Adult Content Web Filtering and Face Detection Using Data-mining based Skin-color Model

Abstract : The paper presents a novel approach for robust skin-color detection using data-mining techniques. The goal of skin-color detection is to select the appropriate color model that allows pixels to be verified under different lighting conditions and other variations. When the appropriate color model is selected, it is implied that we have good skin-color classifier properties for skin detection. This model has been successfully applied to face detection and Web based adult content filtering issues.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01588397
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Submitted on : Friday, September 15, 2017 - 3:53:31 PM
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Liming Chen, Latifa Hamami, Dzmitry Tsishkou. Adult Content Web Filtering and Face Detection Using Data-mining based Skin-color Model. IEEE International Conference on Multimedia and Expo, ICME'04, Jun 2004, Taipei, Taiwan. ⟨10.1109/ICME.2004.1394214⟩. ⟨hal-01588397⟩

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