Adaptive rate control for streaming stored fine-grained scalable video

Abstract

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.

On effectively exploiting multiple wireless interfaces in mobile hosts

“…Each generic principle describes an approach of leveraging multiple interfaces of wireless devices that can increase throughput beyond the sum of the parts. We pick rate-adaptive video streaming [7] for the case study since it is a popular UDP application in the Internet. In such systems, the server sends video streams in the form of UDP datagrams to clients.…”

Adaptive QoS Framework for Multiview 3D Streaming

“…Salehi [5] proposed an optimal rate smoothing algorithm based on the traffic smoothing technique to achieve minimum variability of the transmission rate. Cuetos et al [2] proposed to find a shortest path to minimize variability. Nelakuditi et al [4] accomplished the maximum reduction of quality variability for layered CBR video using bidirectional layer selection.…”

A transparent rate adaptation algorithm for streaming video over the internet

“…Specifically, a number of pioneering researchers have investigated algorithms to adapt the video bit-rate to the network bandwidth available [1][2][3][4][5]. For example, when the network becomes congested, the sender will reduce the bit-rate of the encoded video to alleviate the congestion.…”

“…This problem has recently been studied by a number of researchers, including the studies by Rejaie, et al [4] and Assuncao and Ghanbari [5] which adopted UDP as the network transport; and the studies by Cuetos and Ross [1], Cuetos, et al [2], and Jacobs and Eleftheriadis [3] which adopted TCP as the network transport.…”

“…A common property of these adaptation algorithms is the existence of a configurable operating parameter [1][2], which is typically used in the feedback loop of the algorithms. Not surprisingly, as will be illustrated in Section 5, the choice of this operating parameter will significantly affect the performance of the rate adaptation algorithm.…”