Dancelets Mining for Video Recommendation Based on Dance Styles

@article{Han2017DanceletsMF,
  title={Dancelets Mining for Video Recommendation Based on Dance Styles},
  author={Tingting Han and Hongxun Yao and Chenliang Xu and Xiaoshuai Sun and Yanhao Zhang and Jason J. Corso},
  journal={IEEE Transactions on Multimedia},
  year={2017},
  volume={19},
  pages={712-724}
}
Dance is a unique and meaningful type of human expression, composed of abundant and various action elements. However, existing methods based on associated texts and spatial visual features have difficulty capturing the highly articulated motion patterns. To overcome this limitation, we propose to take advantage of the intrinsic motion information in dance videos to solve the video recommendation problem. We present a novel system that recommends dance videos based on a mid-level action… CONTINUE READING

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