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False and Miss Detections in Temporal Segmentation of TV Sports News Videos – Causes and Remedies

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Book cover New Research in Multimedia and Internet Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 314))

Abstract

Categorization of sports videos, i.e. the automatic recognition of sports disciplines in videos, mainly in TV sports news, is one of the most important process in content-based video indexing. It may be achieved using different strategies such as player scenes analyses leading to the detection of playing fields, recognition of superimposed text like player or team names, identification of player faces, detection of lines typical for a given playing field and for a given sports discipline, detection of sports objects specific for a given sports category, and also recognition of player and audience emotions. The sports video indexing usually starts with the automatic temporal segmentation. Unfortunately, it could happen that two or even more consecutive shots of two different sports events, although most frequently of the same sport discipline, are falsely identified as one shot. The strong similarity mainly of color of playing fields does not sometimes allow the detection of a video transition. On the other hand, very short shots of several frames are detected in case of dissolve effects or they are simply false detections. Most often it is due to very dynamic movements of players or a camera during the game, changes in advertising banners on playing fields, as well as due to light flashes. False as well as miss detections diminish the efficacy of the temporal aggregation method applied to video indexing. The chapter examines the cases of false and miss detections in temporal segmentation of TV sports news videos observed in the Automatic Video Indexer AVI. The causes and remedies of false and miss detections are discussed.

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Authors and Affiliations

  1. Institute of Informatics, Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Kazimierz Choroś

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  1. Kazimierz Choroś
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Correspondence to Kazimierz Choroś .

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Editors and Affiliations

  1. Division of Information Systems, Wroclaw University of Technology Institute of Informatics, Wrocław, Poland

    Aleksander Zgrzywa

  2. Division of Information Systems Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Kazimierz Choroś

  3. Division of Information Systems Institute of Informatics, Wroclaw University of Technology, Wrocław, Poland

    Andrzej Siemiński

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Choroś, K. (2015). False and Miss Detections in Temporal Segmentation of TV Sports News Videos – Causes and Remedies. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) New Research in Multimedia and Internet Systems. Advances in Intelligent Systems and Computing, vol 314. Springer, Cham. https://doi.org/10.1007/978-3-319-10383-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-10383-9_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10382-2

  • Online ISBN: 978-3-319-10383-9

  • eBook Packages: EngineeringEngineering (R0)

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