STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal. STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models. In Simone Santini, Andrew H. Sung, editors, Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2022, Lisbon, Portugal, July 14-16, 2022. pages 48-58, SCITEPRESS, 2022. [doi]

@inproceedings{BaniyaLEA22,
  title = {STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models},
  author = {Arbind Agrahari Baniya and Tsz-Kwan Lee and Peter W. Eklund and Sunil Aryal},
  year = {2022},
  doi = {10.5220/0011339900003289},
  url = {https://doi.org/10.5220/0011339900003289},
  researchr = {https://researchr.org/publication/BaniyaLEA22},
  cites = {0},
  citedby = {0},
  pages = {48-58},
  booktitle = {Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, SIGMAP 2022, Lisbon, Portugal, July 14-16, 2022},
  editor = {Simone Santini and Andrew H. Sung},
  publisher = {SCITEPRESS},
  isbn = {978-989-758-591-3},
}