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 high resource consumption, save labor, solve subjective errors, and achieve high accuracy

Active Publication Date: 2011-02-16
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

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

Method used

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  • 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

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Embodiment Construction

[0047] 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.

[0048] This embodiment includes the following steps:

[0049] The first step is to establish training samples for subsequent SVM classification tests.

[0050] The specific steps are:

[0051] 1.1) Download the animation video material from the Internet, the material is CG animation and traditional animation of the determined type.

[0052] 1.2) Extract the key frame picture of the animation material.

[0053] 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 i...

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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

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N7/24G06T13/00H04N7/26
Inventor 孙锬锋蒋兴浩余佳敏赵妍李荣杰
Owner SHANGHAI JIAO TONG UNIV
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