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Video Quality Estimator for Wireless Mesh Networks

Research output: Contribution in Book/Report/ProceedingsPaper


  • Elisangela Aguiar
  • André Riker
  • Antonio Jorge Gomes Abelem
  • Eduardo Cerqueira
  • Mu Mu
Publication date2012
Host publicationQuality of Service (IWQoS), 2012 IEEE 20th International Workshop on
PublisherIEEE International Workshop on Quality of Service
Number of pages9
ISBN (Electronic)978-1-4673-1297-4
ISBN (Print)978-1-4673-1296-7
Original languageEnglish


As Wireless Mesh Networks (WMNs) have been increasingly deployed, where users can share, create and access videos with different characteristics, the need for new quality estimator mechanisms has become important because operators want to control the quality of video delivery and optimize their network resources, while increasing the user satisfaction. However, the development of in-service Quality of Experience (QoE) estimation schemes for Internet videos (e.g., real-time streaming and gaming) with different complexities, motions, Group of Picture (GoP) sizes and contents remains a significant challenge and is crucial for the success of wireless multimedia systems. To address this challenge, we propose a real-time quality estimator approach, HyQoE, for real-time multimedia applications. The performance evaluation in a WMN scenario demonstrates the high accuracy of HyQoE in estimating the Mean Opinion Score (MOS). Moreover, the results highlight the lack of performance of the well-known objective methods and the Pseudo-Subjective Quality Assessment (PSQA) approach.