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arXiv · 1901.03462

Analyzing Periodicity and Saliency for Adult Video Detection

Yizhi Liu·Xiaoyan Gu·Lei Huang·Junlin Ouyang·Miao Liao·Liangran Wu
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Abstract

Content-based adult video detection plays an important role in preventing pornography. However, existing methods usually rely on single modality and seldom focus on multi-modality semantics representation. Addressing at this problem, we put forward an approach of analyzing periodicity and saliency for adult video detection. At first, periodic patterns and salient regions are respective-ly analyzed in audio-frames and visual-frames. Next, the multi-modal co-occurrence semantics is described by combining audio periodicity with visual saliency. Moreover, the performance of our approach is evaluated step by step. Experimental results show that our approach obviously outper-forms some state-of-the-art methods.

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Yizhi Liu, Xiaoyan Gu, Lei Huang, Junlin Ouyang, Miao Liao, Liangran Wu. 2019-01-11. Analyzing Periodicity and Saliency for Adult Video Detection. https://arxiv.org/abs/1901.03462

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