Measurement of Quality of Experience of Video-on-Demand Services: A Survey

Measurement of Quality of Experience of Video-on-Demand Services: A Survey
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DOI:
10.1109/comst.2015.2401424
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发表时间:
2016-01-01
影响因子:
35.6
通讯作者:
Medhi, Deep
Medhi, Deep
中科院分区:
计算机科学1区
文献类型:
--
作者:
Juluri, Parikshit;Tamarapalli, Venkatesh;Medhi, Deep

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视频点播流媒体服务在过去几年中越来越受欢迎。接入网络速度的提高也导致更多用户在线观看视频。思科,2014 年预计,到 2017 年,在线视频流流量将从目前的 57% 进一步增加到 69%。为了留住现有用户并吸引新用户,服务提供商试图满足用户的期望并提供令人满意的观看体验。提供满意服务的第一步是能够量化用户对当前服务水平的感知。体验质量 (QoE) 是一种质量指标,可全面衡量用户对质量的感知。在本次调查中,我们首先介绍了为存储视频部署的流行视频流技术的教程概述,然后确定了可用于量化视频流服务 QoE 的各种指标;最后,我们对有关用于测量或预测在线视频流服务的 QoE 的各种工具和测量方法的文献进行了全面调查。
Video-on-demand streaming services have gained popularity over the past few years. An increase in the speed of the access networks has also led to a larger number of users watching videos online. Online video streaming traffic is estimated to further increase from the current value of 57% to 69% by 2017, Cisco, 2014. In order to retain the existing users and attract new users, service providers attempt to satisfy the user's expectations and provide a satisfactory viewing experience. The first step toward providing a satisfactory service is to be able to quantify the users' perception of the current service level. Quality of experience (QoE) is a quality metric that provides a holistic measure of the users' perception of the quality. In this survey, we first present a tutorial overview of the popular video streaming techniques deployed for stored videos, followed by identifying various metrics that could be used to quantify the QoE for video streaming services; finally, we present a comprehensive survey of the literature on various tools and measurement methodologies that have been proposed to measure or predict the QoE of online video streaming services.