A real-time video quality estimator for emerging wireless multimedia systems

Elisangela Aguiar, André Riker, Eduardo Cerqueira, Mu Mu, Antônio Abelém, Torsten Braun, Marilia Curado, Sherali Zeadally

Research output: Contribution to JournalArticlepeer-review

Abstract

Wireless Mesh Networks (WMNs) are increasingly deployed to enable thousands of users to share, create, and access live video streaming with different characteristics and content, such as video surveillance and football matches. In this context, there is a need for new mechanisms for assessing the quality level of videos because operators are seeking to control their delivery process and optimize their network resources, while increasing the user’s satisfaction. However, the development of in-service and non-intrusive Quality of Experience assessment schemes for real-time Internet videos with different complexity and motion levels, Group of Picture lengths, and characteristics, remains a significant challenge. To address this issue, this article proposes a nonintrusive parametric real-time video quality estimator, called MultiQoE that correlates wireless networks’ impairments, videos’ characteristics, and users’ perception
into a predicted Mean Opinion Score. An instance of MultiQoE was implemented in WMNs and performance evaluation results demonstrate the efficiency and accuracy of MultiQoE in predicting the user’s perception of live video streaming services when compared to subjective, objective, and well-known parametric solutions.
Original languageEnglish
JournalWireless Networks
Volume20
Issue number7
Early online date6 Mar 2014
DOIs
Publication statusPublished - Oct 2014

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