Video copying detection method for advertisement detection

A technology for video copy detection and advertising audio, which is applied in special data processing applications, speech analysis, instruments, etc., to achieve the effect of fast detection process and accurate results

Inactive Publication Date: 2014-02-26
FUDAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

The second type of method is a trademark-based algorithm. This type of method can only identify advertisements through TV station trademarks [5,6]
The third category is the recognition-based method, which can only detect one advertisement through the video signature [3,4]
The disadvantage of the first method is that it cannot handle new ads and is slower
Performance degrades as sample size increases
The second method relies on the artificial subjective visual image of the sample library and advertisement features, and there is no good method for advertisements with complex conditions.
However, these methods are highly dependent on the training set, and the difference between the classifiers obtained by training with different samples is relatively large. Class methods face increasing difficulties

Method used

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  • Video copying detection method for advertisement detection
  • Video copying detection method for advertisement detection
  • Video copying detection method for advertisement detection

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Experimental program
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Embodiment Construction

[0056] The present invention will be further elaborated below in conjunction with accompanying drawings and examples.

[0057] figure 1 Flowchart for image-based video copy detection.

[0058] figure 2 Flowchart for extracting features of advertising images.

[0059] 1. The following is a detailed introduction to the experimental shot segmentation algorithm and the establishment of the advertisement feature database.

[0060] 1.1 Shot Segmentation Algorithm

[0061] Here the color feature selects the color histogram of HSV, where the histogram only selects the h and s components, and the reason why v is not selected is that for the gradient, the hue and saturation will not change greatly, but the brightness will be in this process. If there is a large change, removing this component will have a certain degree of adaptability to the gradient.

[0062] Color Histogram Change Rate (HCR):

[0063]

[0064] in , Respectively represent the color histograms of two adja...

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Abstract

The invention belongs to the technical field of computer video processing and particularly discloses a video copying detection method for advertisement detection. The video copying detection method for the advertisement detection comprises firstly detecting candidate matching advertisement fragments through an audio matching method, then verifying the candidate matching advertisement fragments through an image matching method and achieving video copying detection. The video copying detection method for the advertisement detection has the advantages of being efficient due to an algorithm which combines image and audio features and enabling large-sized video to be processed and being rapid in detection process and accurate in result.

Description

[0001] technical field [0002] The invention belongs to the technical field of computer video processing, in particular to an efficient video retrieval method. [0003] Background technique [0004] Advertising on TV has a great impact on our lives, although most viewers don't like to watch commercials. Ad detection in TV has many uses. For example: companies placing advertisements usually check that their advertisements are airing according to the contract; some companies may also want to know what their competitors are doing [5]; companies producing advertisements may want to investigate all currently airing Ads, and then create more impactful ads. From a consumer's point of view, they may want to record TV shows but not commercials. Currently, however, human intervention is necessary for this to work. Therefore, it is necessary to automatically detect advertisements in TV. [0005] There has been a lot of research on the automatic detection of advertisements in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G10L25/03
CPCG06F16/783G06F16/7834G10L25/18G10L25/54
Inventor 金城吴渊赵花婷薛向阳
Owner FUDAN UNIV
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