用于低延迟自适应视频流的缓冲动态稳定器

Yongtao Shuai, T. Herfet
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引用次数: 4

摘要

基于http的自适应流媒体是当今互联网上占主导地位的视频传输模式。然而,由于客户端明显缺乏缓冲区动态稳定,最先进的比特率自适应算法不适合低延迟自适应视频流。较小的缓冲区大小对网络吞吐量和所选视频块的平均比特率不匹配所造成的缓冲区波动缺乏弹性。本文介绍了一种比特率自适应算法,尽管缓冲延迟小到块持续时间,但它可以最大限度地减少与期望水平的缓冲偏差。我们使用两个评估框架展示了我们的算法在体验质量(QoE)方面的性能,并将其与两种知名的流媒体算法,节日和DASH VLC插件进行比较。初步结果表明,该算法在仿真框架下的QoE提高了至少11%,在仿真框架下的QoE提高了4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A buffer dynamic stabilizer for low-latency adaptive video streaming
HTTP-based adaptive streaming is today's predominating video delivery model over Internet. However, state-of-the-art bitrate adaptation algorithms are not suitable for low-latency adaptive video streaming due to a distinct lack of buffer dynamic stabilization at the client. A small buffer size lacks resilience to the buffer fluctuation imposed by the mismatch between the network throughput and the average bitrate of the selected video chunk. This paper introduces a bitrate adaptation algorithm that minimizes buffer deviation from the desired level despite a buffering delay as small as a chunk-duration. We demonstrate the performance of our algorithm with respect to the quality-of-experience (QoE) using two evaluation frameworks and compare it against two well-known streaming algorithms, FESTIVE and DASH VLC plugin. The preliminary results show that our algorithm achieves at least 11% higher QoE in the simulation framework and 4% in the emulation framework.
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