VISFF: An Approach for Video Summarization Based on Feature Fusion

Weidong Tian, Xiao-yu Cheng, Bin He, Zhong-Qiu Zhao. VISFF: An Approach for Video Summarization Based on Feature Fusion. In De-Shuang Huang, Kang-Hyun Jo, JianQiang Li, Valeriya V. Gribova, Abir Hussain, editors, Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part II. Volume 12837 of Lecture Notes in Computer Science, pages 42-53, Springer, 2021. [doi]

@inproceedings{TianCHZ21,
  title = {VISFF: An Approach for Video Summarization Based on Feature Fusion},
  author = {Weidong Tian and Xiao-yu Cheng and Bin He and Zhong-Qiu Zhao},
  year = {2021},
  doi = {10.1007/978-3-030-84529-2_4},
  url = {https://doi.org/10.1007/978-3-030-84529-2_4},
  researchr = {https://researchr.org/publication/TianCHZ21},
  cites = {0},
  citedby = {0},
  pages = {42-53},
  booktitle = {Intelligent Computing Theories and Application - 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part II},
  editor = {De-Shuang Huang and Kang-Hyun Jo and JianQiang Li and Valeriya V. Gribova and Abir Hussain},
  volume = {12837},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-84529-2},
}