Picture missing detection processing method and related device thereof
A processing method and image technology, applied in still image data retrieval, still image data query, biological neural network model, etc., can solve problems such as missing detection, dissemination of illegal images, etc.
Pending Publication Date: 2022-01-18
E-SURFING DIGITAL LIFE TECH CO LTD
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Problems solved by technology
[0003] This application provides a method for processing missed detection of pictures and related devices, which are used to improve the situation that existing audit models are prone to missed detection, which leads to technical problems in the dissemination of illegal pictures
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[0046] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0047] For ease of understanding, see figure 1 , the embodiment of the present application provides a method for processing missing pictures, including:
[0048] Step 101 , when receiving the first picture to be reviewed, conduct picture content review on the first picture to be reviewed through the violation review model, and obtain the review result of the first...
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The invention discloses a picture missing detection processing method and a related device thereof, and the method comprises the steps: carrying out the picture content verification of a first to-be-verified picture through a violation auditing model, and carrying out the optimization training of the violation auditing model when there is picture missing detection; storing the feature vector of the missing detection picture in a preset feature database to obtain an updated feature database; when a second to-be-verified picture is received and the optimization training of the violation auditing model is not completed, performing picture content auditing on the second to-be-verified picture through the violation auditing model, and comparing the feature vector of the second to-be-audited picture with the feature vector in the updated feature database to obtain a final auditing result of the second to-be-verified picture; and when the second to-be-verified picture is received and the optimization training of the violation auditing model is completed, adopting the violation auditing model after optimization training to perform picture content auditing on the to-be-verified picture, so that the technical problem that the violation picture is spread due to the fact that an existing auditing model is prone to missing detection is solved.
Description
technical field [0001] The present application relates to the technical field of picture review, in particular to a method for processing missing pictures and related devices. Background technique [0002] With the strengthening of online content publishing management and the rapid development of deep learning in the field of computer vision, image content review based on deep learning has become a research hotspot for major content publishing platforms. However, the current deep learning model cannot realize 100% recognition of all illegal pictures, and there is a risk of missing illegal pictures. Once the illegal pictures are released, it will have a bad impact on the company and society. In the event of missed inspection of illegal pictures, if the conventional method is adopted, the following steps are basically required: collecting data, training the model, testing the model, and deploying it online. However, it is difficult to collect illegal pictures in a short time...
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Login to View More IPC IPC(8): G06F16/53G06V10/774G06N3/02G06K9/62
CPCG06F16/53G06N3/02G06F18/214
Inventor 孙立奋许超陈培实李敬昭毛绍嵘杨珉刘金铭
Owner E-SURFING DIGITAL LIFE TECH CO LTD