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

机译:5G MEC在安全特殊视频云管理系统云侧合作施工中5G MEC应用研究

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摘要

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.
机译:安全行业是一家日出行业。 视频监控系统是安全系统的子系统和技术防御的重要组成部分。 它已达到多媒体技术,编解码技术和网络技术等IT技术的发展。 如今,大多数视频分析和管理过程都是手动或半自动,这难以满足实时要求,视频信息的利用率低。 在本文中,分析了移动边缘计算技术的体系结构,设计了一个级联的双层支持向量机。 第一层使用两级支持向量机找到测试图像中的本地功能,第二层使用多级支持向量机来查找图像类别。 使用云计算架构的优点,它为用户提供可扩展,灵活和集中的视频管理,视频访问和视频存储服务。

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