TVSum: Summarizing web videos using titles

@article{Song2015TVSumSW,
  title={TVSum: Summarizing web videos using titles},
  author={Yale Song and Jordi Vallmitjana and Amanda Stent and Alejandro Jaimes},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2015},
  pages={5179-5187}
}
Video summarization is a challenging problem in part because knowing which part of a video is important requires prior knowledge about its main topic. We present TVSum, an unsupervised video summarization framework that uses title-based image search results to find visually important shots. We observe that a video title is often carefully chosen to be maximally descriptive of its main topic, and hence images related to the title can serve as a proxy for important visual concepts of the main… CONTINUE READING

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