ML Anthology

As Seen on TV: Automatic Basketball Video Production Using Gaussian-Based Actionness and Game States Recognition

Julian Quiroga, Henry Carrillo, Edisson Maldonado, John Ruiz, Luis M. Zapata
CVPRW 2020 pp. 3911-3920
doi:10.1109/CVPRW50498.2020.00455 /cvprw/2020/quiroga2020cvprw-seen/

Abstract

Automatic video production of sports aims at producing an aesthetic broadcast of sporting events. We present a new video system able to automatically produce a smooth and pleasant broadcast of Basketball games using a single fixed 4K camera. The system automatically detects and localizes players, ball and referees, to recognize main action coordinates and game states yielding to a professional cameraman-like production of the basketball event. We also release a fully annotated dataset consisting of single 4K camera and twelve-camera videos of basketball games.

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Cite

Text

Quiroga et al. "As Seen on TV: Automatic Basketball Video Production Using Gaussian-Based Actionness and Game States Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020. doi:10.1109/CVPRW50498.2020.00455

Markdown

[Quiroga et al. "As Seen on TV: Automatic Basketball Video Production Using Gaussian-Based Actionness and Game States Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2020.](https://mlanthology.org/cvprw/2020/quiroga2020cvprw-seen/) doi:10.1109/CVPRW50498.2020.00455

BibTeX

@inproceedings{quiroga2020cvprw-seen,
  title     = {{As Seen on TV: Automatic Basketball Video Production Using Gaussian-Based Actionness and Game States Recognition}},
  author    = {Quiroga, Julian and Carrillo, Henry and Maldonado, Edisson and Ruiz, John and Zapata, Luis M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2020},
  pages     = {3911-3920},
  doi       = {10.1109/CVPRW50498.2020.00455},
  url       = {https://mlanthology.org/cvprw/2020/quiroga2020cvprw-seen/}
}