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Temporal Aggregation of Video Shots in TV Sports News for Detection and Categorization of Player Scenes

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Computational Collective Intelligence. Technologies and Applications (ICCCI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8083))

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Abstract

A large amount of digital video data stored in Internet video collections, TV shows archives, video-on-demand systems, personal video archives offered by Internet services, etc. leads to the development of new methods and technologies of video indexing and retrieval. Content-based indexing of TV sports news is based on the automatic segmentation, then recognition and classification of scenes reporting the sports events. The automatic identification of sports disciplines in TV sports news will be less time consuming if the analysed video material is limited to player scenes. The shots detected can be grouped in scenes using a new proposed temporal aggregation method based on the length of the shot as a sufficient alone criterion. The tests have shown its good performance in detecting player scenes in TV sports news.

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Authors
  1. Kazimierz Choroś
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Editor information

Editors and Affiliations

  1. Computer and Information Technology Department, University of Craiova, Bvd. Decebal 107, 200440, Craiova, Romania

    Costin Bǎdicǎ

  2. Institute of Informatics, Wrocław University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

  3. Computer and Information Technology Department, University of Craiova, Bvd. Decebal 107, 200440, Craiova, Romania

    Marius Brezovan

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Choroś, K. (2013). Temporal Aggregation of Video Shots in TV Sports News for Detection and Categorization of Player Scenes. In: Bǎdicǎ, C., Nguyen, N.T., Brezovan, M. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2013. Lecture Notes in Computer Science(), vol 8083. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40495-5_49

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  • DOI: https://doi.org/10.1007/978-3-642-40495-5_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40494-8

  • Online ISBN: 978-3-642-40495-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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