Application research of image compression and wireless network traffic video streaming

Abstract

With the increasingly busy urban traffic and the development of modern communication technologies, traffic conditions need to be transmitted from major intersections to command and dispatch centers for analysis and processing, which raises a large number of problems of storing and transmitting static images of traffic conditions. Research on image compression of traffic conditions has also become a hot issue that people pay more and more attention to. In the process of traffic image research, due to the lack of essential attributes of the image, especially, the selection and use of compression methods has greater blindness. However, an overall analysis of the image prior to traffic image processing is a difficult task. This article selects the road traffic data, public transit data and orbital data first to compress the image. Then the streaming Media transmission System of DASH is introduced. In the specific application, the code of traffic data flow in this paper is converted into Real Media format through SDK. With the help of Helix Server, all traffic data flow files can be integrated into the synchronous Media integration language, based on the Internet of TCP/IP which is released in a stream through Real System. The experimental results show that the traffic conditions such as vehicle queuing, congestion and signal lights are directly mastered, the signal timing is timely adjusted or other means are adopted to ease the traffic, the distribution of traffic flow is changed, and ordinary terminal users are enabled to master the distribution of traffic flow through wireless network and choose the travel path actively.