Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-characteristic analysis-based CG animation video detecting method

A video detection and multi-feature technology, applied in the field of image processing, can solve the problems of large resource consumption, save labor, solve subjective errors, and improve the effects of classification errors

Active Publication Date: 2012-07-04
SHANGHAI JIAO TONG UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For a huge animation material library, such a classification method consumes a lot of resources

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
  • Multi-characteristic analysis-based CG animation video detecting method
  • Multi-characteristic analysis-based CG animation video detecting method
  • Multi-characteristic analysis-based CG animation video detecting method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The embodiments of the present invention are described in detail below. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following implementation example.

[0040] This embodiment includes the following steps:

[0041] The first step is to establish training samples for subsequent SVM classification tests.

[0042] The specific steps are;

[0043] 1.1) Download animation video material from the Internet, the material is CG animation and traditional animation of the determined type.

[0044] 1.2) Extract the key frame picture of the animation material.

[0045] 1.3) Extract the LBP feature vector of the picture and combine it into a txt file, which is the training sample. Among them, CG animation is used as a positive sample, marked as 1; traditional animation is us...

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 multi-characteristic analysis-based CG animation video detecting method in the technical field of image processing. Characteristic of an animation is extracted on two aspects of static image and dynamic representation aiming at an animation manufacturing mode so that the animation classification does not tend to a static classification mode of the animation any more; multi-dimensional vector-based textural characteristic can judge the type of the animation more accurately on multiple aspects; and the comprehensive analysis of the two characteristics considers the manufacturing mode of the animation in dynamic and static states more comprehensively so as to achieve the accurate classification effect. Whether a CG animation technique, namely a computer graph technique is used in the dynamic image during manufacturing is finally differentiated by extracting kinetic and textural descriptors.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a CG animation video detection method based on multi-feature analysis. Background technique [0002] At present, computer graphics technology continues to attract the attention of the animation industry, and CG animation has become a popular development field for major game companies and animation studios. This trend has also resulted in the diversification of animation video types on the Internet. For the convenience of user retrieval, a large number of animation video libraries need to be artificially added with text tags to define animation types. Such tedious and repetitive human labor consumes a lot of manpower. At the same time, because there is no reliable data analysis for the classification of animation types, sometimes human misunderstandings will also cause material classification errors. This detection method detects whether computer technology i...

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): G06F17/30H04N5/14
Inventor 孙锬锋蒋兴浩余佳敏赵妍李荣杰
Owner SHANGHAI JIAO TONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com