Methods of Pornography Detection: Review

Sasan Karamizadeh, Abouzar Arabsorkhi
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引用次数: 13

Abstract

In recent years, prone images and other such indecent matter are available on the social media and the Internet for children. Filtering of image porn has become one of the big changes for searches; they are tied to finding methods to filter porn images. Social media network is interested in filter porn images from normal ones. Analysis method uses the bright image to automatically detect and filter images in the media. In this paper, we have reviewed methods such as color based, shape based, local and global feature approach, deep learning and bag-of-words for filtering porn images which include comparing with the advantages and disadvantages.
色情检测方法综述
近年来,在社交媒体和互联网上,儿童可以看到有倾向的图片和其他不雅内容。对色情图片的过滤已经成为搜索的一大变化;他们的任务是寻找过滤色情图片的方法。社交媒体网络对从正常图片中过滤色情图片感兴趣。分析方法利用明亮图像对媒体中的图像进行自动检测和过滤。在本文中,我们回顾了基于颜色、基于形状、局部和全局特征、深度学习和词袋过滤色情图像的方法,并比较了它们的优缺点。
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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