The use of MMR, diversity-based reranking for reordering documents and producing summaries
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Making large-scale support vector machine learning practical
Advances in kernel methods
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Mining the Web: Discovering Knowledge from HyperText Data
Mining the Web: Discovering Knowledge from HyperText Data
Tracking and Segmenting People in Varying Lighting Conditions Using Colour
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Robust Real-Time Face Detection
International Journal of Computer Vision
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Information revelation and privacy in online social networks
Proceedings of the 2005 ACM workshop on Privacy in the electronic society
Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Novelty and diversity in information retrieval evaluation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Privacy-Aware Collaborative Access Control in Web-Based Social Networks
Proceeedings of the 22nd annual IFIP WG 11.3 working conference on Data and Applications Security
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
An axiomatic approach for result diversification
Proceedings of the 18th international conference on World wide web
Collective privacy management in social networks
Proceedings of the 18th international conference on World wide web
Ranking and classifying attractiveness of photos in folksonomies
Proceedings of the 18th international conference on World wide web
Evidence of quality of textual features on the web 2.0
Proceedings of the 18th ACM conference on Information and knowledge management
A Novel Method for Efficient Indoor---Outdoor Image Classification
Journal of Signal Processing Systems
Personalized photograph ranking and selection system
Proceedings of the international conference on Multimedia
PicAlert!: a system for privacy-aware image classification and retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
SnapMe if you can: privacy threats of other peoples' geo-tagged media and what we can do about it
Proceedings of the sixth ACM conference on Security and privacy in wireless and mobile networks
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Modern content sharing environments such as Flickr or YouTube contain a large amount of private resources such as photos showing weddings, family holidays, and private parties. These resources can be of a highly sensitive nature, disclosing many details of the users' private sphere. In order to support users in making privacy decisions in the context of image sharing and to provide them with a better overview on privacy related visual content available on the Web, we propose techniques to automatically detect private images, and to enable privacy-oriented image search. To this end, we learn privacy classifiers trained on a large set of manually assessed Flickr photos, combining textual metadata of images with a variety of visual features. We employ the resulting classification models for specifically searching for private photos, and for diversifying query results to provide users with a better coverage of private and public content. Large-scale classification experiments reveal insights into the predictive performance of different visual and textual features, and a user evaluation of query result rankings demonstrates the viability of our approach.