• Geography, Computer Science
  • Published in MediaEval 2013

MediaEval 2013: Social Event Detection, Retrieval and Classification in Collaborative Photo Collections

@inproceedings{Brenner2013MediaEval2S,
  title={MediaEval 2013: Social Event Detection, Retrieval and Classification in Collaborative Photo Collections},
  author={Markus Brenner and Ebroul Izquierdo},
  booktitle={MediaEval},
  year={2013}
}
present a framework to detect social events, retrieve associated photos and classify the photos according to event types in collaborative photo collections as part of the MediaEval 2013 benchmarks. We incorporate various contextual cues using both a constraint-based clustering model and a classification model. Experiments based on the MediaEval Social Event Detection Dataset demonstrate the effectiveness of our approach. 

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  • 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2014
VIEW 3 EXCERPTS
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References

Publications referenced by this paper.
SHOWING 1-8 OF 8 REFERENCES

Social Event Detection at MediaEval 2013: Challenges, Datasets, and Evaluation

T. Reuter, S. Papadopoulos, +4 authors C. De Vries
  • MediaEval 2013 Workshop, 2013, pp. 2–3.
  • 2013
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Event-driven retrieval in collaborative photo collections

  • 2013 14th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)
  • 2013
VIEW 2 EXCERPTS