Weakly Supervised Summarization of Web Videos

@article{Panda2017WeaklySS,
  title={Weakly Supervised Summarization of Web Videos},
  author={Rameswar Panda and Abir Das and Ziyan Wu and Jan Ernst and Amit K. Roy-Chowdhury},
  journal={2017 IEEE International Conference on Computer Vision (ICCV)},
  year={2017},
  pages={3677-3686}
}
Most of the prior works summarize videos by either exploring different heuristically designed criteria in an unsupervised way or developing fully supervised algorithms by leveraging human-crafted training data in form of video-summary pairs or importance annotations. However, unsupervised methods are blind to the video category and often fail to produce semantically meaningful video summaries. On the other hand, acquisition of large amount of training data in supervised approaches is non… CONTINUE READING
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