Abstract
Content-based video analysis is still a very intensively developed area of research in computer science. One of the most frequent purpose of content-based analysis is a video summarization. A basketball game coverage usually lasts for around two hours whereas the game itself is less than one hour. The basketball video can be modeled as a sequence of plays being defined as the segments when an important action occurs interleaved with breaks which can be ignored in video summarizing or highlight detection automatic processes. The paper proposes a method a basketball game segmentation into plays and breaks. The proposed method is based on the analysis of the slope of the basketball top court boundary. The tests performed in the AVI Indexer showed that the analysis of the slope of the playing field leads to the correct detection of more than 85% of play and break segments.
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Choroś, K., Paruszkiewicz, K. (2019). Automatic Detection of Play and Break Segments in Basketball Videos Based on the Analysis of the Slope of the Basketball Court Boundary. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_55
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