Video classification method and device

A video classification and video technology, applied in the field of image recognition, can solve the problems of randomness and inability to classify small videos, and achieve the effect of accurate classification

Active Publication Date: 2019-05-03
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
View PDF8 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In related technologies, videos are classified by titles or tags of videos, but the titles a

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
  • Video classification method and device
  • Video classification method and device

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0046] The embodiments of the present invention are described in detail below. Examples of the embodiments are shown in the accompanying drawings, in which the same or similar reference numerals indicate the same or similar elements or elements with the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention, but should not be construed as limiting the present invention.

[0047] The following describes the video classification method and device according to the embodiments of the present invention with reference to the accompanying drawings.

[0048] Based on the foregoing description of the prior art, it can be known that in the related art, videos are classified by their titles or tags, but the titles and tags of small videos are often relatively random, and it is impossible to effectively classify small videos.

[0049] For example, such as figure 1 As shown in the firs...

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 discloses a video classification method and device. The method comprises the steps of obtaining multiple frames of images of a to-be-classified video; and respectively identifying the character and the bone key points of the character in the multiple frames of images, and respectively identifying the bone angle corresponding to the bone key point in each frame of image according to the area of the character in each frame of image. And generating a feature code corresponding to each bone key point according to the numerical change of the bone angle in the multi-frame image. And classifying the to-be-classified videos according to the feature codes. Therefore, the videos are classified through the characters in the videos without depending on video titles and video labels, so that the videos are classified more accurately. The technical problem that classification is inaccurate when videos are classified through titles or labels in the prior art is solved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a video classification method and a device thereof. Background technique [0002] With the continuous emergence of small videos on the Internet, small videos have become an important role in online videos. Therefore, online video platforms need to classify small videos for users to browse. [0003] In related technologies, videos are classified by their titles or tags, but the titles and tags of small videos are often arbitrary, and it is impossible to effectively classify small videos. Contents of the invention [0004] The present invention aims to solve one of the technical problems in the related art at least to a certain extent. [0005] For this reason, the first object of the present invention is to propose a video classification method, so as to classify videos through characters in the video, without relying on video titles and video tags, so that the class...

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
IPC IPC(8): G06F16/73G06K9/00G06K9/62
Inventor 王群
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products