Supervised Clustering of Social Media Streams

In this paper we present our approach for the Social Event Detection Task 1 of the MediaEval 2013. We address the problem of event detection and clustering by learning a distance measure between two images in a supervised way. Then, we apply a variant of the Quality Threshold clustering to detect events and assign the images accordingly. We can show that the performance measures do not decrease for an increasing number of documents and report the results achieved for the challenge.