Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Robust and efficient stream delivery for application layer multicasting in heterogeneous networks
IEEE Transactions on Multimedia
IEEE Transactions on Wireless Communications
Open SVC decoder: a flexible SVC library
Proceedings of the international conference on Multimedia
Dynamic adaptive streaming over HTTP --: standards and design principles
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Feedback control for adaptive live video streaming
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Rate adaptation for adaptive HTTP streaming
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
iDASH: improved dynamic adaptive streaming over HTTP using scalable video coding
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Watching Video over the Web: Part 1: Streaming Protocols
IEEE Internet Computing
Priority-based Media Delivery using SVC with RTP and HTTP streaming
Multimedia Tools and Applications
Confused, timid, and unstable: picking a video streaming rate is hard
Proceedings of the 2012 ACM conference on Internet measurement conference
AdapComm: a bandwidth allocation methodology for multimedia applications in wireless networks
Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking
GTube: geo-predictive video streaming over HTTP in mobile environments
Proceedings of the 5th ACM Multimedia Systems Conference
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In this paper, we investigate the optimal streaming strategy for dynamic adaptive streaming over HTTP (DASH). Specifically, we focus on the rate adaptation algorithm for streaming scalable video (H.264/SVC) in wireless networks. We model the rate adaptation problem as a Markov Decision Process (MDP), aiming to find an optimal streaming strategy in terms of user-perceived quality of experience (QoE) such as playback interruption, average playback quality and playback smoothness. We then obtain the optimal MDP solution using dynamic programming. We further define a reward parameter in our proposed streaming strategy, which can be adjusted to make a good trade-off between the average playback quality and playback smoothness. We also use a simple testbed to validate our solution. Experiment results show the feasibility of the proposed solution and its advantage over the existing work.