#EpicPlay: crowd-sourcing sports video highlights

Anthony Tang and Sebastian Boring. (2012). #EpicPlay: crowd-sourcing sports video highlights. In CHI ’12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, 1569–1572. Acceptance: 23.4% - 369/1577.

Abstract

During a live sports event, many sports fans use social media as a part of their viewing experience, reporting on their thoughts on the event as it unfolds. In this work, we use this information stream to semantically annotate live broadcast sports games, using these annotations to select video highlights from the game. We demonstrate that this approach can be used to select highlights specific for fans of each team, and that these clips reflect the emotions of a fan during a game. Further, we describe how these clips differ from those seen on nightly sportscasts.

Materials

PDF File (http://hcitang.org/papers/2012-chi2012-epicplay.pdf)
DOI (http://doi.acm.org/10.1145/2207676.2208622)

Keywords

Crowd-sourcing; Video summarization; Sports; Twitter; Microblogging; Broadcast sports; Video annotation.

BibTeX

@inproceedings{tang2012epicplay,
  acceptance = {23.4{\%} - 369/1577},
  address = {New York, NY, USA},
  author = {Tang, Anthony and Boring, Sebastian},
  booktitle = {CHI '12: Proceedings of the SIGCHI Conference on Human Factors in
      Computing Systems},
  date-modified = {2014-01-11 06:50:16 +0000},
  doi = {http://doi.acm.org/10.1145/2207676.2208622},
  isbn = {978-1-4503-1015-4},
  keywords = {Crowd-sourcing; Video summarization; Sports; Twitter; Microblogging;
      Broadcast sports; Video annotation.},
  location = {Austin, Texas, USA},
  pages = {1569--1572},
  pdfurl = {http://hcitang.org/papers/2012-chi2012-epicplay.pdf},
  publisher = {ACM},
  title = {\#EpicPlay: crowd-sourcing sports video highlights},
  type = {conference},
  year = {2012},
  bdsk-url-1 = {http://doi.acm.org/10.1145/2207676.2208622}
}