SportLight: statistically principled crowdsourcing method for sports highlight selection
Author:
Funder
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s42952-021-00128-2.pdf
Reference34 articles.
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2. Assfalg, J., Bertini, M., Del Bimbo, A., Nunziati, W., & Pala, P. (2002). Soccer highlights detection and recognition using HMMs. In Proc. 2002 IEEE international conference on multimedia and expo (ICME’02) (Vol. 1, pp. 825–828). IEEE.
3. Babaguchi, N., Kawai, Y., Ogura, T., & Kitahashi, T. (2004). Personalized abstraction of broadcasted American football video by highlight selection. IEEE Transactions on Multimedia, 6(4), 575–586.
4. Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57, 289–300.
5. Bernstein, M.S., Little, G., Miller, R.C., Hartmann, B., Ackerman, M.S., Karger, D.R., Crowell, D., & Panovich, K. (2010). Soylent: A word processor with a crowd inside. In Proceedings of the 23nd annual ACM symposium on User interface software and technology (pp. 313–322). ACM.
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