Automatic Detection of Human Nudes
International Journal of Computer Vision - 1998 Marr Prize
Classifying offensive sites based on image content
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
A Novel Approach to Detecting Adult Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Shape-Based Adult Image Detection
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Naked image detection based on adaptive and extensible skin color model
Pattern Recognition
Recognition of Pornographic Web Pages by Classifying Texts and Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An adult image identification system employing image retrieval technique
Pattern Recognition Letters
An algorithm of pornographic image detection
ICIG '07 Proceedings of the Fourth International Conference on Image and Graphics
Nipple detection for obscene pictures
SSIP'05 Proceedings of the 5th WSEAS international conference on Signal, speech and image processing
System for screening objectionable images
Computer Communications
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This paper presents a new approach on nipple detection for adult content recognition, it combines the advantage of Adaboost algorithm that is rapid speed in object detection and the robustness of nipple features for adaptive nipple detection. This method first locates the potential nipple-like region by using Adaboost algorithm for fast processing speed. It is followed by a nipple detection using the information of shape and skin color relation between nipple and non-nipple region. As this method uses the nipple features to conduct the adult image detection, it can achieve more precise detection and avoids other methods that only detect the percentage of exposure skin area to decide whether it is an adult image. The proposed method can be also used for other organ level detection. The experiments show that our method performs well for nipple detection in adult images.