Automatic Detection of Human Nudes
International Journal of Computer Vision - 1998 Marr Prize
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Non-retrieval: Blocking Pornographic Images
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Does Colorspace Transformation Make Any Difference on Skin Detection?
WACV '02 Proceedings of the Sixth IEEE Workshop on Applications of Computer Vision
Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
System for screening objectionable images
Computer Communications
InFeRno: an intelligent framework for recognizing pornographic web pages
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Recognizing pornographic images
Proceedings of the on Multimedia and security
Hi-index | 0.00 |
Content-based image classification has always been a hot research topic. This paper aims to propose an efficient image analysis algorithm using geometric features of skin regions to effectively classify images. First, a nonparametric skin color classifier is used to skin detection. Then, the contours of skin regions are constructed using a curve evolution method based on adaptive grids. Finally, the geometric features are extracted from the contours, and the cosine similarity measure is adopted for image classification. The algorithm is tested on a large database consisting of 6000 images. Experimental results illustrate the proposed method perform well in classifying skin images.