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Generating Semantic Descriptions of Broadcasted Sports Videos Based on Structures of Sports Games and TV Programs

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Abstract

This paper presents a model to represent a broadcasted sports video in a semantic way and proposes a method of automatically generating semantic descriptions of significant scenes. Representation of a video should clarify the semantic content of the video as accurately as possible. Our model structurizes the video and specifies suitable semantic descriptions for video segments paying attention to the structure of both a sports game and a sports TV program. As the elements of these semantic descriptions, the proposed method tries to obtain the information about the plays and their related players from the closed-caption stream by searching key phrases. Finding the corresponding segments of the video by means of template matching for the image stream attaches these textual descriptions to the proper portion of the video. In this paper, we discuss some experimental results of our method and the potentiality for integrating these results into the standardized MPEG-7 description tools.

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Authors and Affiliations

  1. Department of Communication Engineering, Osaka University, 2-1 Yamada-Oka, Suita, Osaka, 565-0871, Japan.

    Naoko Nitta & Noboru Babaguchi

  2. Department of Informatics, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyogo, 669-1337, Japan.

    Tadahiro Kitahashi

Authors
  1. Naoko Nitta
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  2. Noboru Babaguchi
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  3. Tadahiro Kitahashi
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Nitta, N., Babaguchi, N. & Kitahashi, T. Generating Semantic Descriptions of Broadcasted Sports Videos Based on Structures of Sports Games and TV Programs. Multimedia Tools and Applications 25, 59–83 (2005). https://doi.org/10.1023/B:MTAP.0000046382.62218.e1

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  • DOI: https://doi.org/10.1023/B:MTAP.0000046382.62218.e1

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