Open Access
Providing Smoother Quality Layered Video Stream
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TLDR
This work defines smoothness criteria, design metrics for measuring it, and develops off-line algorithms to maximize smoothness for the case where the network bandwidth is varying but known a priori, and describes an adaptive algorithm for providing smoothed layered video delivery that doesn't assume any knowledge about future bandwidth availability.Abstract:
In recent years, one of the most popular Internet applications is web-based audio and video playback, where stored video is streamed from the server to a client on-demand. Rigid playback deadlines coupled with constraints on resources such as network bandwidth and client buffer make video delivery a challenging task [2]. These resources could be limited in such a way that it may not be possible to deliver full-quality video. In such a situation, it is desirable to minimize the degradation in the video quality while operating within the resource constraints [9]. Layered encoding is proposed to provide finer control on video quality: the video signal is split into layers and a subset of these layers is chosen such that the resource constraints are met [5]. However it is not a trivial task to select layers such that better but consistent quality playback is ensured when the network conditions are constantly varying. In our work, we address this layer selection problem in layered video delivery and show how smoother 1 quality video playback can be provided by utilizing the client buffer for prefetching. We first define smoothness criteria, design metrics for measuring it, and then develop off-line algorithms to maximize smoothness for the case where the network bandwidth is varying but known a priori. We then describe an adaptive algorithm for providing smoothed layered video delivery that doesn’t assume any knowledge about future bandwidth availability. The results of our experiments for measuring and comparing the performance these schemes are then presented. We conclude the paper with a brief discussion on our future work.read more
Citations
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Subjective impression of variations in layer encoded videos
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Distributing layered encoded video through caches
TL;DR: A model for the layered video caching problem, based on the stochastic knapsack theory, is developed and heuristics to determine which videos and which layers in the videos should be cached in order to maximize the revenue from the streaming service are proposed.
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Adaptive rate control for streaming stored fine-grained scalable video
Philippe de Cuetos,Keith W. Ross +1 more
TL;DR: A real-time heuristic to stream fine-grained scalable video over the Internet and it is found that this 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.
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Layer-encoded video in scalable adaptive streaming
TL;DR: This work focuses on the scheduling of retransmissions of missing segments of a cached video in a manner that allows clients to receive the content in an improved quality and develops heuristics for retransmission scheduling that prove their applicability by conducting a series of simulations.
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Adaptive scalable video streaming in wireless networks
TL;DR: A reward parameter is defined in the proposed streaming strategy, which can be adjusted to make a good trade-off between the average playback quality and playback smoothness, and the feasibility of the proposed solution and its advantage over the existing work is shown.
References
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Proceedings ArticleDOI
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