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International Conference on Multimedia Modeling

MMM 2019: MultiMedia Modeling pp 377–389Cite as

Soccer Video Event Detection Based on Deep Learning

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11296))

Abstract

Automatically identifying the most interesting content in a long video remains a challenging task. Event detection is an important aspect of soccer game research. In this paper, we propose a model that is able to detect events in long soccer games with a single pass through the video. Combined with replay detection, we generate story clips, which contain more complete temporal context, meeting audiences’ needs. We also introduce a soccer game dataset that contains 222 broadcast soccer videos, totaling 170 video hours. The dataset covers three annotation types: (1) shot annotations (type and boundary), (2) event annotations (with 11 event labels), and (3) story annotations (with 15 story labels). Finally, we report the performance of the proposed model for soccer events and story analysis.

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Acknowledgments

We gratefully acknowledge the granted financial support from the National Natural Science Foundation of China (No. 61572211, 61173114, 61202300).

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Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Junqing Yu, Aiping Lei & Yangliu Hu

  2. Center of Network and Computation, Huazhong University of Science and Technology, Wuhan, 430074, China

    Junqing Yu

Authors
  1. Junqing Yu
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  2. Aiping Lei
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  3. Yangliu Hu
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Corresponding author

Correspondence to Junqing Yu .

Editor information

Editors and Affiliations

  1. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Ioannis Kompatsiaris

  2. EURECOM, Sophia Antipolis, France

    Benoit Huet

  3. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Vasileios Mezaris

  4. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  5. National Chiao Tung University, Hsinchu, Taiwan

    Wen-Huang Cheng

  6. Information Technologies Institute, Centre for Research and Technology Hellas, Thessaloniki, Greece

    Stefanos Vrochidis

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Yu, J., Lei, A., Hu, Y. (2019). Soccer Video Event Detection Based on Deep Learning. In: Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, WH., Vrochidis, S. (eds) MultiMedia Modeling. MMM 2019. Lecture Notes in Computer Science(), vol 11296. Springer, Cham. https://doi.org/10.1007/978-3-030-05716-9_31

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  • DOI: https://doi.org/10.1007/978-3-030-05716-9_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05715-2

  • Online ISBN: 978-3-030-05716-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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