#EpicPlay
- 5 May 2012
- proceedings article
- Published by Association for Computing Machinery (ACM)
- p. 1569-1572
- https://doi.org/10.1145/2207676.2208622
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.Keywords
This publication has 7 references indexed in Scilit:
- Video summarization based on user interactionPublished by Association for Computing Machinery (ACM) ,2011
- TwitinfoPublished by Association for Computing Machinery (ACM) ,2011
- Video summarization via crowdsourcingPublished by Association for Computing Machinery (ACM) ,2011
- Personalized and automatic social summarization of events in videoPublished by Association for Computing Machinery (ACM) ,2011
- Live sports event detection based on broadcast video and web-casting textPublished by Association for Computing Machinery (ACM) ,2006
- Personalized abstraction of broadcasted American football video by highlight selectionIEEE Transactions on Multimedia, 2004
- Automatic detection of 'Goal' segments in basketball videosPublished by Association for Computing Machinery (ACM) ,2001