A Preliminary Model for the Design of Music Visualizations
Swaroop Panda, Shatarupa Thakurta Roy

TL;DR
This paper introduces a preliminary conceptual model for designing music visualizations, based on visualization stimulus and data property, to aid understanding and creation of visual representations of music data.
Contribution
It proposes a novel model for music visualization design using two conceptual pivots, enhancing the framework for creating and analyzing visualizations.
Findings
Model effectively deconstructs existing visualizations
Facilitates design of new music visualizations
Provides a foundation for future research and application
Abstract
Music Visualization is basically the transformation of data from the aural to the visual space. There are a variety of music visualizations, across applications, present on the web. Models of Visualization include conceptual frameworks helpful for designing, understanding and making sense of visualizations. In this paper, we propose a preliminary model for Music Visualization. We build the model by using two conceptual pivots, Visualization Stimulus and Data Property. To demonstrate the utility of the model we deconstruct and design visualizations with toy examples using the model and finally conclude by proposing further applications of and future work on our proposed model.
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Taxonomy
TopicsMusic and Audio Processing · Data Visualization and Analytics · Video Analysis and Summarization
