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Training and auditing method and device of content auditing model, equipment and storage medium

A content and model technology, applied in the field of video review, can solve the problems of high cost of model training and low efficiency of video review

Active Publication Date: 2020-02-14
GUANGZHOU NETSTAR INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Embodiments of the present invention provide a content review model training and review method, device, device, and storage medium to solve the problem of manual labeling of image data, which leads to low efficiency in model training and application of models to review videos, and the problem of model training. high cost problem

Method used

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  • Training and auditing method and device of content auditing model, equipment and storage medium
  • Training and auditing method and device of content auditing model, equipment and storage medium
  • Training and auditing method and device of content auditing model, equipment and storage medium

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Embodiment 1

[0045] figure 1 It is a flow chart of a content audit model training method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where video data is automatically marked through time and space. This method can be implemented by a content audit model training device Execution, the training device of the content audit model can be implemented by software and / or hardware, and can be configured in computer equipment, such as servers, workstations, personal computers, etc., the method specifically includes the following steps:

[0046] S101. Receive a sample video file.

[0047] The sample video file belongs to video (vedio), which has multiple frames of continuous image data. When the continuous image data changes more than 24 frames per second, according to the principle of visual persistence, the human eye cannot distinguish a single static image. It appears to be a smooth and continuous visual effect.

[0048] In this embodiment, v...

Embodiment 2

[0078] image 3 It is a flow chart of a content review model training method provided by Embodiment 2 of the present invention. Based on the foregoing embodiments, this embodiment further refines the processing operations of extracting sample image data, locating time points, and extracting image area data. The method specifically includes the following steps:

[0079] S301. Receive a sample video file.

[0080] Wherein, the sample video file has multiple frames of image data.

[0081] S302. Divide the sample video file into at least two sample video segments.

[0082] S303. Extract part of image data from each sample video segment as sample image data.

[0083] In a specific implementation, the sample video file may be segmented according to a certain time interval t, that is, the sample video file is divided into at least two sample video segments.

[0084] For each sample video segment, n frames of image data are randomly selected as sample image data, thereby forming a...

Embodiment 3

[0120] Figure 4 It is a flow chart of a video content review method provided by Embodiment 3 of the present invention. This embodiment is applicable to the case of reviewing video data through time and space. This method can be executed by a video content review device. The auditing device for video content can be implemented by software and / or hardware, and can be configured in computer equipment, such as servers, workstations, personal computers, etc., and the method specifically includes the following steps:

[0121] S401. Receive a target video file.

[0122] The target video file belongs to video (vedio), which has multiple frames of continuous image data. When the continuous image data changes more than 24 frames per second (frame), according to the principle of visual persistence, the human eye cannot distinguish a single static image. It appears to be a smooth and continuous visual effect.

[0123] For different business scenarios, the format and form of the target ...

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Abstract

The embodiment of the invention discloses a training and auditing method and device of a content auditing model, equipment and a storage medium. The training method of the content auditing model comprises the following steps: receiving a sample video file; extracting partial image data in the sample video file as sample image data; if the content of the sample image data is illegal, positioning the time point of the sample image data in the sample video file; extracting image region data with significance from the image data surrounding the time point; and training a content auditing model according to the image region data and the sample image data. Sample image data of content violation is positioned in time, image area data with significance is positioned in space, features representingcontent violation can be rapidly sampled from a sample video file, and the quality of the features is improved in time and space dimensions, so that a content auditing model is trained, and the performance of the content auditing model can be ensured.

Description

technical field [0001] The embodiment of the present invention relates to the technology of video auditing, and in particular to the training and auditing method, device, equipment and storage medium of the content auditing model. Background technique [0002] With the development of Internet technology, Internet video traffic has increased significantly in recent years, and various new types of UGC (User Generated Content) such as short videos and live broadcasts have made Internet videos more and more abundant. [0003] At the same time, a large number of videos with illegal content, such as videos involving terror, violence, pornography, gambling, etc., are also produced and intended to be spread on the Internet. [0004] Therefore, before or after the video is released, it is generally necessary to review the content of the video to filter out videos with illegal content. [0005] In the early days, it was generally relied on to manually check whether the video resource...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06F16/783G06N3/04
CPCG06F16/783G06V20/41G06N3/045G06F18/214G06V20/46G06N3/084G06V20/49G06V10/82G06V10/22G06V10/774G06T3/40H04N21/4542H04N21/466
Inventor 石峰刘振强
Owner GUANGZHOU NETSTAR INFORMATION TECH CO LTD
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