視聴者の時刻同期コメントを用いた楽曲動画の印象分類  [in Japanese] Using Viewers' Time-synchronized Comments for Mood Classification of Music Video Clips  [in Japanese]

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Abstract

本稿では,印象に基づく楽曲検索実現のために,動画共有サイト上に投稿された楽曲動画を,可愛らしい,切ない,元気がでるといった印象に分類する手法を提案する.楽曲動画の印象分類のため,ユーザの投稿した時刻同期コメントに着目し,単語の品詞,文字の繰返し構造,楽曲のサビ区間の3つを利用する.実験では1,314本の楽曲動画を7印象クラスに分類し,提案手法がF値のマクロ平均で0.659を達成しベースライン手法よりも高い精度を得た.また,楽曲の歌詞や音響特徴量を用いた分類手法とも比較し,提案手法の有効性を示した.This paper proposes a method to classify music video clips, which are uploaded to the video sharing service, into the mood categories such as "cute," "sorrow" and "cheerful." The method leverages viewers' time-synchronized comments posted to video clips to classify the video clips into moods. It extracts features from the comments in the terms of (1) parts-of-speech, (2) lengthened words and (3) chorus parts of the music. Our experimental results showed that out method achieved the best classification performance (Macro F-measure of 0.659) compared with some baselines. In addition, our method outperformed the conventional approaches that utilize lyrics and audio features of musics.

Journal

  • 情報処理学会論文誌データベース(TOD)

    情報処理学会論文誌データベース(TOD) 6(3), 61-72, 2013-06-28

Codes

  • NII Article ID (NAID)
    110009579666
  • NII NACSIS-CAT ID (NCID)
    AA11464847
  • Text Lang
    JPN
  • Article Type
    Article
  • ISSN
    1882-7799
  • Data Source
    NII-ELS  IPSJ 
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