Exploiting the layer correlation to improve DASH scheduling with scalable video coding
Exploiting the layer correlation to improve DASH scheduling with scalable video coding
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利用层相关性通过可扩展视频编码改进 DASH 调度
DOI：
10.1016/j.comnet.2020.107116
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发表时间：
2020-04
影响因子：
5.6
通讯作者：
Chen Jiasi
中科院分区：
文献类型：
--
作者：
Zhang Guoqiang;Wu Yue;Han Xu;Gao Qian;Chen Jiasi
DASH是一种很有前途的视频流解决方案，它可以优雅地处理网络吞吐量波动以及终端异构性。在DASH中，MPD文件描述了可用的视频质量及其平均比特率。但是，粗粒度的平均比特率对于精确的客户端调度器来说是不够的。比特率高估或低估要获取的段的带宽需求可能导致次优调度决策，并可能耗尽回放缓冲区。在本文中，我们首先观察到，使用SVC，不同层之间的视频片段表现出高度的尺寸相关性。结果表明，增强层段的大小可以通过相应的基础层段来预测，并且具有较高的精度。基于这一观察结果，我们用一个大小预测器增强了现有的基于速率和基于缓冲的自适应比特率（ABR）算法，该算法与现有的自适应逻辑正交。结果表明，通过大小预测器的增强，平均播放比特率可以提高20%，播放延迟也可以显着减少。我们的结果表明，与带宽预测器类似，大小预测器也应该添加到基于svc的ABR算法中，以提高性能增益。
DASH is a promising video streaming solution that gracefully deals with network throughput fluctuations as well as terminal heterogeneity. In DASH, an MPD file describes the available video qualities and their average bitrates. However, the coarse-grained average bitrate is insufficient for an accurate client-side scheduler. The bitrate overestimate or underestimate of bandwidth requirements for segments to be fetched could result in suboptimal scheduling decisions and possibly drain the playback buffer. In this paper, we first made the observation that with SVC, video segments across different layers exhibit high size correlation. We then showed that enhancement layer segment size can be predicted by the corresponding base layer segment with relatively high accuracy. Based on this observation, we enhanced existing rate-based and buffered-based adaptive bitrate (ABR) algorithms with a size predictor, which is orthogonal to existing adaptation logics. Results show that augmented by the size predictor, the average playback bitrate can be improved by up to 20% and playback stalls can also be significantly reduced. Our results demonstrated that similar to the bandwidth predictor, a size predictor should also be added to SVC-based ABR algorithms to increase the performance gain.
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DOI：
10.1109/tcsvt.2007.905532
发表时间：
2007-09-01
影响因子：
8.4
作者：
Schwarz, Heiko;Marpe, Detlev;Wiegand, Thomas
通讯作者：
Wiegand, Thomas
DOI：
10.1109/infocom.2016.7524428
发表时间：
2016-01
期刊：
IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications
影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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作者：
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