We address the problem of extracting semantics of tags ? short, unstructured text-labels assigned to resources on the Web ? based on each tag's metadata patterns. In particul...
Automatic image tagging is important yet challenging due to the semantic gap and the lack of learning examples to model a tag’s visual diversity. Meanwhile, social user tagging ...
A growing number of users in Web 2.0 based social network sites and photo sharing portals upload millions of images per day. In many cases, this leads to serious privacy threats. ...
Thorben Burghardt, Andreas Walter, Erik Buchmann, ...
We present a novel, yet simple algorithm for clustering large collections of digital images. The method is applicable to consumer digital photo libraries, where it can be used to o...
Most face recognition systems focus on photo-based face recognition. In this paper, we present a face recognition system based on face sketches. The proposed system contains two e...