| With the development of the Internet and the tourism industry,tourism information source is rich,widely distributed,various types of tourism information distribution in each space.How to get the tourism information accurate and effective is becoming more and more important.In this paper,we research the cross-media tourism big data perception system based on Agent.The main work of the paper as follows:(1)We set up the cross-media tourism big data perception model based on Agent,by using the multi-agent technology and cross-sensing technology.We introduce the main function of the module of the model,provide theoretical basis of the cross-media tourism big data perception system.(2)We propose the algorithm based on web page links and content analysis.This algorithm learns the advantage of the web page links algorithm and the content analysis algorithm.Through this strategy,it can effectively determine the order of theweb crawling;avoid the blindness in the process of the web crawling.We propose the dynamic web page updated forecast algorithm based on neighboring method and interval forecast,which can timely discover new web pages and timely update the change web page,make accurate prediction to the update website,avoid the blindness of the web page.(3)We propose the adaptive crowd density estimation algorithm based on the video monitoring of the scenic spot.It can select different crowd density estimation algorithms according to the high or low population density.It will choose the algorithm based on pixel statistics in low crowd density,choose the algorithm based on texture feature analysis in high crowd density.So it can ensure the accuracy and quickness of the crowd densityperception.We propose the perception algorithm based on bayesian network,it can predict the scenic spot monitoring blind area population density state,complete the effective perception of scenic spot population density state.(4)We design and develop the cross-media tourism big data perception systembased on agent.The System consists of four function modules,including data perception module,data storage module,agent management module,user query module.The system can meet the demand for the perceptionof the cross-media tourist big data. |