Adaptive rate control for streaming stored fine-grained scalable video

In this paper we investigate adaptive streaming of stored fine grained scalable video over a TCP friendly connection. The goal is to develop low complexity yet high performing schemes that adequately adapt to the short and long term variations in available bandwidth. We first present a novel framework for low complexity streaming of fine grained scalable video over a TCP friendly connection. In the context of this scheme, and under the assumption of complete knowledge of bandwidth evolution, we derive an optimal policy for a criterion that involves both image quality and quality variability during playback. Based on this ideal optimal policy, we develop a real time heuristic to stream fine grained scalable video over the Internet, and we study its performance using real Internet traces. We find that our heuristic policy performs almost as well as the ideal optimal policy for a wide range of bandwidth scenarios and when run over ordinary TCP the policy is essentially as good as when running the policy over popular TCP friendly algorithms.