Multi-modal summarization of key events and top players in sports tournament videos
Paper
Paper/Presentation Title | Multi-modal summarization of key events and top players in sports tournament videos |
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Presentation Type | Paper |
Authors | Tjondronegoro, Dian (Author), Tao, Xiaohui (Author), Sasongko, Johannes (Author) and Lau, Cher Han (Author) |
Journal or Proceedings Title | Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011) |
ERA Conference ID | 43064 |
Number of Pages | 8 |
Year | 2011 |
Place of Publication | Piscataway, NJ. United States |
ISBN | 9781424494972 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/WACV.2011.5711541 |
Web Address (URL) of Paper | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5711541 |
Conference/Event | IEEE Workshop on Applications of Computer Vision (WACV 2011) |
IEEE Workshop on Applications of Computer Vision | |
Event Details | IEEE Workshop on Applications of Computer Vision WACV Rank A A A A A A A A A A A A A A A A A |
Event Details | IEEE Workshop on Applications of Computer Vision (WACV 2011) Event Date 05 to end of 07 Jan 2011 Event Location Kona, United States |
Abstract | To detect and annotate the key events of live sports videos, we need to tackle the semantic gaps of audio-visual information. Previous work has successfully extracted semantic from the time-stamped web match reports, which are synchronized with the video contents. However, web and social media articles with no time-stamps have not been fully leveraged, despite they are increasingly used to complement the coverage of major sporting tournaments. This paper aims to address this limitation using a novel multimodal summarization framework that is based on sentiment analysis and players' popularity. It uses audiovisual contents, web articles, blogs, and commentators' speech to automatically annotate and visualize the key events and key players in a sports tournament coverage. The experimental results demonstrate that the automatically generated video summaries are aligned with the events identified from the official website match reports. |
Keywords | video; data generation; visualisation; pattern recognition; sporting events |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
460304. Computer vision | |
460702. Computer graphics | |
Public Notes | © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Byline Affiliations | Queensland University of Technology |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1013/multi-modal-summarization-of-key-events-and-top-players-in-sports-tournament-videos
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