Video conference big data analysis method and system

Abstract

The invention provides a video conference big data analysis method, which comprises the following steps of: matching content generated by pre-conference preparation work with a predefined conference monitoring rule template to generate a corresponding monitoring rule tree; on the basis of the monitoring rule tree, extracting effective data in the video conference, and completing quantification ofreal-time datamation description indexes of the video conference; generating a quantitative evaluation result of the video conference based on the quantification of the datamation description index; and giving a real-time deviation prompt or abnormal warning for the condition that the quantitative evaluation result deviates from the standard range. A corresponding system is designed based on the method, so that the result output efficiency of the video conference is improved, and unnecessary resource waste is avoided.

Description

technical field [0001] The present invention relates to the technical field of video conference tracking and recording, and more specifically relates to a video conference big data analysis method and system. Background technique [0002] At present, online video conferencing is very popular, including file sharing, screen sharing, PPT display and other technologies are very mature, video conferencing supports remote meetings, the most intuitive advantage is to reduce travel expenses and time costs, of course, this is the primary demand of users , communicate through video conferencing, for example, you can host or participate in a meeting in a place B, which effectively reduces the frequency of business trips; in addition, video conferencing is conducive to the balance between work and life, so that office workers have more time to take care of their families , The working status from 9 to 6 is the standard for office workers nowadays, and there is very little time to spend...

AI Technical Summary

Problems solved by technology

[0003] However, for large enterprises and units, a large number of video conferences are held every day, which needs to occupy a large amount of network communication broadband and equipment resources, and also consumes a certain amount of human resources and working hours. If the video conference is inefficient , procrastination and no results, then the loss outweighs the gain and cannot play the role of video conferencing. In order to save resources and improve efficiency, it is necessary to conduct data monitoring and evaluation for each meeting

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