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Identification method of harmful content of video

A technology of harmful content and identification method, applied in the field of network information identification, which can solve the problems of single identification technology and inability to accurately and effectively identify harmful content.

Inactive Publication Date: 2017-05-24
CHENGDU SANLING KAITIAN COMM IND
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, when the invention detects harmful content or harmful information in the filtered video, the recognition technology is too simple and cannot accurately and effectively identify the harmful content in the video

Method used

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  • Identification method of harmful content of video

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Embodiment Construction

[0037] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0038] Such as figure 1 As shown, a video harmful content identification method, the steps of the method are as follows:

[0039] S1. Perform video approximate copy detection on video information;

[0040] S2, identifying the harmful video text;

[0041] S3. If S1 and S2 find / or do not find harmful information, intelligently analyze the harmful content of the video, and use the deep learning target detection algorithm to identify again.

[0042] The specific steps of the S1 are as follows:

[0043] S11. Perform harmful content identification on the unknown video or image to be tested, and extract the video fingerprint of the video to be tested;

[0044] S12. Match the video fingerprint with the video fingerprint information in the video...

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Abstract

The invention discloses an identification method of a harmful content of a video. The method includes steps of S1, performing video approximate copying detection on the video information; S2, identifying the harmful video text through a harmful video text identifying technology; S3, when the harmful information is not found from the video or image to be detected through above two steps, intelligently analyzing the harmful content of the video and re-identifying the content by the detecting algorithm of depth study goal. Through the method of combining the depth study, an SIFT feature pick-up algorithm and an OCR optical character identifying technology, the content to be detected in the video and the image can be rapidly identified, the purpose of identifying multi-dimensional harmful content of the video or image information can be achieved.

Description

technical field [0001] The invention relates to the technical field of network information identification, in particular to a video harmful content identification method. Background technique [0002] With the continuous and in-depth development of deep learning algorithms, computer vision technology, and mobile communication technology, multimedia information and entertainment programs can be provided to users through channels such as the Internet, mobile communication network, radio and television cable network, and terminals such as computers, mobile phones, and set-top boxes. In recent years, the development of large-scale video sharing websites has provided a wider platform for people to share videos, and at the same time, the amount of video data has shown an exponential growth trend. The huge amount of data and the disorder of video information itself also make the identification, retrieval and management of videos more and more complicated. Relying solely on manual c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/735G06F16/7844
Inventor 曾兵沈宜贾宇郭先会董文杰
Owner CHENGDU SANLING KAITIAN COMM IND
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