Rapid detection method and system for television commercials

Abstract

Disclosed are rapid detection method and system for television commercials. The method includes: detecting switching of a television video lens and acquiring lens switching image frames and the value of similarity relation between any two image frames within subsequent preset continuous frames so as to obtain a matrix of relation between any two image frames; calculating offset distance between minimum relation values of each image frame and other image frames; calculating average offset distances of the image frames in each group; if the average offset distances of the frames in the certain group are larger than the preset offset distance threshold, confirming that a commercial begins from the group of image frames; if the average offset distances of the frames in the certain group are smaller than or equal to the preset offset distance threshold, confirming that the commercial ends at the image frames in the group. The fast detection method and system are higher in accuracy of television commercials detection and less in massive data calculation, and user experience is improved evidently.

Description

technical field [0001] The invention relates to the technical field of televisions, in particular to a method and system for quickly detecting television advertisements. Background technique [0002] With the development of network and computer technology, multimedia digital video and TV are becoming more and more popular. As an important component of digital video and digital TV, video advertisement is increasingly affecting people's life. With the massive increase of advertisements and the diversification of advertisement content forms, there is an urgent need to manage and supervise the advertisement content, and at the same time, it is necessary to improve the user experience of viewers. The detection and processing of advertisement fragments caters to the above requirements. At present, the detection methods of TV advertisements are divided into four categories. The first category is the method based on the station logo, because the station logo will appear in a consp...

AI Technical Summary

Problems solved by technology

This method has two shortcomings, one is that it cannot be applied to all types of programs; the other is that some station logos are translucent and changeable, which is difficult to detect

This method has a high accuracy rate, but many ad insertion forms are more and more natural, without black frames and still frames

The third category is the method based on the cut rate of the lens. The advertisement content is to expand the amount of information, and the change of many video lenses results in significant changes in the video content.

This method needs to configure a large database, the maintenance workload is heavy, and it is impossible to check out the content of new advertising data

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