@inproceedings{0dffcb8a46b440379e822b7063754e3c,
title = "Affective music recommendation system reflecting the mood of input image",
abstract = "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.",
keywords = "Arousal, Image processing, Images and sounds, Music recommendation, Valence",
author = "Shoto Sasaki and Tatsunori Hirai and Hayato Ohya and Shigeo Morishima",
year = "2013",
month = jan,
day = "1",
doi = "10.1109/CultureComputing.2013.42",
language = "English",
isbn = "9780769550473",
series = "Proceedings - 2013 International Conference on Culture and Computing, Culture and Computing 2013",
publisher = "IEEE Computer Society",
pages = "153--154",
booktitle = "Proceedings - 2013 International Conference on Culture and Computing, Culture and Computing 2013",
note = "2013 International Conference on Culture and Computing, Culture and Computing 2013 ; Conference date: 16-09-2013 Through 18-09-2013",
}