摘要
提出了在流的基础上最大限度的挖掘流媒体途径各网络层的语义信息。对流媒体语义信息的提取主要包括以下几个方面:首先根据流媒体传输协议规范,对流媒体数据进行实时捕获;通过数据包的入口信息定位和区分不同的流媒体数据流;然后结合多层语义分析方法设计流媒体语义提取算法,最后将提取出的语义信息存入流媒体语义标签库。实验仿真表明,采用基于流的流媒体语义提取技术较好的完成了对流媒体信息的最大化理解。
This paper proposes a way to maximize the mining of semantic information based on the flow of streaming media.The semantic information extraction of streaming media includes the following aspects： first to capture real-time streaming media data in combination with the streaming media transmission protocol specification;then to locate and distinguish different streams of data flow according to the entry information of every packet;then to design streaming media semantic extraction algorithm on the basis of multi-semantic analysis;finally,to put the extracted semantic information streaming into the semantic tag library.Simulations results show that this extraction technology could have a maximal understanding of streaming media information.
出处
《通信技术》
2010年第12期140-143,共4页
Communications Technology
基金
国家863计划项目"多层网络数据语义分类与理解技术研究"(No.2007AA01Z151)
关键词
语义提取
信息理解
流媒体语义
流媒体数据流
semantic extraction
information comprehension
stream media semantic
streaming media data flow
