A new polynomial-time algorithm for linear programming
Combinatorica
Sensitivity of constrained Markov decision processes
Annals of Operations Research
Quality adaptation for congestion controlled video playback over the Internet
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Adaptive rate control for streaming stored fine-grained scalable video
NOSSDAV '02 Proceedings of the 12th international workshop on Network and operating systems support for digital audio and video
Finite State Markovian Decision Processes
Finite State Markovian Decision Processes
Compression and reliable transmission of digital image and video signals
Compression and reliable transmission of digital image and video signals
Resource allocation for multimedia streaming over the Internet
IEEE Transactions on Multimedia
Rate-distortion optimized streaming of packetized media
IEEE Transactions on Multimedia
Video transport over wireless channels: a cycle-based approach for rate control
Proceedings of the 12th annual ACM international conference on Multimedia
Towards a structure-aware failure semantics for streaming media communication models
Journal of Parallel and Distributed Computing
Cache architecture for on-demand streaming on the Web
ACM Transactions on the Web (TWEB)
Video streaming over the internet with optimal bandwidth resource allocation
Multimedia Tools and Applications
An opportunistic video scheduling algorithm over shared wireless downlink
Computer Communications
End-to-end stochastic scheduling of scalable video overtime-varying channels
Proceedings of the international conference on Multimedia
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We consider streaming layered video (live and stored) over a lossy packet network in order to maximize the video quality that is rendered at the receiver. We propose a framework, called joint scheduling and error concealment (Joint S+EC), in which packet scheduling decisions at the sender explicitly account for the error concealment mechanism at the receiver. We show how the theory of infinite--horizon, average--reward Markov decision processes (MDPs) with average--cost constraints can be applied to the joint scheduling and error concealment problem for low--delay transmission channels. The formulation allows for a wide variety of performance metrics, including metrics that take quality variation into account. We demonstrate the framework and MDP solution procedure using MPEG--4 FGS video traces. The main conclusions are (1) Joint S+EC optimal policies perform better than Disjoint S+EC optimal policies, and (2) the performance of the optimal Disjoint S+EC policy is not significantly better than very simple static policies.