VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events

@inproceedings{Habibian2014VideoStoryAN,
  title={VideoStory: A New Multimedia Embedding for Few-Example Recognition and Translation of Events},
  author={AmirHossein Habibian and Thomas Mensink and Cees G. M. Snoek},
  booktitle={ACM Multimedia},
  year={2014}
}
This paper proposes a new video representation for few-example event recognition and translation. Different from existing representations, which rely on either low-level features, or pre-specified attributes, we propose to learn an embedding from videos and their descriptions. In our embedding, which we call VideoStory, correlated term labels are combined if their combination improves the video classifier prediction. Our proposed algorithm prevents the combination of correlated terms which are… CONTINUE READING

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