Face Detection in Color Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical color models with application to skin detection
International Journal of Computer Vision
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Locating Facial Region of a Head-and-Shoulders Color Image
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Robust Real-Time Face Detection
International Journal of Computer Vision
Skin Segmentation Using Color Pixel Classification: Analysis and Comparison
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of skin-color modeling and detection methods
Pattern Recognition
Naked image detection based on adaptive and extensible skin color model
Pattern Recognition
I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
An adaptive multiple model approach for fast content-based skin detection in on-line videos
AREA '08 Proceedings of the 1st ACM workshop on Analysis and retrieval of events/actions and workflows in video streams
Universal seed skin segmentation
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Color based skin classification
Pattern Recognition Letters
Systematic skin segmentation: merging spatial and non-spatial data
Multimedia Tools and Applications
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User generated video content has become increasingly popular, with a large number of internet video sharing portals appearing. Many portals wish to rapidly find and remove objectionable material from the uploaded videos. This paper considers the flagging of uploaded videos as potentially objectionable due to sexual content of an adult nature. Such videos are often characterized by the presence of a large amount of skin, although other scenes, such as close-ups of faces, also satisfy this criterion. The main contribution of this paper is to introduce to this task two uses of contextual information in the form of detected faces. The first is to use a combination of different face detectors to adjust the parameters of the skin detection model. The second is through the summarization of a video in the form of a path in a skin-face plot. This plot allows potentially objectionable segments of videos to be found, while ignoring segments containing close-ups of faces. The proposed approach runs in real-time. Experiments are done on per pixel annotated and challenging on-line videos from an on-line service provider to prove our approach. Large scale experiments are carried out on 200 popular public video clips from web platforms. These are chosen from the community (top-rated) and cover a large variety of different skin-colors, illuminations, image quality and difficulty levels. We find a compact and reliable representation for videos to flag suspicious content efficiently.