Title :
Lyrics-based automatic music image generation using scene knowledge for music browsing
Author :
Kikuchi, Go ; Kasai, Hiroyuki
Author_Institution :
Univ. of Electro-Commun., Chofu, Japan
Abstract :
Visual information of music makes users to understand it rapidly, and is very useful for a fast and efficient music browsing. In this paper, we propose an automatic music image generation that extracts features from lyrics such as an event and a place using the probabilistic parametric mixture model and the scene composition knowledge.
Keywords :
feature extraction; music; feature extraction; lyrics-based automatic music image generation; music browsing; music visual information; probabilistic parametric mixture model; scene composition knowledge; Data mining; Feature extraction; Image generation; Mood; Probabilistic logic; Proposals; Visualization;
Conference_Titel :
Consumer Electronics (ICCE), 2012 IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-0230-3
DOI :
10.1109/ICCE.2012.6161851