Method and system for sorting defective contents of digital video

A technology of digital video and classification method, applied in the field of multimedia, can solve the problems of false detection, low accuracy rate, missed detection, etc., and achieve the effects of accurate detection rate, improved detection rate, and reliable proportional features.

Inactive Publication Date: 2011-11-09
TCL CORPORATION
View PDF3 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In view of the shortcomings of the above-mentioned prior art, the object of the present invention is to provide a method and system for classifying bad content of digital video,

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 system for sorting defective contents of digital video
  • Method and system for sorting defective contents of digital video
  • Method and system for sorting defective contents of digital video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The invention provides a method and system for classifying bad content of digital video. In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] see figure 1 , figure 1 It is a structural block diagram of the classification system of bad content of digital video in the present invention. As shown in the figure, the classification system for bad digital video content includes: a modeling unit 100 , a detection and classification unit 200 and a decision unit 300 .

[0038] Specifically, the model building unit 100 initializes the skin color model, the blood color model and threshold parameters, so as to search whether there are skin color...

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 method and a system for sorting defective contents of a digital video. The method comprises the following steps: firstly establishing a blood color model and a skin color model, and initializing a threshold value; then carrying out defective video feature detection on video images, and sorting defective video features, wherein the defective video feature detection comprises motion detection, character detection, sensitive position detection, skin color pixel detection and blood color pixel detection; and then determining the restricted grade of the video images comprehensively according to the detection sorting result of the detecting and sorting steps. By virtue of introducing the skin color pixel detection and the blood color pixel detection, the detection rate and the reliability are improved, and obtained proportion features become more reliable, thus the detection rate of the detected defective video can be improved accurately, and the control service of a multimedia video and the automatic grading of a movie video are convenient.

Description

technical field [0001] The invention relates to the field of multimedia technology, in particular to a method and system for classifying bad content of digital video. Background technique [0002] With the rapid development of multimedia technology and Internet communication, digital video has been widely disseminated among a large number of users and has become one of the main sources for people to obtain information and entertainment. [0003] However, some digital video content contains harmful information such as pornography, violence, and foul language. If it is not classified and managed, it will seriously affect the healthy growth of minors. [0004] At present, the classification methods of most digital videos are as follows: (1), block the network addresses included in the "blacklist", and all video sources provided by the addresses on the blacklist are all classified as bad videos and restricted. (2) The recognition method based on video content usually extracts k...

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): G06K9/62
Inventor 谭文伟
Owner TCL CORPORATION
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