Using CoMIRVA for Visualizing Similarities Between Music Artists

Markus Schedl; Gerhard Widmer; Peter Knees

Using CoMIRVA for Visualizing Similarities Between Music Artists

Markus Schedl, Gerhard Widmer, Peter Knees

Institute of Computational Perception

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

This paper presents our framework for music information retrieval and visualization (CoMIRVA). We focus on the functions for visualizing similarities between music artists or songs and describe some approaches we have already implemented. In particular, we present a novel three-dimensional visualization technique based on a geographic model, the very simple "Circled Bars" visualization which could be used for example for mobile devices, and a graphbased visualization approach for prototypical artists.

Original language	English
Title of host publication	Proceedings of the 16th IEEE Visualization Conference (Vis 2005), Minneapolis, MN
Number of pages	2
Publication status	Published - 2005

Fields of science

102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102015 Information systems
202002 Audiovisual media

Cite this

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title = "Using CoMIRVA for Visualizing Similarities Between Music Artists",

abstract = "This paper presents our framework for music information retrieval and visualization (CoMIRVA). We focus on the functions for visualizing similarities between music artists or songs and describe some approaches we have already implemented. In particular, we present a novel three-dimensional visualization technique based on a geographic model, the very simple {"}Circled Bars{"} visualization which could be used for example for mobile devices, and a graphbased visualization approach for prototypical artists.",

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