On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning - Special issue on learning with probabilistic representations
Automatic Detection of Human Nudes
International Journal of Computer Vision - 1998 Marr Prize
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A K-NN Associated Fuzzy Evidential Reasoning Classifier with Adaptive Neighbor Selection
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
PEBL: Web Page Classification without Negative Examples
IEEE Transactions on Knowledge and Data Engineering
A Novel Approach to Detecting Adult Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Web image clustering by consistent utilization of visual features and surrounding texts
Proceedings of the 13th annual ACM international conference on Multimedia
Recognition of Pornographic Web Pages by Classifying Texts and Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
System for screening objectionable images
Computer Communications
Malicious content filtering based on semantic features
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Mining search intents for collaborative cyberporn filtering
Journal of the American Society for Information Science and Technology
A survey on visual adult image recognition
Multimedia Tools and Applications
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Judging whether a web image contains people is useful in both pornographic image recognition and image filtering when searching for images of people. We proposed an approximate but rapid method to solve this problem. For a web image, three types of probabilities are calculated from the image itself, the image’s associated texts and the title of the web page it located, respectively. Then a final probability representing the people’s existence is achieved by fusion of the three probabilistic values. Based on the probability of people’s existence, we proposed a two-layer framework for pornographic image recognition and a solution of image retrieval respectively. In the experiments conducted, our proposed framework and solution demonstrate good performances in the image recognition and filtering respectively.