Tjondronegoro, Dian and Tao, Xiaohui and Sasongko, Johannes and Lau, Cher Han (2011) Multi-modal summarization of key events and top players in sports tournament videos. In: WACV 2011: IEEE Workshop on Applications of Computer Vision , 5-7 Jan 2011, Kona, HI, USA.
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Identification Number or DOI: doi: 10.1109/WACV.2011.5711541
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.
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)|
|Additional Information:||Permanent restricted access to published version due to publisher copyright policy. © 2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from IEEE.|
|Uncontrolled Keywords:||video; data generation; visualisation; pattern recognition; sporting events|
|Fields of Research (FOR2008):||08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining|
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080103 Computer Graphics
|Socio-Economic Objective (SEO2008):||E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences|
|Deposited On:||29 May 2012 16:26|
|Last Modified:||02 Aug 2012 09:48|
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