A proposed framework for visualising music mood using texture image

Fairly recently, extensive use of digital music has led to an increase of songs in online music applications and personal music libraries. In large libraries, songs which are not listened to regularly will go unnoticed. There are many ways of browsing and discovering new music. In the field of Music Information Retrieval (MIR), some type of visual form such as colour, avatar, mood picture and album cover to visualise music, have been introduced. In this paper, we propose a framework for visualising music mood using texture images to assist listeners in discovering new songs and artists that might not have been discovered otherwise using conventional means.