Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
Automatic Detection of Human Nudes
International Journal of Computer Vision - 1998 Marr Prize
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical clustering of WWW image search results using visual, textual and link information
Proceedings of the 12th annual ACM international conference on Multimedia
Detecting pornographic video content by combining image features with motion information
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Graph regularization methods for Web spam detection
Machine Learning
Knowing funny: genre perception and categorization in social video sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bilinear deep learning for image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Improving video classification via youtube video co-watch data
SBNMA '11 Proceedings of the 2011 ACM workshop on Social and behavioural networked media access
Exploiting socially-generated side information in dimensionality reduction
Proceedings of the 2nd international workshop on Socially-aware multimedia
| Hi-index | 0.00 |
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of the web graph: a web page related to a given category is normally linked to other pages describing related objects. Our approach combines information from the webgraph structure with semi-supervised learning from all the unlabeled images to create a superior image-classification model for multimedia data. We show that fusing image, text and web-graph features gives a 12% improvement (in the area under the ROC curve) over content features alone in an adult image-classification experiment.