Fast video classification method based on images and texts

A fast classification and video type technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as low accuracy rate, large amount of data, slow detection video, etc., and achieve the effect of improving classification efficiency

Active Publication Date: 2015-05-27
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF11 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The problems based on video content detection are: a large amount of data is required, the detection of video is slow, and it is obviously impossible to complete the detection task without the video content itself, and the accuracy rate is not very high.

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
  • Fast video classification method based on images and texts
  • Fast video classification method based on images and texts
  • Fast video classification method based on images and texts

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0013] figure 1 It is a flow chart of Embodiment 1 of the fast video classification method based on images and texts of the present invention, figure 2 It is the principle diagram of Embodiment 1 of the rapid classification method of video based on image and text in the present invention, as figure 1 and figure 2 As shown, Embodiment 1 of the rapid classification method for video based on images and texts of the present invention includes:

[0014] S101. Respectively associate images of multiple videos with multiple video types, and texts of multiple videos with multiple video types, thereby generating image training sets and text training sets corresponding to video types;

[0015] Preferably, the video can be a movie, the image can be a movie poster, and the text can be an introduction to the movie or a movie indexing text. At this time, only a small amount of data is needed to realize the detection, and it can Make subsequent detection faster; specifically, when collec...

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 provides a fast video classification method based on images and texts, comprising the following steps of respectively relating images of a plurality of videos with a plurality of video types, and relating texts of the plurality of videos with the plurality of video types, so as to generate an image training set and a text training set corresponding to each video type; respectively extracting image feature information from each image training set to train so as to create an image prediction model, and extracting text feature information from each text training set to train so as to create a text prediction model; respectively extracting the image feature information of a to-be-detected video to predict on the image prediction model, and extracting the text feature information of the to-be-detected video to predict on the text prediction model, and executing or operating the two prediction results as a check out type. The fast video classification method based on the images and texts has the advantage that the fast video classification can be realized.

Description

technical field [0001] The invention relates to the field of image or video detection, in particular to a method for quickly classifying video based on images and texts. Background technique [0002] With the rapid development of the Internet, movies have become an indispensable part of people's spare time life. So far, there is no unified regulation on the types of movies. The types of movies are roughly divided into: horror, romance, action, comedy, science fiction, etc. Movie websites will manually label movies with genre tags, so it is necessary to quickly classify movies. [0003] The detection of movie types is basically based on the detection of the video content itself. The detection of video content includes: the detection of shot boundaries, the detection of key frames and the detection of audio features. The basic assumption of shot boundary detection is that there is a large difference in the content of two adjacent shots. Therefore, the boundaries of a shot ...

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): G06F17/30G06K9/62
CPCG06F18/2413
Inventor 胡卫明付志康李兵
Owner INST OF AUTOMATION 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