Towards simple and smooth rate adaption for VBR video in DASH
Towards simple and smooth rate adaption for VBR video in DASH
复制标题
DOI：
10.1109/vcip.2014.7051491
复制
发表时间：
2014-12
期刊：
影响因子：
--
通讯作者：
Yanping Zhou;Y. Duan;Jun Sun;Zongming Guo
中科院分区：
文献类型：
--
作者：
Yanping Zhou;Y. Duan;Jun Sun;Zongming Guo
HTTP上的动态自适应流传输（DASH）中的速率自适应被广泛应用以使传输速率适应变化的网络容量。对于可变比特率（VBR）编码视频的速率自适应，正确识别和解决带宽和段比特率的动态变化仍然是一个挑战。在本文中，客户端缓冲区水平变化（TBLV）的趋势进行了分析，是一个更有效的度量检测带宽和段比特率的动态相比，以前的指标。然后，一个部分线性趋势预测模型的发展，以准确地估计TBLV。最后，基于该预测模型，设计了一种简单的码率自适应算法，实现了高效平滑的视频质量等级调整。实验结果表明，在保持相似的平均视频质量，该算法实现了高达47.3%的改善率自适应平滑相比，现有的工作。
Rate adaption in Dynamic Adaptive Streaming over HTTP (DASH) is widely applied to adapt the transmission rate to varying network capacity. For rate adaption on variable bitrate (VBR) encoded video, it is still a challenge to properly identify and address the dynamics of bandwidth and segment bitrate. In this paper, the trend of client buffer level variation (TBLV) is analyzed to be a more effective metric for detecting the dynamics of bandwidth and segment bitrate compared to previous metrics. Then, a partial-linear trend prediction model is developed to accurately estimate TBLV. Finally, based on the prediction model, a novel simple rate adaption algorithm is designed to achieve efficient and smooth video quality level adjustment. Experimental results show that while maintaining similar average video quality, the proposed algorithm achieves up to 47.3% improvement in rate adaption smoothness compared to the existing work.