Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Live sports event detection based on broadcast video and web-casting text
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Personalized and automatic social summarization of events in video
Proceedings of the 16th international conference on Intelligent user interfaces
Twitinfo: aggregating and visualizing microblogs for event exploration
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Video summarization via crowdsourcing
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Video summarization based on user interaction
Proceddings of the 9th international interactive conference on Interactive television
Personalized abstraction of broadcasted American football video by highlight selection
IEEE Transactions on Multimedia
Crowd vs. crowd: large-scale cooperative design through open team competition
Proceedings of the 2013 conference on Computer supported cooperative work
Lowering the barriers to large-scale mobile crowdsensing
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
Scalable crowd-sourcing of video from mobile devices
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Crowdsourcing as a method for indexing digital media
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Assessing internet video quality using crowdsourcing
Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia
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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.