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

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
View PDF5 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • 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

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

Examples

Experimental program
Comparison scheme
Effect test

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...

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 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

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 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
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