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

Video classification method and device, terminal and storage medium

A video classification and target video technology, applied in the computer field, can solve problems such as inaccurate classification results, and achieve the effect of rich semantic features, accurate classification results, and comprehensive features

Pending Publication Date: 2021-07-23
XIAN TIANHE DEFENCE TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiment of the present application provides a video classification method, device, terminal and storage medium to solve the problem of inaccurate classification results of traditional video classification methods

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
  • Video classification method and device, terminal and storage medium
  • Video classification method and device, terminal and storage medium
  • Video classification method and device, terminal and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0087] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0088] See figure 1 , figure 1 It is a schematic flowchart of a video classification method provided by an embodiment of the present invention. The execution subject of the video classification method in this embodiment is a terminal, and the terminal includes but is not limited to smart phones, tablet computers, computers, personal digital assistants (Personal Digital Assistant, PDA) and other mobile terminals, and may also include terminals such as desktop computers. Such as figure 1 The methods shown for video classification may include:

[0089] S101: Acquire multi...

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 invention is suitable for the technical field of computers, and provides a video classification method and device, a terminal and a storage medium. The method comprises the steps: obtaining a plurality of single-frame images corresponding to a to-be-processed video; inputting the plurality of single-frame images into a trained global feature extraction model for processing to obtain a first target image marked with global features and corresponding to each single-frame image; generating a first target video based on the at least one first target image; and inputting the first target video into a trained video classification model for processing to obtain a classification result corresponding to the first target video. According to the mode, the global feature corresponding to the single-frame image is extracted through the global feature extraction model, the target video is generated based on the image with the global feature, and when the target video is processed through the video classification model, the extracted semantic features are richer and more accurate; and when classification is carried out based on the semantic features, the classification result is more accurate, so that the accuracy of video classification is improved.

Description

technical field [0001] The present application belongs to the field of computer technology, and in particular relates to a video classification method, device, terminal and storage medium. Background technique [0002] Video classification refers to classifying videos into their corresponding categories by analyzing video information. Video classification plays an important role in real-world applications, for example, video classification can be applied in video search, video recommendation and other situations. However, the classification results of traditional video classification methods are not accurate. Therefore, it is urgent to improve the accuracy of video classification. Contents of the invention [0003] In view of this, embodiments of the present application provide a method, device, terminal, and storage medium for video classification, so as to solve the problem of inaccurate classification results of traditional video classification methods. [0004] The f...

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 Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N20/00
CPCG06N20/00G06V20/46G06V20/40G06N3/044G06N3/045G06F18/23213G06F18/24G06F18/214
Inventor 董强李雪孙芯彤
Owner XIAN TIANHE DEFENCE TECH
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