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Proceedings Paper

Content and user-based music visual analysis
Author(s): Xiaochun Guo; Lei Tang
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Paper 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.

Paper Details

Date Published: 3 December 2015
PDF: 6 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97942P (3 December 2015); doi: 10.1117/12.2203545
Show Author Affiliations
Xiaochun Guo, Taishan Univ. (China)
Lei Tang, Shandong Univ. (China)


Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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