Making large-scale support vector machine learning practical
Advances in kernel methods
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Privacy-aware image classification and search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Photo publishing in Social Networks and other Web2.0 applications has become very popular due to the pervasive availability of cheap digital cameras, powerful batch upload tools and a huge amount of storage space. A portion of uploaded images are of a highly sensitive nature, disclosing many details of the users' private life. We have developed a web service which can detect private images within a user's photo stream and provide support in making privacy decisions in the sharing context. In addition, we present a privacy-oriented image search application which automatically identifies potentially sensitive images in the result set and separates them from the remaining pictures.