Reformed QoE-Based Approach in Bitrate-Adaptation for Dynamic Adaptive Streaming Systems
Reformed QoE-Based Approach in Bitrate-Adaptation for Dynamic Adaptive Streaming Systems
复制标题
动态自适应流媒体系统比特率自适应中基于 QoE 的改进方法
DOI：
10.4018/ijitn.302120
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
T. Landolsi
中科院分区：
文献类型：
--
作者：
Nada. Abdelhafez;Mohamed S. Hassan;T. Landolsi
随着新冠肺炎的流行，对流行的流媒体应用的需求预计将飙升。确保高用户感知的质量与内容提供商和交付系统的更高利润相关。动态自适应HTTP流(DASH)是一种广泛采用的视频流标准，服务提供商利用它来提供具有竞争力的体验质量(QOE)。即使在不确定的网络条件下，DASH也能够通过切换不同的视频质量及其对应的段比特率来提供无缝流媒体。本文介绍了一种不复杂的算法，它允许流媒体视频质量的平滑阶跃过渡。该方法部署了一个优化模型来管理影响用户感知体验的关键元素，如视频质量、重新缓冲和质量切换事件。其目标是优化受网络吞吐量、数据段大小和缓冲区占用率约束的QOE度量，以持续选择最优的低复杂度码率级别。
With the COVID-19 pandemic, the demand for popular streaming applications is expected to soar. Ensuring high user-perceived quality correlates with higher profits for content providers and delivery systems. Dynamic adaptive streaming over HTTP (DASH) is a widely adopted video streaming standard, utilized by service providers to provide competitive quality of experience (QoE). DASH is capable of providing seamless streaming even during uncertain network conditions by switching across different video qualities and their corresponding segment bitrates. This paper introduces a non-complex algorithm that allows smooth step-like transition in the streamed video quality. The proposed approach deploys an optimization model to manage key elements that affect the user-perceived experience such as video quality, re-buffering and quality switching events. The objective is to optimize the QoE metric, which is constrained by the network throughput, segment size and buffer occupancy to continuously select the optimum bitrate levels with low complexity.