电信科学 ›› 2014, Vol. 30 ›› Issue (5): 20-26.doi: 10.3969/j.issn.1000-0801.2014.05.003

• 专题:互联网视频智能技术 • 上一篇    下一篇

VBR视频在IPTV点播业务中的应用

罗传飞1,2,施唯佳1,肖晴3   

  1. 1 中国电信股份有限公司上海研究院 上海 200122
    2 中国电信IPTV实验室 上海 200122
    3 中国电信股份有限公司上海分公司 上海 200120
  • 出版日期:2014-05-15 发布日期:2017-07-05
  • 基金资助:
    国家高技术研究发展计划(“863”计划)基金资助项目;国家高技术研究发展计划(“863”计划)基金资助项目;国家自然科学基金资助项目

Application of Variable Bit Rate Video in IPTV on Demand Services

Chuanfei Luo1,2,Weijia Shi1,Qing Xiao3   

  1. 1 Shanghai Research Institute of China Telecom Co., Ltd., Shanghai 200122, China
    2 IPTV Lab of China Telecom Co., Ltd., Shanghai 200122, China
    1 Shanghai Branch of China Telecom Co., Ltd., Shanghai 200120, China
  • Online:2014-05-15 Published:2017-07-05

摘要:

通过对VBR 视频流量进行工程建模,结合IPTV 用户点播时间间隔分析聚合VBR 视频流量特性,研究表明在兼容现有终端和平台系统的情况下,即使不采用任何视频平滑处理,在IPTV点播业务中通过应用大规模VBR视频流的统计随机特性进行自我平均(self-average)也可获得30%~50%的统计增益,并通过大规模现场试验验证了VBR视频自平均特性在IPTV点播业务中的可行性和有效性。

关键词: IPTV, 可变比特率, 自我平均, 统计增益

Abstract:

Based on the engineering model for VBR video traffic, the flow characteristics of VBR video based on user requested arriving time interval was analyzed. Studies show that in compatible with the existing IPTV terminal and platform system, even without the use of any video smoothing technology, self-average can be obtained 30%~50% statistical gain through using statistical random characteristics of large scale VBR video traffic in IPTV on demand business. The feasibility and effectiveness of VBR video“self-average”characteristics in the application of IPTV on demand services were verified.

Key words: IPTV, VBR, self-average, statistical gain

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