Machine Learning
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Bayesian Hierarchical Model for Learning Natural Scene Categories
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Estimating the Support of a High-Dimensional Distribution
Neural Computation
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Automatic detection of child pornography using color visual words
ICME '11 Proceedings of the 2011 IEEE International Conference on Multimedia and Expo
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Porn image detection has been treated as a binary classification task in previous learning based studies. In binary classification methods, the training samples cannot be collected broadly enough, which will limit the generalization ability of the classifiers. This paper seeks to solve this problem with one-class method. First, BoW model mixed with skin color detection is used for feature extraction and image representation. Then we train a one-class visual dictionary from pornographic image training set. Third, to make BoW model suitable for one-class classification, we employ random forests to select important variables and optimize the original BoW vectors. At last, we train a classifier using one-class SVM with unlabeled data (optimized image representation vectors) of pornographic images training set. As far as we are aware, it is the first attempt to treat pornographic image detection as a one-class classification task. Experimental results on different kinds of testing images demonstrate that the proposed one-class method can achieve a good performance on both normal images and pornographic images with lower time consumption.