映像に付与されたコメントを用いた登場人物が注目されるシーンの推定  [in Japanese] Estimating the Spotlighted Scene of Characters Based on the Comments Posted to a Video  [in Japanese]

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Abstract

映像の編集や検索を行う際に,ある人物がより視聴者の注目を集めている映像を検索したいということはよくある.また,現在視聴している映像の関連映像として,登場人物の活躍パターンが似ている映像を推薦してほしいということもよくある.しかし,映像に登場する人物がどの程度視聴者の注目を集めているかは,映像のテキストデータや画像解析だけでは判断できないことが多く,視聴者の反応に基づいて注目されている人物を推定する必要がある.そこで本稿では視聴者の反応として映像の再生時刻に沿って付与されたコメントを用いて,映像に登場する人物が視聴者の注目を集めているシーンの推定と各シーンにおける各登場人物の活躍の度合いの推定を行う手法の提案をする.ただし,本稿ではニコニコ動画に投稿された映像の中で,コメントが一定数以上付与された映像に登場する,視聴者に名前が広く知れわたっている人物を対象とする.When a user edits or searches a video clip, he/she often hopes to extract a scene or search video clips in which a character is active. Moreover, he/she also often hopes to be recommended a video clip that has a similar activity pattern of characters as a relevant video clip that he/she is watching. However, it is difficult in many cases to judge the active characters from only text data or image analysis. We estimate the degree of attention based on viewers' reaction. In this paper we use comments posted to a video clip as the viewers' reaction. We propose a method to estimate the spotlighted scenes of each character in a video clip and the degree of it. We especially target video clips that is uploaded to Nico Nico Douga and a character whose name is known widely.

When a user edits or searches a video clip, he/she often hopes to extract a scene or search video clips in which a character is active. Moreover, he/she also often hopes to be recommended a video clip that has a similar activity pattern of characters as a relevant video clip that he/she is watching. However, it is difficult in many cases to judge the active characters from only text data or image analysis. We estimate the degree of attention based on viewers' reaction. In this paper we use comments posted to a video clip as the viewers' reaction. We propose a method to estimate the spotlighted scenes of each character in a video clip and the degree of it. We especially target video clips that is uploaded to Nico Nico Douga and a character whose name is known widely.

Journal

  • 情報処理学会論文誌

    情報処理学会論文誌 52(12), 3471-3482, 2011-12-15

Codes

  • NII Article ID (NAID)
    110008719924
  • NII NACSIS-CAT ID (NCID)
    AN00116647
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    1882-7764
  • Data Source
    NII-ELS  IPSJ 
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