Abstract
Automatic detection of videos with outstanding situations is a practical issue that needs to be studied in many events of different fields with common length and frequency of occurrence for instance: meetings, musicals, sports events that the user uploads regularly, one of the concerned areas is the highlights in football videos. The matches of the annual top leagues and between nations within federations form a huge database in need of different purposes in which requires the specific model assisting in extracting outstanding situations. Besides, building a reliable and accurate model requires an appropriate approach, a large amount of training data (diverse, accurate, clear data), which need to be assigned label correspondingly. The Convolutional Neural Network (CNN) was chosen as an approach to help building a smart system as a foundation, combined with a proposed new method for synthesizing results called the adaptive threshold towards specific data, along with the optimization model to draw a reliable conclusion. The work was proceeded on a video data set of the top four teams of the English Premier League (ELP) 2018–2019 and a randomly selected dataset on the Internet.
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Acknowledgment
This project would not be posible without the financial means from Sai Gon International University (SIU). Many thanks to my specialist Mr. Nguyen Vo Thuan Thanh, major in Physical Education, for providing expert advice and labeling the dataset. And finally, thanks to numerous friends who endured this process with me, offering me lots of support and effort.
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Le, T.H.V., Van, H.T., Tran, H.S., Nguyen, P.K., Nguyen, T.T., Le, T.H. (2021). Applying Convolutional Neural Network for Detecting Highlight Football Events. In: Cong Vinh, P., Rakib, A. (eds) Context-Aware Systems and Applications. ICCASA 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 409. Springer, Cham. https://doi.org/10.1007/978-3-030-93179-7_23
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