Semantic Information Extraction System for Network Audio and Video
Jinzhi Zhou · Jisuanji gongcheng · 2011
In allusion to the problems of describing and managing massive network data,this paper presents a semantic information extraction system for audio/video.According to the characteristics of network audio/video streams,it formulates protocol identification rules using regular expression.On this basis,multilayer semantic information from network interface layer,network layer,transport layer and application layer is extracted by analyzing the structure of audio/video transmission protocol.Meanwhile a Uniform Content Locator(UCL) label is constituted.Experimental results show that the proposed algorithm has recall and accuracy both over 80% under the requirement of complete flows.