Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method, apparatus, electronic device and computer storage medium for video classification

A technology for video classification and electronic equipment, applied in the field of image processing, can solve the problem of low efficiency and achieve the effect of high accuracy and accurate image frame type

Active Publication Date: 2021-08-13
BEIJING CENTURY TAL EDUCATION TECH CO LTD
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The above-mentioned video classification can be performed by manual viewing, however, this method of video classification is not efficient

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method, apparatus, electronic device and computer storage medium for video classification
  • Method, apparatus, electronic device and computer storage medium for video classification
  • Method, apparatus, electronic device and computer storage medium for video classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] In order to more clearly understand the above objects, features and advantages of the present disclosure, the solutions of the present disclosure will be further described below. It should be noted that, in the case of no conflict, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

[0052] In the following description, many specific details are set forth in order to fully understand the present disclosure, but the present disclosure can also be implemented in other ways than described here; obviously, the embodiments in the description are only some of the embodiments of the present disclosure, and Not all examples.

[0053] In many scenarios, it is often necessary to classify the content in the video. For example, for the teaching video of the teacher in class, there are both fragments of the teacher’s knowledge and fragments of the teacher’s lecture. Therefore, it is necessary to classify the teaching video ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present disclosure provides a video classification method, device, electronic equipment, and computer storage medium. According to the time sequence of the image frames in the video to be classified, the similarity values ​​between the image frames after the reference image frame and the reference image frame are sequentially obtained, Until the similarity value is less than the preset threshold, the corresponding image frame is the target image frame; the video to be classified contains at least two first image frames, the first image frame contains symbols, and the similarity between at least two first image frames The degree value is obtained according to the first information and the second information. The second information includes the symbol image data obtained from the first image frame and the text information obtained by text recognition of the symbol image data. Determine the target image frame as the next reference Image frame, determine that the image frame between the reference image frame and the next reference image frame is the same group of image frames, and include the reference image frame, input the reference image frame into the image frame classification model, and obtain the type corresponding to the same group of image frames.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, and in particular to a video classification method, device, electronic equipment and computer storage medium. Background technique [0002] For a video, it is often necessary to classify the content in the video. For example, for the teaching video of the teacher in class, there are both fragments of the teacher’s knowledge and fragments of the teacher’s lecture. Therefore, it is necessary to classify the teaching video to distinguish The fragments of lectures and knowledge fragments in the teaching video are for students to learn and use. [0003] The above-mentioned video classification can be performed by manual viewing, however, this video classification method is not efficient. Contents of the invention [0004] In order to solve the above technical problem or at least partly solve the above technical problem, the present disclosure provides a video classification method...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/75G06F16/783
CPCG06F16/75G06F16/7844
Inventor 向宇丁文彪刘子韬陈佳豪
Owner BEIJING CENTURY TAL EDUCATION TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products