Enterprise training monitoring video abstract generation method based on difference change operator

Abstract

The invention discloses an enterprise training monitoring video abstract generation method based on a difference change operator, which belongs to the technical field of computer file management, andaims to achieve the purpose of extracting key information of the classroom monitoring video file to obtain a video abstract by finding out most representative key frames of the monitoring video file and storing the frames in the form of an image file after the classroom monitoring video file is input. According to the invention, the key information can be extracted from the enterprise training monitoring video file; on one hand, key information in the training process is reserved for subsequent teaching quality inspection, on the other hand, storage is simplified, an original video file is simplified into a small number of picture files, and the requirement for the storage capacity of a computer system is reduced under the condition that the resolution ratio is not reduced; the method hashigh application value in the fields of training centers of schools and enterprises and recording teaching conditions of teaching tutoring institutions.

Description

technical field [0001] The invention belongs to the technical field of computer file management, and in particular relates to a method for generating an abstract of an enterprise training monitoring video based on a difference change operator. Background technique [0002] For training schools, enterprise training centers, and teaching and counseling institutions, there are usually surveillance videos of classrooms while classes are in session. In addition to recording the classroom situation at a specific time, these videos can also be used as an important reference for students' learning, teachers' lectures, and content interaction in different chapters; therefore, it is very important to construct a method to save important information in corporate training surveillance video files. necessary. [0003] Corporate training surveillance video files are usually large. In order to save space, conventional surveillance systems will store them in a circular overlay mode, and vi...

AI Technical Summary

Problems solved by technology

[0003] Corporate training surveillance video files are usually large. In order to save space, conventional surveillance systems will store them in a circular overlay mode. Videos from a period of time ago cannot be stored for a long time.

In order to achieve long-term storage of information, there are currently two conventional methods used in the industry: 1. Purchase large-scale disk storage arrays. Although this type of method can store a large amount of data, the purchase and maintenance of equipment is very expensive. For most enterprises Or units that are difficult to afford the investment

2. Increase the video compression ratio to make the video file smaller; the biggest problem with this method is that increasing the compression ratio will make the picture unclear. When you need to see the details clearly, the small file cannot provide the required Information

Therefore, the current technical methods cannot effectively solve the goal of saving important information in corporate training surveillance video files