Video frequency advertisement recognition method based on layered matching

A technology of video advertisement and identification method, applied in the field of video advertisement identification based on layered matching, can solve the problems of inability to form a TV monitoring system, difficult to find thresholds, low accuracy rate and recall rate, etc.

Inactive Publication Date: 2008-04-16
BEIJING JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

But because ads are multi-formatted, and the differences between ads with different styles are also very obvious, it is difficult to find a common distinguishing feature
In addition, the detection system may be sensitive to certain thresholds, so it is difficult to find a unified set of thresholds for all types of videos
Moreover, such methods rely too much

Method used

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  • Video frequency advertisement recognition method based on layered matching
  • Video frequency advertisement recognition method based on layered matching
  • Video frequency advertisement recognition method based on layered matching

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Embodiment Construction

[0070] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0071] According to the technical solutions introduced above, we can easily apply the present invention to advertisement monitoring to provide users with accurate advertisement identification services. In conjunction with the accompanying drawings, we describe in detail the specific implementation of the present invention.

[0072] 1. Segmentation of advertising shots

[0073] In the present invention, the purpose of video segmentation is not to divide the video into semantic units, but to reduce the computational complexity by clustering similar video frames. This system uses an optimized single-threshold mutation shot segmentation method. Its operation process is as follows:

[0074] (1) Read the input video file in frame format, convert each frame read in from RGB space to grayscale space, cut the image, and only keep 8 small blocks of 64...

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Abstract

The present invention relates to a video advertisement identifying method based on hierarchical matching. Through locality sensitive hash (LSH) and fine granularity successive elimination (FGSE), the method which can rapidly inspect whether TV programming contains the advertisements as listed in database is developed by utilizing the novel video features of advertisements and post-treatment technology. The technical proposal is that the present invention is characterized in comprising the following steps of the establishment of offline database and online monitoring, wherein, the offline database consists of offline pre-treatment and Hash form preparation; the online monitoring consists of online pre-treatment, from-coarse-to-fine secondary matching and post-treatment.

Description

technical field [0001] The invention belongs to the field of video advertisement identification methods, in particular to a video advertisement identification method based on hierarchical matching. Background technique [0002] With the advancement of science and information technology, especially the continuous development of computer technology, network technology and large-capacity storage technology, people have used various means to collect and produce a large number of various types of multimedia information data. Multimedia has become the main component of transmitting data on the information superhighway. Among these multimedia information, digital media combines vision and hearing, effectively provides a large amount of information to people, and has important application and research value. [0003] In the multimedia data stream, both structured data and unstructured data are included. In addition to traditional text and numbers in multimedia data, other data typ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/46
CPCG06K9/00711G06V20/40
Inventor 赵耀刘楠朱振峰
Owner BEIJING JIAOTONG UNIV
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