DocumentCode
652027
Title
Affective Music Recommendation System Reflecting the Mood of Input Image
Author
Sasaki, Seishi ; Hirai, Toshiya ; Ohya, Hayato ; Morishima, Satoru
Author_Institution
Waseda Univ., Tokyo, Japan
fYear
2013
fDate
16-18 Sept. 2013
Firstpage
153
Lastpage
154
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
image processing; music; recommender systems; affective music recommendation system; deep impression; emotional plane; valence-arousal plane; Databases; Equations; Image color analysis; Mood; Music; Recommender systems; arousal; image processing; images and sounds; music recommendation; valence;
fLanguage
English
Publisher
ieee
Conference_Titel
Culture and Computing (Culture Computing), 2013 International Conference on
Conference_Location
Kyoto
Type
conf
DOI
10.1109/CultureComputing.2013.42
Filename
6680355
Link To Document