Terror video identification method and device based on sparse representation of context

A sparse representation, video recognition technology, applied in character and pattern recognition, instruments, computer parts, etc., to achieve the effect of strong scalability and efficient video recognition

Inactive Publication Date: 2014-06-11
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are not many studies focus

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
  • Terror video identification method and device based on sparse representation of context
  • Terror video identification method and device based on sparse representation of context
  • Terror video identification method and device based on sparse representation of context

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0028] figure 1 It shows a schematic diagram of the process of a scary video recognition method based on context sparse representation proposed by the present invention. Such as figure 1 As mentioned, the method includes the following aspects:

[0029] Step 1: Perform video shot segmentation and key frame selection for each training video sample, and then extract the visual features of the key frames, and extract the audio features of the entire video scene. The visual feature vector corresponding to each key frame constitutes an example in multi-example learning, and the feature vector collection of all key frames corresponding to each scene constitutes an example package.

[0030] The present invention uses a shot detect...

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 terror video identification method and device based on sparse representation of a context. The method includes the steps that first, shot segmentation is performed on each training video sample, and then a pair of key frames are selected according to each shot to represent the shot; visual characteristics of each key frame are extracted, and audio characteristics of the whole training video samples are extracted; the graph of the contact relations between all the key frames in each training video sample is established; the visual characteristics and the audio characteristics of the video to be identified are extracted; a price matrix between the video to be identified and the training video samples is constructed; based on a sparse representation model of the context, the video to be identified is reconstructed through all the training video samples, and the type of the training video samples smallest in reconstruction error is the type of the video to be recognized; according to a sparse representation module of the context, the context relation graph of the training video samples serves as a sparse representation dictionary and is restrained through the price matrix.

Description

Technical field [0001] The present invention relates to the field of pattern recognition and computer network content security, in particular to a method and device for identifying scary videos based on context sparse representation. Background technique [0002] With the rapid development of Internet technology and applications, the Internet has not only brought convenience to people's lives, but also provided convenience for the dissemination of bad information. On the basis of the rapid development of the Internet, the dissemination of harmful information such as pornography, violence, and terror has also become easier. Psychological and physiological studies have shown that terrorist information on the Internet is no less harmful to the physical and mental health of young people than pornographic information. Excessive horror information may cause people to be in extreme anxiety and fear for a long time, and even damage people's body and mind. It is easy to produce psycholog...

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): G06K9/00
Inventor 李兵胡卫明丁昕苗祝守宇
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