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基于最佳分段点估计的流媒体非均匀分段方法
引用本文:邓宇珊,庄一嵘,陈戈,张军.基于最佳分段点估计的流媒体非均匀分段方法[J].电信科学,2015,31(9):124-129.
作者姓名:邓宇珊  庄一嵘  陈戈  张军
作者单位:1. 华南理工大学电子与信息学院 广州510640;2. 中国电信股份有限公司广州研究院 广州510630
基金项目: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
摘    要:摘要:针对命中率随存储的流媒体片段流行度变化的特征,提出了一种新的基于最佳分段点估计的流媒体非均匀分段方法,根据不同存储大小下的流媒体外部分界流行度对其内部最佳分段点进行估计,进而把每个视频分成高流行度段和低流行度段两个片段。实验结果表明,与均分分段相比,该方法能减少流媒体的片段数,提高缓存命中率。

关 键 词:流行度  分段  流媒体  

Non-Uniform Segmentation Method for Streaming Media Based on Best Segmentation Point Estimation
Yushan Deng,Yirong Zhuang,Ge Chen,Jun Zhang.Non-Uniform Segmentation Method for Streaming Media Based on Best Segmentation Point Estimation[J].Telecommunications Science,2015,31(9):124-129.
Authors:Yushan Deng  Yirong Zhuang  Ge Chen  Jun Zhang
Affiliation:1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China;2. Guangzhou Research Institute of China Telecom Co., Ltd., Guangzhou 510630, China
Abstract:According to the relationship between the byte hit rates and the popularities of the stored streaming media segments, a new non-uniform segmentation method for the streaming media based on best segmentation point estimation was proposed. In the proposed method, the best internal segmentation points of the streaming media were estimated according to the external boundary popularity of the streaming media at the current storage size of the proxy. Then each video was divided into high popularity and low popularity parts using the estimated best internal segmentation point. Experimental results show that the proposed method can effectively reduce the number of segments and improve byte hit rates comparing with the uniform segmentation method.
Keywords:popularity  segmentation  streaming media  
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