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Content-based video classification method

A video classification and video technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as side effects, achieve the effect of improving effects, simplifying features, and improving classification efficiency

Inactive Publication Date: 2010-11-24
FUDAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although this description is sufficient to express the characteristics of various aspects of the video, in video feature extraction, it is not that the more types or dimensions of features used, the better. When the number of features exceeds a certain limit, side effects will appear instead.

Method used

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  • Content-based video classification method

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The following is a detailed introduction to the experimental feature extraction algorithm and the construction of the expert system:

[0038] 1. Video feature extraction algorithm

[0039] (1) Color gradient (Gradient):

[0040] G(i)=max(|r(i)-r'(i) neighbor |)+max(|g(i)-g′(i) neighbor |)+max(|b(i)-b′(i) neighbor |)(neighbor=1, 2,..., 8), respectively calculate the maximum value of each pixel and its 8 adjacent pixels; r, g, b respectively represent red, green, blue colors,

[0041] (2) Histogram mean (MH):

[0042] His _ mean [ i ] = Σ j = 1 n His [ i ] j n , ( i = 1,...

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Abstract

The invention belongs to the technical field of computer video treatment and particularly discloses a video classification method. The time and color feature fusion-based classification method is provided by taking cartoons, commercial advertisements, films, news and athletic contests as classification objects, determining to select a color with the best classification effect from bottom-layer features (such as color, texture and shape) of a video as a classification feature on the basis of summarizing and analyzing conventional classification algorithms, and performing comparison, analysis and summarization on various classification algorithms based on the color feature. As each feature has a preference for a certain type of video classification effect and the preference is referred to as an expert feature of the video of the type, an expert system is further used for making the features cooperate to improve the classification accuracy and the efficiency at the same time.

Description

technical field [0001] The invention belongs to the technical field of computer video processing, and in particular relates to an efficient video classification method. Background technique [0002] With the rapid development of network multimedia technology, the continuous improvement of network transmission speed and the continuous improvement of compression technology, various multimedia information is emerging, digital library, distance education, video on demand, digital video broadcasting, interactive TV, etc. A large amount of multimedia data is used. Even if we stay at home, the multimedia information we come into contact with is also increasing massively. In order to help users effectively retrieve relevant information and quickly obtain interesting multimedia information to provide better entertainment enjoyment, some tools are needed to help users extract corresponding content and perform effective operations on these large amounts of multimedia information, so c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 路红陈剑峰金城薛向阳
Owner FUDAN UNIV