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.
| Original language | English |
|---|---|
| Pages | 1-6 |
| Number of pages | 6 |
| Publication status | Published - 19 Apr 2021 |
| Externally published | Yes |
| Event | 2021 IEEE 14th Pacific Visualization Symposium (PacificVis) - Tianjin, China Duration: 19 Apr 2021 → 21 Apr 2021 |
Conference
| Conference | 2021 IEEE 14th Pacific Visualization Symposium (PacificVis) |
|---|---|
| Country/Territory | China |
| City | Tianjin |
| Period | 19/04/21 → 21/04/21 |
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