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引用次数: 1
摘要
“Over the top”(OTT)已经成为一种越来越流行的语音和视频通信方式。由Skype开创的无所不在的OTT通信,随着最近发布的WebRTC,已经成为各种应用程序随时可用的商品,无需额外安装。然而,尽管取得了这些进步,媒体通信仍然具有挑战性,因为用户的期望始终领先于技术进步,便携式设备正在成为常态。在实践中,这意味着媒体流必须不断适应不同的网络条件,以确保可靠!-为用户提供最佳体验。本文提出了一种视频流的发送端自适应算法,该算法在权衡冗余和吞吐量以最大化质量的同时最小化丢失的可能性,从而保持服务的连续性。通过利用不同冗余级别的标准FEC机制,同时控制媒体交付的质量,我们创建了一个离散参数空间,该算法基于质量反馈利用该空间。我们在一些参考测试用例中研究了该算法的性能,并讨论了它如何改进先前的和相关的建议。
An adaptation mechanism for robust OTT video transmission
“Over the top” (OTT) has become an increasingly popular form of delivery for voice and video communications. Ubiquitous OTT communications, pioneered by Skype, have, with the recent release of WebRTC, become a commodity readily available for various applications, without a need for extra installations. Still, in spite of such progress, media communications remain challenging as user expectations are keeping ahead of technology progress and portable devices are becoming the norm. In practical terms, this means that media flows must constantly adapt to varying network conditions to try to -reliably!- offer the best experience to the users. We present in this paper a sender-side adaptation algorithm for video flows which trades off redundancy and throughput to maximize quality while minimizing the likelihood of loss, thus preserving service continuity. By exploiting standard FEC mechanisms at different levels of redundancy while controlling the quality of media delivered, we create a discrete parameter space which the algorithm exploits based on quality feedback. We study the performance of this algorithm in a number of reference test cases and discuss how it improves on earlier and related proposals.