Unsupervised Clustering of Social Events
Abstract
This paper describes our contribution to the social event detection (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 excellent generalization ability and state-of-the-art clustering performance.
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- Zeppelzauer, Matthias
- Zaharieva, Maia
- Del Fabro, Manfred
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Shortfacts
Category |
Paper in Conference Proceedings or in Workshop Proceedings (Paper) |
Event Title |
MediaEval 2013 Workshop |
Divisions |
Multimedia Information Systems |
Event Location |
Barcelona, Spain |
Event Type |
Workshop |
Event Dates |
October 18-19, 2013 |
Publisher |
CEUR-WS.org |
Date |
2013 |
Official URL |
http://ceur-ws.org/Vol-1043/ |
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