Visualization of similarities in song data sets

Author(s)

Jorge Henrique Piazentin Ono

• Document type: Master's Dissertation
• Press: São Carlos.
• Institution: Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB)
• Defense date: 2015-06-30

Examining board members

Luis Gustavo Nonato; Carla Maria Dal Sasso Freitas; Afonso Paiva Neto

• Advisor: Luis Gustavo Nonato

Abstract

Music collections are widely available on the internet and, leveraged by the increasing storage and bandwidth capability, users can currently access a multitude of songs. This leads to a growing demand towards automated methods for organizing, retrieving and processing music data. Information visualization is a research area that allows the analysis of large data sets, thus, it is a valuable tool for the exploration of music libraries. In this thesis, methodologies for the development of two music visualization techniques are proposed. The first, Similarity Graph, enables the exploration of data sets in terms of hierarchical similarities. The second, Concentric RadViz, represents the data in terms of classification tasks and enables the user to alter the visualization according to his interests. Both techniques are able to reveal interesting structures in the data, favoring its understanding and exploration. (AU)

• FAPESP's process: 12/24801-0 - Visualization and Exploration of Music Data Sets
• Grantee: Jorge Henrique Piazentin Ono
• Support Opportunities: Scholarships in Brazil - Master