Method and device for rapid identification of video classification

A video classification and video technology, applied in the field of computer vision, can solve the time-consuming problems of content recognition, meet the real-time processing requirements, improve the ability of content recognition, and solve the time-consuming effect

Active Publication Date: 2019-03-01
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF3 Cites 0 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 invention provides a method and device for fast identification of video classification to solve the problem of time-consuming identification of content in video in the prior art

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 and device for rapid identification of video classification
  • Method and device for rapid identification of video classification
  • Method and device for rapid identification of video classification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0024] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0025] see figure 1 , figure 1 It shows the implementation flow of the method for fast identification of video classification provided by the embodiment of the present invention, and the method is applicable to various terminal devices, such as personal computers, tab...

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 applicable to the technical field of computer vision, and provides a method and device for fast identification of video classification. The method comprises: obtaining the video to be tested, extracting the motion vector and the original RGB image from the video code stream of the video to be tested; converting the motion vector into a motion vector image; inputting the original RGB image to a predetermined convolution based on the RGB image In the neural network, to obtain the classification category confidence based on RGB; input the motion vector image into the predetermined enhanced convolutional neural network based on the motion vector, to obtain the classification category confidence based on the motion vector; the classification category based on RGB Confidence and the classification category confidence based on the motion vector are fused to obtain the classification category confidence of the video to be tested; the category corresponding to the highest score in the classification category confidence of the video to be tested is used as the content in the video to be tested corresponding category. The invention can effectively improve the efficiency of video classification and recognition.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a method and device for fast identification of video classification. Background technique [0002] Content recognition technology in video is widely used in video surveillance, retrieval, human-computer interaction and other fields. In recent years, feature extraction methods based on dense trajectories and methods based on dual neural networks (ie image deep network and optical flow deep network) have shown better action recognition capabilities. However, although the feature extraction method based on dense trajectories and the method based on double neural networks can effectively improve the accuracy of action recognition, since both the feature extraction method based on dense trajectories and the method based on double neural networks need to calculate optical flow (Optical flow) information, and the calculation of optical flow information is very time-...

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): G06K9/00
CPCG06V20/41
Inventor 乔宇张博文
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap