Research on the Application of 5G MEC Based on Support Vector Machine in Cloud Side Cooperative Construction of Security Special Video Cloud Management System

Security industry is a sunrise industry. Video surveillance system is a subsystem of security system and an important part of technical defense. IT has matured with the development of IT technologies such as multimedia technology, codec technology and network technology. Nowadays, most of the video analysis and management processes are manual or semi-automatic, which is difficult to meet the real-time requirements, and the utilization rate of video information is low. In this paper, the architecture of mobile edge computing technology is analyzed, and a cascaded two-tier support vector machine is designed. The first tier uses two-class support vector machine to find local features in test images, and the second tier uses multi-class support vector machine to find the categories of images. Using the advantages of cloud computing architecture, it provides users with scalable, flexible and centrally integrated video management, video access and video storage services.