Abstract
With the widespread use of social networks, sharing emotions has become easy and accessible to anyone with a smartphone or a computer. In this paper, we present a system capable of generating automatic highlight videos of sports match TV broadcasts based on the emotions shared by the spectators during the match, the audio, the analysis of the movement and manual annotations (when available). Our system also allows for the user to query the video to extract specific clips, such as dangerous attacking plays of a certain team. Our preliminary results were encouraging, showing that the creation of these summaries can be successfully done in very short time.
Original language | English |
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Title of host publication | Proceedings - 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016 |
Publisher | ACM - Association for Computing Machinery |
Volume | Part F125634 |
ISBN (Electronic) | 978-1-4503-4773-0 |
DOIs | |
Publication status | Published - 9 Nov 2016 |
Event | 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016 - Osaka, Japan Duration: 9 Nov 2016 → 12 Nov 2016 |
Conference
Conference | 13th International Conference on Advances in Computer Entertainment Technology, ACE 2016 |
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Country/Territory | Japan |
City | Osaka |
Period | 9/11/16 → 12/11/16 |
Keywords
- Emotion assessment
- Highlights
- Hybrid summarization technique
- Sports
- Video summarization