A Note on Network Analysis Based Detection of Important Player and Similar Scenes in Soccer Videos

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  • TAKAHASHI Sho
    Graduate School of Information Science and Technology, Hokkaido University
  • HASEYAMA Miki
    Graduate School of Information Science and Technology, Hokkaido University

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Other Title
  • ネットワーク解析を用いたサッカー映像における重要選手と類似場面の検出に関する一考察(スポーツ映像解析,および一般)
  • ネットワーク解析を用いたサッカー映像における重要選手と類似場面の検出に関する一考察
  • ネットワーク カイセキ オ モチイタ サッカー エイゾウ ニ オケル ジュウヨウ センシュ ト ルイジ バメン ノ ケンシュツ ニ カンスル イチ コウサツ

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Description

This paper proposes a link analysis-based method for detecting important players and similar scenes in soccer videos. We define important players as follows: 1) the attacking player who have great relevancy to a score, 2) the defending player on the opposing team, and 3) players who assist the above players. Since soccer tactic analysis focuses not only on player skill but also relationships between players, this paper expresses the relationships between players as a network, which is constructed from player positions in the soccer video. The proposed method analyses the constructed network to detect important players and similar scenes.

Journal

  • ITE Technical Report

    ITE Technical Report 38.51 (0), 1-4, 2014

    The Institute of Image Information and Television Engineers

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