Improving event detection using related videos and relevance degree support vector machines

@inproceedings{Tzelepis2013ImprovingED,
  title={Improving event detection using related videos and relevance degree support vector machines},
  author={Christos Tzelepis and Nikolaos Gkalelis and Vasileios Mezaris and Yiannis Kompatsiaris},
  booktitle={ACM Multimedia},
  year={2013}
}
In this paper, a new method that exploits related videos for the problem of event detection is proposed, where related videos are videos that are closely but not fully associated with the event of interest. In particular, the Weighted Margin SVM formulation is modified so that related class observations can be effectively incorporated in the optimization problem. The resulting Relevance Degree SVM is especially useful in problems where only a limited number of training observations is provided… CONTINUE READING

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