Video Traces for Network Performance Evaluation: A Comprehensive Overview and Guide on Video Traces and Their Utilization in Networking Research
EURASIP Journal on Applied Signal Processing
Not All Packets Are Equal, Part I: Streaming Video Coding and SLA Requirements
IEEE Internet Computing
Impact of Video Content on Video Quality for Video over Wireless Networks
ICAS '09 Proceedings of the 2009 Fifth International Conference on Autonomic and Autonomous Systems
The Computer Journal
A framework for end-to-end video quality prediction of MPEG video
Journal of Visual Communication and Image Representation
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
CNSR '10 Proceedings of the 2010 8th Annual Communication Networks and Services Research Conference
Study of subjective and objective quality assessment of video
IEEE Transactions on Image Processing
Visual quality assessment algorithms: what does the future hold?
Multimedia Tools and Applications
Learning in the feed-forward random neural network: A critical review
Performance Evaluation
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
A study of real-time packet video quality using random neural networks
IEEE Transactions on Circuits and Systems for Video Technology
Inferring video QoE in real time
IEEE Network: The Magazine of Global Internetworking
QoE-based packet drop control for 3D-video streaming over wireless networks
Proceedings of the 7th Latin American Networking Conference
An OMNeT++ framework to evaluate video transmission in mobile wireless multimedia sensor networks
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
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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.