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Texture Image: Combining visual elements as a new method to browse and discover music mood

Shiratuddin, M.F., Husain, A. and Wong, K.W. (2014) Texture Image: Combining visual elements as a new method to browse and discover music mood. In: 2nd International Virtual Conference on Advanced Scientific Results (SCIECONF-2014), 9 - 13 June, Zilina, Slovakia



Recently, there are many ways of browsing and discovering new music using some type of visual form that has been introduced in the field of Music Information Retrieval (MIR) such as album cover, avatar, colour and mood picture. However, there is no research focusing explicitly on visualising music genre using textures especially in mood category. To create new method of browsing music, we proposed a framework to visualise music mood using texture image. In this paper, we will present working progress which discusses the first stage of establishing the proposed framework and results from pilot study. We will present a review on the visual elements such as colours, colour values, lines and shapes and their ability to convey mood. Outcome from the review will be used in a survey that will be conducted to confirm which visual element has the ability to represent certain moods. Combination of these visual elements will then create a texture image which represent a particular mood and can be used as a new way to browse and discover music in mood category using visual form.

Item Type: Conference Paper
Murdoch Affiliation(s): School of Engineering and Information Technology
Conference Website:
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