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Intelligent bad video detection method based on face retrieval

A bad video, intelligent detection technology, applied in the field of computer vision and video retrieval, to achieve the effect of ensuring completeness

Active Publication Date: 2014-08-27
UNIV OF SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0014] The problem solved by the technology of the present invention is: to overcome the deficiencies of the prior art, aiming at the problems encountered in the detection of bad video, a kind of bad video intelligent detection system and method based on face retrieval is proposed

Method used

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  • Intelligent bad video detection method based on face retrieval
  • Intelligent bad video detection method based on face retrieval

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Embodiment Construction

[0040] Such as figure 1 As shown, it is a schematic diagram of the actual deployment framework of the intelligent detection system for bad video based on face retrieval. It includes face registration module, video retrieval module, database maintenance and update module. These three modules share a search database. The main task of the face registration module is to extract the features of the faces that are known to be bad videos and pictures, and add the extracted information to the database. The work completed by the video retrieval module is to retrieve the video samples to be detected according to the data in the database to confirm whether the video to be tested is a bad video. The main work of the database maintenance and update module is to read and write to the database. Complete the construction and update of the database.

[0041] Such as figure 2 Shown is a system structure diagram of the present invention. The system consists of six modules, including video f...

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Abstract

Provided is an intelligent bad video detection method based on face retrieval. The method involves three parts, and the three parts comprise six modules in total. The video face extraction module M1 is used for extracting faces emerging in a video sample. The face gender classification module M2 is used for conducting gender classification on results obtained by the module M1. The face feature extraction module M3 is used for conducting feature extraction on obtained female faces to generate an inverted list. The database building module M4 is used for building a retrieval database for querying through output results of the module M3. The database updating module M5 is used for registering newly-found samples which are labeled as bad video and are not recorded in the database and adding registering results into the retrieval database. The face retrieval module M6 is used for comparing faces in the sample to be detected with faces in the retrieval database. The intelligent bad video detection method based on face retrieval can be used for conducting intelligent identification on video samples including common video and bad video, manpower and time are greatly saved, and meanwhile the detection accuracy is improved.

Description

technical field [0001] The invention belongs to the field of computer vision and video retrieval, specifically, the intelligent detection and recognition technology of bad video based on human face retrieval. Background technique [0002] In recent years, due to the continuous development of information technology, on the basis of image processing, more and more people have begun to pay attention to computer vision technology based on image features (especially face recognition technology). In layman's terms, that is, through the calculation of image features, the computer can recognize different people like human eyes. [0003] Due to the continuous advancement of Internet technology, network information sharing has become more and more convenient and fast. This greatly enriches the amount of information people get. However, the fast information acquisition method also makes bad information, especially bad videos, flood the network, and because the number of bad videos is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46G06F17/30
Inventor 朱明沈旭东孙永录
Owner UNIV OF SCI & TECH OF CHINA
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