We address the challenge of detecting pornographic content in video streams. On offensive material crawled from different pornographic websites and non-offensive clips from YouTube (a total of 500 hours of video), we first study a compressed-domain activity descriptor based on MPEG motion compensation vectors. We show that the approach offers an interesting alternative but generalizes poorly between videos compressed with different codecs, a problem that can be overcome to some extent by adding noise to the image data prior to video compression.
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Ulges et al. (2012) studied this question.
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