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Summarization of User-Generated Sports Video by Using Deep Action Recognition Features

  • Published:2018-08 Issue:8 Volume:20 Page:2000-2011
  • ISSN:1520-9210
  • Container-title:IEEE Transactions on Multimedia
  • language:
  • Short-container-title:IEEE Trans. Multimedia

Author:

Tejero-de-Pablos AntonioORCID,Nakashima YutaORCID,Sato TomokazuORCID,Yokoya Naokazu,Linna Marko,Rahtu Esa

Funder

Japan Society for the Promotion of Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Cited by 67 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Edge Segmentation Applications to Design a Non-Destructive Recognition Algorithm for Continuous Actions in Martial Arts Videos;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

3. Personalized Video Summarization: A Comprehensive Survey of Methods and Datasets;Applied Sciences;2024-05-22

4. Action Recognition of Taekwondo Unit Actions Using Action Images Constructed with Time-Warped Motion Profiles;Sensors;2024-04-18

5. Multi-sensor fusion based optimized deep convolutional neural network for boxing punch activity recognition;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology;2024-03-13
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