Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Event Detection and Summarization in Sports Video
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Video summarization based on user log enhanced link analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Using twitter to recommend real-time topical news
Proceedings of the third ACM conference on Recommender systems
Soccer video summarization using enhanced logo detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Recommending twitter users to follow using content and collaborative filtering approaches
Proceedings of the fourth ACM conference on Recommender systems
On the real-time web as a source of recommendation knowledge
Proceedings of the fourth ACM conference on Recommender systems
SportsAnno: what do you think?
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Summarizing sporting events using twitter
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
#EpicPlay: crowd-sourcing sports video highlights
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 3rd ACM conference on International conference on multimedia retrieval
Timelines as summaries of popular scheduled events
Proceedings of the 22nd international conference on World Wide Web companion
Multicamera video summarization and anomaly detection from activity motifs
ACM Transactions on Sensor Networks (TOSN)
| Hi-index | 0.00 |
Social services like Twitter are increasingly used to provide a conversational backdrop to real-world events in real-time. Sporting events are a good example of this and this year, millions of users tweeted their comments as they watched the World Cup matches from around the world. In this paper, we look at using these time-stamped opinions as the basis for generating video highlights for these soccer matches. We introduce the PASSEV system and describe and evaluate two basic summarization approaches.