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This paper researches the features of pornographic videos sensitive body videos, and presents a method to recognize and shield the sensitive content automatically. Skin color is one of important cues for pornographic video's detection. Firstly, transform the color space, calculate Gaussian probability distribution, definite threshold value, analyze texture and noise to extract skin message from a...
A fused background model that combines the eigenbackground with Gaussian models is proposed. We adopt the eigenspace model to build the intensity information for each pixel. Unimodal Gaussian density methods with less computational cost are used to describe color information for each pixel. An adaptive strategy is used to integrate the two models. Using the fused background model, we subtract the...
This paper proposes background segmentation methods that integrate color, Ibp contrast and motion cues so as to improve the segmentation results. The background color models based on GMMs are developed to describe the scene. Motion cues is presented to detect the legitimate moved foreground pixels combining with the background subtraction. Lbp contrast features are used to calculate the image contrast...
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