Affective music recommendation system reflecting the mood of input image

Shoto Sasaki, Tatsunori Hirai, Hayato Ohya, Shigeo Morishima

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

We present an affective music recommendation system using input images without textual information. Music that matches our current mood can create a deep impression. However, we do not know which music best matches our present mood. As it is difficult to select music manually, we need a recommendation system that can operate affectively. In this paper, we assume that there exists a relationship between our mood and images because visual information affects our mood when we listen to music. Our system matches an input image with music using valence-arousal plane which is an emotional plane.

本文言語English
ホスト出版物のタイトルProceedings - 2013 International Conference on Culture and Computing, Culture and Computing 2013
出版社IEEE Computer Society
ページ153-154
ページ数2
ISBN(印刷版)9780769550473
DOI
出版ステータスPublished - 2013 1月 1
イベント2013 International Conference on Culture and Computing, Culture and Computing 2013 - Kyoto, Japan
継続期間: 2013 9月 162013 9月 18

出版物シリーズ

名前Proceedings - 2013 International Conference on Culture and Computing, Culture and Computing 2013

Conference

Conference2013 International Conference on Culture and Computing, Culture and Computing 2013
国/地域Japan
CityKyoto
Period13/9/1613/9/18

ASJC Scopus subject areas

  • ソフトウェア

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