Similarity graph: visual exploration of song collections

Jorge Henrique Piazentin Ono, Debora C. Correa, Martha D. Ferreira, Rodrigo Fernandes de Mello, Luis Gustavo Nonato

Research output: Chapter in Book/Conference paperConference paperpeer-review


Music collections are widely available on the Internet and, with the increasing storage and bandwidth capability, users can currently access thousands of songs, what brings challenges to music organization and exploration. Therefore,
there is a growing demand towards automated Music Information Retrieval (MIR) tools for organizing, retrieving and processing music data sets. Recent visualization systems have focused in showing music similarities using audio data and multidimensional projection. Nonetheless, they do not take into account similarities between parts of songs, that is, they compare pieces as a whole, neglecting the aspect that some of them have similarities only in small parts. This work proposes a novel methodology for users to visually explore music collections considering that the similarity can take place only in small parts of the song. Our approach uses MIR to find similar segments between pairs of audio files and a graph metaphor to display the detected similarities.
Original languageEnglish
Title of host publicationSIPGRAPI 2015: 28th Conference on Graphics, Patterns and Images
EditorsLuciano R. Oliveira, Antônio L. Apolinário Jr., Rubisley P. Lemes
Place of PublicationLos Alamitos, CA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Publication statusPublished - 2015
Externally publishedYes
EventSIBGRAPI 2015 - Conference on Graphics, Patterns and Images - Salvador, Brazil
Duration: 26 Aug 201529 Aug 2015


ConferenceSIBGRAPI 2015 - Conference on Graphics, Patterns and Images
Internet address


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  • Honorable Mention (paper)

    Piazentin, Jorge (Recipient), Correa, Debora (Recipient), Ferreira, Martha (Recipient), Mello, Rodrigo (Recipient) & Nonato, Luis (Recipient), 2015

    Prize: Award

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