@article{oai:ipsj.ixsq.nii.ac.jp:00092749,
 author = {山本, 岳洋 and 中村, 聡史 and Takehiro, Yamamoto and Satoshi, Nakamura},
 issue = {3},
 journal = {情報処理学会論文誌データベース（TOD）},
 month = {Jun},
 note = {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.},
 pages = {61--72},
 title = {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},
 volume = {6},
 year = {2013}
}