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Filtering Objectionable Image Based on Image Content

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PRICAI 2006: Trends in Artificial Intelligence (PRICAI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4099))

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Abstract

This paper proposes an effective system to detect adult image. We take this task as a two-class pattern classification problem, The system first applies histogram color model to detect the skin regions, then extracts color, texture, shape features from skin regions, after that, the features is fed to a SVM to determine whether the input image is benign or not. Experimental results show that the proposed method can achieve a satisfactory classification performance with high speed, which is suitable for real-world applications.

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© 2006 Springer-Verlag Berlin Heidelberg

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Jiang, Z., Yao, M., Yi, W. (2006). Filtering Objectionable Image Based on Image Content. In: Yang, Q., Webb, G. (eds) PRICAI 2006: Trends in Artificial Intelligence. PRICAI 2006. Lecture Notes in Computer Science(), vol 4099. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36668-3_127

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  • DOI: https://doi.org/10.1007/978-3-540-36668-3_127

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36667-6

  • Online ISBN: 978-3-540-36668-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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