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作 者:陈旭辉 杨红云[2] CHEN Xu-hui;YANG Hong-yun(School of Mathematics & Computer Science,Wuhan Textile University,Wuhan 430072,China;School of Education,Hubei University,Wuhan 430062,China)
机构地区:[1]武汉纺织大学数学与计算机学院,湖北武汉430072 [2]湖北大学教育学院,湖北武汉430062
出 处:《软件导刊》2019年第6期1-5,9,共6页Software Guide
基 金:湖北省自然科学基金项目(2015CFB721);湖北省教育厅科学研究计划项目(B2013206);教育部中西部高等学校青年骨干教师国内访问学者项目(2018)
摘 要:HTTP动态自适应流技术利用现有的内容分发网络和互联网基础设施,部署方便、快捷,具有良好的防火墙穿透能力、NAT转换功能,成为网络视频分发业务的主流技术。为保证媒体传输的流畅性,为用户提供良好的用户体验质量(QoE),需要采用合理的码率选择算法,由此码率自适应选择算法成为研究热点,大量新方法不断涌现。对HTTP动态自适应流技术背景和概念进行了概述,从流媒体传输涉及的服务端和客户端两个决策实体出发,对大量方法进行了分类阐述,指出该领域存在的问题,对研究趋势进行了展望。The trend of video streaming,both in industry and academia,has significantly shifted towards HTTP adaptive streaming (HAS),because HTTP packets can travel across firewalls and Network Address Translators without any restrictions. And HAS has be-come ubiquitous and accounts for a large amount of video delivery over the Internet nowadays. But since the Internet is prone to band-width variations,HAS’s up and down switching between different video bitrates to keep up with bandwidth variations leads to a reduc-tion in Quality of Experience(QoE). HAS solves these problems by applying an adaptation controller which selects the most appropri-ate video bitrate based on players’conditions(e.g. buffer,screen resolution,etc.)and the underlying network conditions. Hence vid-eo bitrate selection is the key part to assure the QoE to users. A large number of adaption methods have been provided to support HAS. In this paper,we introduce the state-of-the-art of these methods and classify them into two parts of server-driven and client-driven and list some typical algorithms some researchers have proposed in each category. We hope our work can provide reference for related researchers to study further.
分 类 号:TP301[自动化与计算机技术—计算机系统结构]
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