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Colored constant characteristic extraction method and system under Internet video studio environment

A technology of Internet and feature extraction, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems such as bad video detection, and achieve the effect of ensuring real-time performance and accuracy

Inactive Publication Date: 2016-06-08
WUHAN HONGRUIDA INFORMATION TECH CO LTD
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  • Abstract
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Problems solved by technology

, to solve the problem of effectively detecting bad videos while maintaining smooth video broadcasting on the Internet

Method used

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  • Colored constant characteristic extraction method and system under Internet video studio environment
  • Colored constant characteristic extraction method and system under Internet video studio environment
  • Colored constant characteristic extraction method and system under Internet video studio environment

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Embodiment

[0118] The system consists of four levels, including environment detection and control, feature extraction, foreground extraction, and judgment warning.

[0119] The invention proposes a real-time color constant Retinex skin color feature extraction method.

[0120] Skin color in images and videos is the most prominent basic characteristic of human beings. According to the Retinex principle, it has the stability and invariance of the relative relationship of colors under partial occlusion conditions. Therefore, skin color detection is usually the most effective preprocessing step for human behavior recognition, and is the first key link in bad video detection.

[0121] Combination of offline and online methods

[0122] As mentioned above, the maximum likelihood (ML) conditional probability classification method under the classic SPM model requires a ROC process, that is, the receiver needs to adaptively determine the threshold according to the operating characteristics. This ...

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Abstract

The invention relates to the technical field of image and video processing and in particular relates to a colored constant characteristic extraction method and system under an Internet video studio environment, which are used for a porn video detection system, and a detection method and system. By adopting an online and offline combining method, after statistical classification of skin and non-skin classification probability density of anchor groups in an Internet studio is finished offline, an ROC (Receiver Operating Characteristic) curve of colored constant characteristics of each anchor is formed; a lookup table mode is conveniently finished online and real-time image acquisition and processing can be conveniently carried out on playing videos; and the ROC curve of the colored constant characteristics of each anchor, which is acquired offline, is compared, so that the accuracy of color temperature detection of skin color is guaranteed, and the instantaneity of system operation is also ensured.

Description

technical field [0001] The invention relates to the technical field of image and video processing, in particular to a real-time color constant feature extraction method and system in an Internet video studio environment, a system for detecting bad video, and a detection method and system. Background technique [0002] With the explosive development of the mobile Internet, makers and followers of bad videos are also using more means and methods to spread negative energy, chase high profits and poison young people. So far, there are many basic research results on detecting bad videos, but many difficulties have been encountered in practical applications. [0003] So far, there is no ready-made experience in the existing technical achievements of network bad video detection to achieve the above goals. According to the research and analysis of similar international research results, there are key technical problems in each level of the system that need to be overcome. [0004] ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/47G06F18/2415
Inventor 朱山朱光喜喻西香
Owner WUHAN HONGRUIDA INFORMATION TECH CO LTD
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