Automatic video advertisement detection method

An automatic detection and video advertising technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of model accuracy, dependence, and complex advertising lens frames, etc., to achieve good classification effect and fast training speed , the effect of improving efficiency

Inactive Publication Date: 2014-02-26
FUDAN UNIV
View PDF2 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0020] The disadvantages of this type of method are: First, it relies too much on the training data, the frame of the advertising shot is complex, and the selection of samples by people is subjective, so there are often problems with the composition of the training data, which will cause different detection samples. The accuracy of the model will vary greatly; second, learning-based advertisement detection needs to judge which frames are advertisement shots from the video, and in most cases, the task of advertisement detection is to calibrate the complete advertisement sequence, including The start position and end position of an advertisement, this method has a serious problem of inaccurate positioning of the border of the advertisement area

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
  • Automatic video advertisement detection method
  • Automatic video advertisement detection method
  • Automatic video advertisement detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] data preparation

[0053] The data comes from the digital TV videos of many TV stations such as CCTV and SBTV provided by Dongfang Cable, from which more representative and complete 24-hour TV data are selected. It is necessary to manually segment the continuous segment video of the advertisement from the data first, which can be assisted by a shot segmentation program, and the final result is a continuous segment of the advertisement video.

[0054] Select the first frame of the transition as the representative key frame, and manually select the FMPI key frame, the normal advertising frame, and the non-ad transition frame. The selected data are real videos collected from TV stations such as CCTV and SBTV, and a total of 2,535 FMPI frames are obtained. From these FMPI images, 1,000 frames are selected and mixed with 500 ordinary advertising video frames and 500 non-advertising video frames as training samples , Training the SVM classifier; the test sample is selected from t...

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 relates to an automatic video advertisement detection method. The method comprises the following steps: a digital television signal or a local video format broadcast by a television station is input; then, shot segmentation, key frame extraction, FMPI frame classification, copy detection and suspected advertisement detection are carried out on a video by comprehensively adopting color, texture and edge features; and finally an advertisement component in the video is analyzed out. The automatic video advertisement detection method can be used for filtering advertisements in digital television rebroadcast and solving the problem of automatic video data annotation in projects. The method adopts the concept of FMPI key frame, greatly improves the advertisement copy detection accuracy and algorithm efficiency and provides a very reliable basis for making a classifier based on the characteristics of an FMPI key frame for suspected advertisement detection.

Description

technical field [0001] The invention belongs to the technical field of computer video processing, and in particular relates to an automatic detection method for video advertisements. Background technique [0002] The integration of the three networks will be an important direction for my country's informatization development in the next few years, and the integration of radio and television networks and the Internet is an important part of it. With the maturity of Internet and high-speed broadband network technology, the entire Internet has the ability to transmit high-quality audio, video and data at the same time. At the same time, compared with the traditional TV broadcasting network, the characteristic of the Internet is that the data transmission of the Internet is high-speed and two-way. After the integration, TV users will enjoy an unprecedented interactive mode by taking advantage of this two-way transmission. Utilizing the look-back function in the interactive TV, ...

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): G06K9/66
Inventor 金城吴渊段超薛向阳
Owner FUDAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap