Research On Intelligent Video Management System Based On Mobile Edge Computing

At present,emerging applications such as augmented reality,biometrics,real-time video analysis,have high requirements for the network,including latency and bandwidth.Mobile Edge Computing(MEC)is a network architecture which can provide the cloud computing capacity and IT service environment,so it can give the cloud computing environment which has the low latency and high bandwidth for the terminal equipment and enhance the user experience of the delay sensitive business.At the same time,the network open ability can promote the development of innovative mobile applications.MEC provides the necessary technical foundation for the innovation applications.Today,the procedure of the video analysis and management are manual or semi-automatic,which cannot meet the real-time requirements,and video information is in low use and in low share ability.Therefore,facing the vast amounts of video information,how to quickly and effectively manage,how to make use of video information,how to quickly and accurately retrieval the desired video,are urgently needed.In this paper,the flipped classroom is as application scenarios for the intelligent video management system,which is implemented based on the Mobile Edge Computing and face recognition technologies.This paper mainly completes the following work:(1)Investigated the background and research significance of video management system and the development status of the video analysis.Moreover,the paper proposes that MEC is the key technology of intelligent video management system.Since the way of human learning has been developing towards informationization,digitization and intellectualization,this paper proposes the application of video management system based on classroom.(2)Proposed the Software Defined Class(SDC)model.SDC combines the technology of sensing,communication and computing with learning mechanisms to enhance and expand classroom management efficiency and students’ learning efficiency.The feature,key technologies,application scenarios and implementation schemes of SDC are also analyzed.This paper presents MEC as the key technology of SDC with the comparison QoS analysis between MEC and the remote servers.Based on the SDC model,the application case-intelligent video management system is proposed.Meanwhile,the cognitive strategy of video system in class is provided,including identification strategy and self-learning strategy.(3)Developed the intelligent video management system,including camera module,edge network module,video analysis and management module,and Web module.Then set up the test environment,and test the system functions,system performance and system function evaluation.The system performance includes real-time,accuracy and pressure.The intelligent video management system of this paper is used in the flipped classroom,which is one of the application scenarios.It is combined with MEC technology and face recognition technology,which can analyze class video intelligently and timely,then provide the corresponding management strategy,retrieval and scoring functions.This system can not only improve the management efficiency and learning efficiency,but also can be used for the real-time evaluation of students’ ability,sharing assessment of students’ ability,and verification of students’ ability.