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• W2896022095 abstract "Content-based pornographic 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 saliency and periodicity for pornographic video detection. At first, salient regions and periodic patterns are respectively analyzed in visual-frames and audio-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 outperforms some state-of-the-art methods." @default.
• W2896022095 created "2018-10-26" @default.
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• W2896022095 date "2018-09-01" @default.
• W2896022095 modified "2023-09-26" @default.
• W2896022095 title "Analyzing Periodicity and Saliency for Pornographic Video Detection" @default.
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• W2896022095 doi "https://doi.org/10.1109/bigmm.2018.8499467" @default.
• W2896022095 hasPublicationYear "2018" @default.
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