Video processing method, apparatus and electronic device

Abstract

The embodiment of the present application discloses a video processing method, device, and electronic equipment, which can process a video including multiple human targets, and obtain plot video clips for any one of the multiple human targets, which can be targeted It can accurately observe human objects and enhance the sensory experience of video viewers. The video processing method includes: acquiring a first video, the first video including a plurality of human targets; determining the detection area of ​​the first target among the plurality of human targets according to at least one frame image of the first video; Human behavior feature detection is performed on the detection area of ​​the first target in the first video to obtain a first plot video segment of the first target in the first video.

Description

technical field [0001] The present application relates to the field of video technology, and more specifically, to a video processing method, device and electronic equipment. Background technique [0002] At present, with the development of information technology, students' teaching forms include online live classes, recorded classes, and traditional face-to-face classes. Among them, face-to-face classes can create a better learning atmosphere and make it easier for students to pay attention. Concentration and more direct interaction with teachers enable students to have better learning outcomes. But for parents, they cannot participate in most of the face-to-face classes. Even if the classrooms of face-to-face classes are equipped with cameras, they can only take pictures of all the students. In addition, due to the cost of the cameras, most of the cameras are easily affected by ambient light. The quality of the video image is poor, and it is impossible to clearly present ...

AI Technical Summary

Problems solved by technology

But for parents, they cannot participate in most of the face-to-face classes. Even if the classrooms of face-to-face classes are equipped with cameras, they can only take pictures of all the students. In addition, due to the cost of the cameras, most of the cameras are easily affected by ambient light. The quality of the video image is poor, and it is impossible to clearly present the classroom performance of each student to each parent. Therefore, parents cannot grasp the learning process, attitude and actual results of the students in a targeted manner, and it is difficult to carry out targeted monitoring of the learning effect. Check for gaps and adjust course strategies based on student interests

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