Design And Implementation Of Intelligent Free Layout Video Conference Client

With the development of the Internet and the rapid popularization of 5G,as well as the impact of the novel coronavirus in the past three years,video conference system has gradually penetrated into our study,work and life.Under the increasingly diversified video conference scenarios,people’s requirements on the processing capacity of video conference system are becoming higher and higher.How to provide customized solutions for users in specific scenarios is the key to the development of the current video conference system,in which the layout of the client directly affects the user’s participation experience.At present,the layout of mass video conference system is very limited.With the wide use of video conference in various industries,due to the diversity of scenes and the variability of participants,simple layout is no longer enough to meet the needs of various scenes.Therefore,it becomes very meaningful to provide an information platform with customized layout solutions for different conference scenes and scales.This paper proposes the design and implementation of intelligent free layout video conference client to solve the above problems.This system can obtain unique and suitable video conference layout only by simple operation of users.Users only need to make simple Settings according to the actual meeting scene and viewing requirements,so as to obtain the specific layout effect after the automatic arrangement calculation of the system,and trigger the automatic arrangement calculation when the status of participants changes,so as to achieve the purpose of updating the layout.This paper analyzes and designs,implements and tests each module of the system in detail,and verifies the effectiveness and feasibility of the system.At the same time,due to unavoidable environmental and device limitations,the video captured during the conference is often too dark.In recent years,low illumination enhancement algorithm based on Retinex theory has been studied by many scholars due to its strong theory and remarkable enhancement effect.A low illumination enhancement algorithm based on HSV color space theory and Retinex theory is proposed in this paper.The algorithm firstly converted the input image from RGB to HSV color space to obtain hue(H),saturation(S)and brightness(V)components.Then,the V component were decomposed and the obtained light(L)component were enhanced by CLAHE to enhance image contrast.Thus,the enhanced V’component is obtained.Based on the change of the V component,adaptive enhancement is carried out on the S component.Finally,the image is transferred back to RGB space,and gamma correction is performed to complete the enhancement processing.The algorithm has achieved good performance in qualitative and quantitative analysis,and meets the basic requirements of real-time audio and video conferencing system in execution efficiency,and shows effectiveness and real-time performance in the system.