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Automatic QoE evaluation for asymmetric encoding of 3D videos for DASH streaming service
Ad Hoc Networks ( IF 4.4 ) Pub Date : 2020-05-16 , DOI: 10.1016/j.adhoc.2020.102184
Paola Guzmán , Pau Arce , Juan Carlos Guerri

The paper is based on the study of the performance of a Dynamic Adaptive Streaming over HTTP (DASH) system in the context of 3D video streaming, using different scenarios and network conditions, specifically with bandwidth variations. The objective is the development of a framework for the evaluation of QoE in 3D adaptive video streaming scenarios, which allows to analyze the impact on the user's Quality of Experience (QoE) using different bandwidth variation patterns (switching frequency, range and type of variation), among other aspects. A set of subjective tests will be carried out, with the aim of identifying the correlation between the quality of the user experience and the frequency, type, range and temporal location of the bandwidth switching events. The proposed framework allows performance measurements to be carried out in an automated and systematic way for the evaluation of DASH systems in 2D and 3D video streaming service. We have used Puppeteer, the Node.js library developed by Google, which provides a high-level API, to automate actions on Chrome Devtools Protocol, such as starting playback, causing bandwidth changes and saving the results of quality change processes, timestamps, stalls and so on. From this data, a processing is made to allow the reconstruction of the visualized video, as well as the extraction of quality metrics and the users’ QoE assessment using the ITU-T P.1203 recommendation.

Categories and Subject Descriptors

C.2.1 [Computer Systems Organization]: Computer Communications Networks– Network Architecture and Design, wireless communication



中文翻译:

对DASH流服务的3D视频进行非对称编码的自动QoE评估

本文基于对使用不同场景和网络条件(尤其是带宽变化)的3D视频流环境中HTTP动态自适应流(DASH)系统性能的研究。目标是开发一个用于评估3D自适应视频流场景中的QoE的框架,该框架允许使用不同的带宽变化模式(切换频率,变化范围和变化类型)来分析对用户体验质量(QoE)的影响,以及其他方面。将进行一组主观测试,目的是确定用户体验质量与带宽切换事件的频率,类型,范围和时间位置之间的相关性。提出的框架允许以自动化和系统的方式执行性能测量,以评估2D和3D视频流服务中的DASH系统。我们使用了Google开发的Node.js库Puppeteer(该库提供了高级API)来自动执行Chrome Devtools协议上的操作,例如开始播放,引起带宽更改并保存质量更改过程,时间戳,停顿的结果等等。根据这些数据,进行处理以允许使用ITU-T P.1203建议重建可视化视频,以及提取质量指标和用户的QoE评估。以自动执行关于Chrome Devtools协议的操作,例如开始播放,引起带宽更改并保存质量更改过程,时间戳记,停顿等结果。根据这些数据,进行处理以允许使用ITU-T P.1203建议重建可视化视频,以及提取质量指标和用户的QoE评估。以自动执行关于Chrome Devtools协议的操作,例如开始播放,引起带宽更改并保存质量更改过程,时间戳,停顿等结果。根据这些数据,进行处理以允许使用ITU-T P.1203建议重建可视化视频,以及提取质量指标和用户的QoE评估。

类别和主题描述符

C.2.1 [计算机系统组织]:计算机通信网络–网络体系结构和设计,无线通信

更新日期:2020-05-16
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