Machine learning-based video content reviewing method and device

A technology of video content and machine learning, applied in the field of artificial intelligence, can solve the problems of labor cost and low efficiency, and achieve the effect of improving review efficiency

Inactive Publication Date: 2018-08-17
北京未来媒体科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the amount of Internet video resources is increasing, relying on manual review of

Method used

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  • Machine learning-based video content reviewing method and device
  • Machine learning-based video content reviewing method and device

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Embodiment Construction

[0059] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0060] The embodiment of the present invention discloses a method for reviewing video content based on machine learning, see figure 1 As shown, the method includes:

[0061] S101. Extract video information, audio information and text information in the video resource to be reviewed;

[0062] Specifically, the video resources to be reviewed above can be any type of video resources that exist on the Internet, such as traditional movies, TV, variety show videos,...

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Abstract

The invention provides a machine learning-based video content reviewing method and device. The method comprises the steps of extracting video information, audio information and text information in to-be-reviewed video resources; identifying and processing content violating rules of the video information through a trained convolutional neural network, and identifying and processing convent violating rules of the audio information and the text information separately through a trained recurrent neural network, so as to determine whether the video information, the audio information and the text information comprise content violating rules; and if the video information, the audio information or the text information comprises content violating rules, determining and outputting the type of the content violating rules included in the video information, the audio information or the text information. Through adoption of the method, content violating rules included in the video resources can be identified automatically, the video content is not reviewed by people, so that the video content is reviewed more efficiently.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method and device for reviewing video content based on machine learning. Background technique [0002] With the development of Internet technology, Internet video traffic has increased significantly in recent years, and various new user-generated content (User Generated Content, UGC) such as short videos and live video broadcasts have made Internet videos more and more abundant. A large number of video resources are disseminated in channels such as the Internet, mobile communication networks, and radio and television cable networks. [0003] The development of the Internet and the vigorous development of Internet video applications have facilitated users to disseminate information through videos, and at the same time facilitated the dissemination of illegal video resources containing bad information, such as those involving racial discrimination, politic...

Claims

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Application Information

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IPC IPC(8): H04N21/234H04N21/233H04N21/235G06N3/04G06N99/00
CPCH04N21/233H04N21/23418H04N21/235G06N20/00G06N3/044
Inventor 陈长伟杨晓亮田丹
Owner 北京未来媒体科技股份有限公司
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