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Video content detection method and video content detection system based on self-adaption sampling

A technology of video content and detection method, which is applied in the fields of digital video signal modification, instrumentation, calculation, etc., can solve the problems of low work efficiency and large workload of video content detection, so as to reduce detection time, balance detection accuracy, and improve detection. The effect of efficiency

Active Publication Date: 2014-01-29
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0004] Aiming at the defects of the prior art, the present invention proposes a video content detection method based on adaptive sampling, the purpose of which is to solve the technical problem of high workload and low work efficiency of video content detection in the prior art

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  • Video content detection method and video content detection system based on self-adaption sampling

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0036] Such as figure 1 As shown, the present invention proposes a video content detection method, comprising:

[0037] (1) set up a training atlas, which includes normal pictures and bad pictures in the training atlas;

[0038] (2) training an image classifier according to the training atlas, and the image classifier is used to judge whether the sampled image in the video to be detected is a ...

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Abstract

The invention discloses a video content detection method and a video content detection system based on self-adaption sampling. The video content detection method includes: establishing a training graph set, training according to the training graph set to obtain an image classifier, and subjecting a to-be-detected video to decoding to generate an image sequence; based on the self-adaption sampling method, utilizing the image classifier to perform sampling detection upon the generated image sequence, and according to a result of the sampling detection of the image sequence, judging whether the to-be-detected video is an objectionable video or not. Through the technical scheme and adoption of the dynamic self-adaption sampling method, when video content is detected, good balance is achieved in detection accuracy and detection efficiency, the detection accuracy is guaranteed, number of sampling frames is decreased, the detection efficiency is improved, and beneficial effect of rapid detection can be achieved.

Description

technical field [0001] The invention belongs to the field of digital video processing, and in particular relates to a video content detection method and system based on adaptive sampling. Background technique [0002] The Internet has become an important way for people to obtain information and understand the world. However, the current content on the Internet is uneven. Sensitive information on the Internet, especially the dissemination of pornographic novels, pornographic images and videos, has disrupted social order, damaged social atmosphere, and negatively affected the healthy growth of people, especially young people. Ensuring that young people are not affected by the bad online content that is widely disseminated on the Internet has important theoretical and practical significance for maintaining social stability and protecting the physical and mental health of young people. [0003] At present, in the aspect of network bad video detection, the content detection meth...

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Application Information

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IPC IPC(8): G06K9/62H04N19/44
Inventor 徐晶刘威许炜肖颖曾苗祥刘舟孙鑫杨娟
Owner HUAZHONG UNIV OF SCI & TECH
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