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Shot-based television advertisement recognition method

An identification method and technology for TV advertisements, applied in the field of advertisement identification, can solve the problems of high calculation cost and low identification efficiency, and achieve the effect of improving identification efficiency, reducing calculation cost and improving efficiency.

Inactive Publication Date: 2018-09-14
BEIJING JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 2. High calculation cost and low recognition efficiency
Existing technology uses all the videos in the TV broadcast to match the advertisements, but in fact, the advertisements in the broadcasts only account for a small part

Method used

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  • Shot-based television advertisement recognition method

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Embodiment

[0059] The embodiment of the present invention first decomposes the continuous video data into different shots, then uses the convolutional neural network to extract the features of each shot, and performs dimensionality reduction processing on the feature vector, and uses the trained support vector machine to classify whether the shot is advertise. After classifying the advertising shots, use the image and audio features in the shots to identify the content of the advertising shots, that is, identify which company or product the shot is an advertisement for.

[0060] The purpose of the present invention is to monitor commercial advertisements played in TV broadcasts. Commercial advertisements in this embodiment refer to promotional videos about enterprises, groups or products produced in TV broadcasts, and do not include public service advertisements and local government tours. Advertisements placed in promotional advertisements, variety shows, and film and television program...

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Abstract

The invention discloses a shot-based television advertisement recognition method. The method comprises the following steps: firstly, decomposing continuous video data into shots; then extracting the features of each shot by a convolution neural network; performing dimension reduction processing on feature vectors; classifying the shots into advertisements and non-advertisements by a trained classification model; and after advertisement shots are classified, recognizing the content of the advertisement shots by using image and audio features in the shots, that is, recognizing the shots are advertisements of which company or product. The aim of the invention is to monitor commercial advertisements broadcast in television broadcasting; the advertisements can be recognized in various programssuch as movies, TV shows, variety shows, news and sports, and among different programs; the calculation cost can be lowered; and the efficiency is increased.

Description

technical field [0001] The invention relates to the technical field of advertisement identification, in particular to a lens-based television advertisement identification method. Background technique [0002] Advertising is becoming more and more important to the development of today's business, but most of the current research is on Internet advertising, and there is little analysis and monitoring of TV advertising. Due to the high cost, TV advertisements are often more reflective of the development direction of a company or a product. Automatic advertisement recognition technology is the key technology to accurately and effectively monitor the amount of advertisement broadcast. For advertising customers, the effect of advertisement placement can be analyzed by monitoring the actual broadcast volume, combined with ratings data and sales conditions; for market analysis and consulting agencies , this measurement provides data reference for its analysis of enterprise developm...

Claims

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Application Information

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IPC IPC(8): H04N21/258H04N21/439H04N21/44
CPCH04N21/44008H04N21/25891H04N21/4394
Inventor 陈一帅李梦月郭宇春陈勣
Owner BEIJING JIAOTONG UNIV
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