high speed. Video quality as part of multimedia technology has a very important role nowadays. It is influenced by several factors, where each of them can have many forms and processing. Network performance is the major degradation effect that influences the quality of resulting image. Poor network performance (lack of link capacity, high network load…) causes data packet losses or different delivery time for each packet. This work focuses exactly on these network phenomena. It examines the impact of different delays and packet losses on the quality parameters of triple play services, to evaluate the results using objective methods. The aim of this work is to bring a detailed view on the performance of video streaming over IP-based networks.

Highlights

  • The growth of the Internet network is using more and more resources for performance analysis

  • In our previous works [4], [7], we focused on the quality of the triple play service prediction model implementation, where one part was dedicated to the quality of the video service

  • The aim of this work was to bring a detailed view of the performance of video streaming over an IP-based network

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Summary

Introduction

The growth of the Internet network is using more and more resources for performance analysis. This work compares the performance of the network from an experimental viewpoint. A video service is one-way service (except e.g. video calls) so network delay is not such an important factor as in voice service. Dominant network factors that influence the final video quality are especially packet loss, delay variation and the capacity of the transmisc 2014 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING sion links [1]. Analysis of video quality concentrates on the resistance of video codecs to packet loss in the network, which causes artefacts in the video [2], [3]. In our previous works [4], [7], we focused on the quality of the triple play service prediction model implementation, where one part was dedicated to the quality of the video service

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