Statistical Color Model Based Adult Video Filter

Liang Yin, Mingzhi Dong, Weihong Deng, Jun Guo, Bin Zhang
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引用次数: 4

Abstract

This paper, guided by Statistical Color Models, proposes a real-time Adult Video detector to filter the adult content in the video. A generic color model is constructed by statistical analysis of the sample images containing adult pixels. We fully utilize the video continuity characteristics, i.e. preceding and following N frames considered in the classification. Our method, through experimental, displays a satisfactory performance for detecting adult content. The reminder of the paper addresses the application of real-time adult video filter that blocks adult content from kids.
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基于统计色彩模型的成人视频滤镜
本文以统计色彩模型为指导,提出了一种实时成人视频检测器,用于过滤视频中的成人内容。通过对包含成人像素的样本图像进行统计分析,构建了一个通用的颜色模型。我们充分利用了视频的连续性特征,即分类中考虑的前后N帧。通过实验,我们的方法对成人内容的检测效果令人满意。论文的提醒说明了实时成人视频过滤器的应用,该过滤器可以阻止儿童观看成人内容。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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