Abstract
We propose a method for detecting biased-highlights in a broadcast sports video according to viewers’ attributes obtained from a large number of tweets. Recently, Twitter is widely used to make real-time play-by-play comments on TV programs, especially on sports games. This trend enables us to effectively acquire the viewers’ interests in a large mass. In order to make use of such tweets for highlight detection in broadcast sports video, the proposed method first performs an attribute analysis on the set of tweets issued by each user to classify which team he/she supports. It then detects biased-highlights by referring to the number of tweets made by viewers with a specific attribute.
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References
Nack, F., Ide, I.: Why did the Prime Minister resign? —generation of event explanation from large news repositories—. In: Proc. Nineteenth ACM Int. Conf. on Multimedia, pp. 313–322 (2011)
Chang, Y.L., Zeng, W., Kamel, I., Alonso, R.: Integrated image and speech analysis for content-based video indexing. In: Proc. Int. Conf. on IEEE Multimedia Computing and Systems 1996, pp. 306–313 (1996)
Miura, K., Hamada, R., Ide, I., Sakai, S., Tanaka, H.: Motion based automatic abstraction of cooking videos. In: Proc. ACM Multimedia 2002 Workshop on Multimedia Information Retrieval, pp. 21–29 (2002)
Miyamori, H., Nakamura, S., Tanaka, K.: Generation of views of TV content using TV viewers’ perspectives expressed in live chats on the web. In: Proc. Thirteenth ACM Int. Conf. on Multimedia, pp. 853–861 (2005)
Shamma, D.A., Kennedy, L., Churchill, E.F.: Tweetgeist: Can the twitter timeline reveal the structure of broadcast events? In: Proc. 2010 ACM Conf. on Computer Supported Cooperative Work, pp. 589–594 (2010)
Hannon, J., McCarthy, K., Lynch, J., Smyth, B.: Personalized and automatic social summarization of events in video. In: Proc. Fifteenth Int. Conf. on Intelligent User Interfaces, pp. 335–338 (2011)
Chakrabarti, D., Punera, K.: Event summarization using tweets. In: Proc. Fifth Int. AAAI Conf. on Weblogs and Social Media, p. 154 (2011)
Turney, P.D.: Thumbs up? Thumbs down? Semantic orientation applied to unsupervised classification of reviews. In: Proc. 40th Annual Meeting of the Association for Computational Linguistics, pp. 417–424 (2002)
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Kobayashi, T., Takahashi, T., Deguchi, D., Ide, I., Murase, H. (2013). Detection of Biased Broadcast Sports Video Highlights by Attribute-Based Tweets Analysis. In: Li, S., et al. Advances in Multimedia Modeling. Lecture Notes in Computer Science, vol 7733. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35728-2_35
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DOI: https://doi.org/10.1007/978-3-642-35728-2_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35727-5
Online ISBN: 978-3-642-35728-2
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