Introduction to algorithms
Layered peer-to-peer streaming
NOSSDAV '03 Proceedings of the 13th international workshop on Network and operating systems support for digital audio and video
Live Video Streaming Using P2P and SVC
MMNS '08 Proceedings of the 11th IFIP/IEEE international conference on Management of Multimedia and Mobile Networks and Services: Management of Converged Multimedia Networks and Services
Analysis of peer-assisted video-on-demand systems with scalable video streams
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
An interview with video quality experts
ACM SIGMultimedia Records
Subjective impression of variations in layer encoded videos
IWQoS'03 Proceedings of the 11th international conference on Quality of service
Machine Learning Approach for Quality of Experience Aware Networks
INCOS '10 Proceedings of the 2010 International Conference on Intelligent Networking and Collaborative Systems
On the impact of quality adaptation in SVC-based P2P video-on-demand systems
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Flicker effects in adaptive video streaming to handheld devices
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard
IEEE Transactions on Circuits and Systems for Video Technology
Subjective Quality Evaluation via Paired Comparison: Application to Scalable Video Coding
IEEE Transactions on Multimedia
QoE-oriented 3D video transcoding for mobile streaming
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section of best papers of ACM multimedia 2011, and special section on 3D mobile multimedia
Subjective evaluation of critical success factors for a QoE aware adaptive system
Computer Communications
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The transmission of video data is a major part of traffic on today's Internet. Since the Internet is a highly dynamic environment, quality adaptation is essential in matching user device resources with the streamed video quality. This can be achieved by applying mechanisms that follow the Scalable Video Coding (SVC) standard, which enables scalability of the video quality in multiple dimensions. In SVC-based streaming, adaptation decisions have long been driven by Quality of Service (QoS) metrics, such as throughput. However, these metrics do not well match the way human users perceive video quality. Therefore, in this paper, the classical SVC-based video streaming approach is expanded to consider Quality of Experience (QoE) for adaptation decisions. The video quality is assessed using existing objective techniques with a high correlation to the human perception. The approach is evaluated in context of a P2P-based Video-on-Demand (VoD) system and shows that by making peers favor always layers with a high estimated QoE but not necessarily high bandwidth requirements, the performance of the entire system can be enhanced in terms of playback delay and SVC video quality by up to 20%. At the same time, content providers are able to reduce up to 60 of their server costs, compared to the classical QoS-based approach.