This paper describes our contribution to the social event de- tection (SED) task of the MediaEval Benchmark 2013. We present a robust unsupervised approach for the clustering of tagged photos and videos into social events. Results on the SED datasets show that the proposed approach yields an ex- cellent generalization ability and state-of-the-art clustering performance.
M. Zeppelzauer, M. Zaharieva, M. Del Fabro: "Unsupervised Clustering of Social Events"; in: "CEUR Workshop Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop", issued by: http://ceur-ws.org/Vol-1043/; CEUR-WS.org, 2013, ISSN: 1613-0073, 2 pages.
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