Content and user-based music visual analysis

Xiaochun Guo; Lei Tang

doi:10.1117/12.2203545

3 December 2015 Content and user-based music visual analysis

Xiaochun Guo, Lei Tang

Proceedings Volume 9794, Sixth International Conference on Electronics and Information Engineering; 97942P (2015) https://doi.org/10.1117/12.2203545
Event: Sixth International Conference on Electronics and Information Engineering, 2015, Dalian, China

Abstract

In recent years, people's ability to collect music got enhanced greatly. Many people who prefer listening music offline even stored thousands of music on their local storage or portable device. However, their ability to deal with music information has not been improved accordingly, which results in two problems. One is how to find out the favourite songs from large music dataset and satisfy different individuals. The other one is how to compose a play list quickly. To solve these problems, the authors proposed a content and user-based music visual analysis approach. We first developed a new recommendation algorithm based on the content of music and user's behaviour, which satisfy individual's preference. Then, we make use of visualization and interaction tools to illustrate the relationship between songs and help people compose a suitable play list. At the end of this paper, a survey is mentioned to show that our system is available and effective.

Citation Download Citation

Xiaochun Guo and Lei Tang "Content and user-based music visual analysis", Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97942P (3 December 2015); https://doi.org/10.1117/12.2203545

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