Flow-based Semantic Extraction of Streaming Media
Wu Jing · Communications technology · 2010
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.