Sesitive Content Dataset
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Massive amounts of video are uploaded on video-hosting platforms every minute. This volume of data presents a challenge in controlling the type of content uploaded to these video hosting services, for those platforms are responsible for any sensitive media uploaded by their users.There has been an abundance of research on methods for developing automatic detection of sensitive content. In this paper, we present a sensitive video dataset for binary video classification (whether there is sensitive content in the video or not), containing 127 thousand tagged videos, Each with their extracted audio and visual embeddings. We define sensitive content as sex, violence, gore or any media that may cause distress on the viewer.
每分钟均有海量视频上传至视频托管平台。此类数据规模给平台的上传内容类型管控工作带来了挑战,因为平台需对用户上传的所有敏感媒体内容承担责任。学界已涌现出大量针对敏感内容自动检测方法的研究成果。本文提出一个用于二分类视频分类任务(即判断视频中是否包含敏感内容)的敏感视频数据集,该数据集包含12.7万条带标注的视频,每条视频均附带提取得到的音频与视觉嵌入特征。本研究将敏感内容定义为色情、暴力、血腥内容,或任何可能令观看者产生不适的媒体内容。



