A content-based detection method for pornographic content in high-duration videos
A content detection and content technology, which is applied in the field of video content review, can solve problems such as dependence on labor, long time consumption, and large computing resources, and achieve the effect of overcoming the low efficiency of long videos
Active Publication Date: 2022-06-07
LANZHOU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology
[0005] In order to overcome the shortcomings of the existing million-level resolution and video review method with a duration of more than 30 minutes, which are highly dependent on manual work, take a long time, and consume huge computing resources, the present invention proposes a content-based high-duration video pornographic content detection method to efficiently and intelligently to review
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[0068] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0069] See figure 1 , the present invention is based on the content-based high-time video pornographic content detection method, comprising the steps:
[0070] S1: construct a high and low resolution feature map fusion unit module, and use the high and low resolution feature map fusion unit module to construct a multi-resolution image preprocessing network;
[0071] S2: Label the megapixel-level video data, input the multi-resolution...
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The invention discloses a content-based high-duration video pornographic content detection method, which includes the steps of: constructing an S3D-G network for convolution in the time domain and space domain; training to obtain a video classification network model; inputting the processed thumbnail video into the video Carry out video classification in the classification network model; construct a text sentiment classification network, use the data set to train the text sentiment classification network, and obtain a review pornographic content classification model; classify the comment text attached to the original video, and record the results; construct image classification Network, use the data set to train the image classification network to obtain the cover pornographic content classification model; classify the cover image attached to the original video, and record the results; comprehensively evaluate the results of the video, cover and comments of the original video. The invention overcomes the disadvantages of low efficiency, high hardware requirements and high delay in processing long video with high resolution changes in the prior art.
Description
technical field [0001] The invention relates to a video content review method, in particular to a content-based high-duration video pornographic content detection method. Background technique [0002] The rapid development of Internet technology and self-media has brought a lot of convenience to people's work and life. However, while online video resource sharing provides people with convenience, some bad videos such as violence and pornography seriously endanger the physical and mental health of young people. my country's "Constitution" and "Minors Protection Law" expressly prohibit harmful video content. This makes video review technology an indispensable and important technology for major video websites, which has attracted widespread attention. [0003] Existing video review methods mostly use manual methods, and video reviewers are often inefficient when reviewing. However, some intelligent recognition methods that do not require human intervention, such as traditiona...
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IPC IPC(8): G06F16/38G06F16/35G06V20/40G06V10/774G06V10/80G06V10/764G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06F16/38G06F16/35G06N3/08G06N3/045G06N3/044G06F18/214G06F18/24G06F18/253
Inventor 赵宏张陈鹏王奡隆常有康党育赵凡胡质彬倪志敏
Owner LANZHOU UNIVERSITY OF TECHNOLOGY