dc.contributor.author	Miller, Matthias	en_US
dc.contributor.author	Rauscher, Julius	en_US
dc.contributor.author	Keim, Daniel A.	en_US
dc.contributor.author	El-Assady, Mennatallah	en_US
dc.contributor.editor	Borgo, Rita	en_US
dc.contributor.editor	Marai, G. Elisabeta	en_US
dc.contributor.editor	Schreck, Tobias	en_US
dc.date.accessioned	2022-06-03T06:06:12Z
dc.date.available	2022-06-03T06:06:12Z
dc.date.issued	2022
dc.description.abstract	Manually investigating sheet music collections is challenging for music analysts due to the magnitude and complexity of underlying features, structures, and contextual information. However, applying sophisticated algorithmic methods would require advanced technical expertise that analysts do not necessarily have. Bridging this gap, we contribute CorpusVis, an interactive visual workspace, enabling scalable and multi-faceted analysis. Our proposed visual analytics dashboard provides access to computational methods, generating varying perspectives on the same data. The proposed application uses metadata including composers, type, epoch, and low-level features, such as pitch, melody, and rhythm. To evaluate our approach, we conducted a pair-analytics study with nine participants. The qualitative results show that CorpusVis supports users in performing exploratory and confirmatory analysis, leading them to new insights and findings. In addition, based on three exemplary workflows, we demonstrate how to apply our approach to different tasks, such as exploring musical features or comparing composers.	en_US
dc.description.number	3
dc.description.sectionheaders	Text and Music
dc.description.seriesinformation	Computer Graphics Forum
dc.description.volume	41
dc.identifier.doi	10.1111/cgf.14540
dc.identifier.issn	1467-8659
dc.identifier.pages	283-294
dc.identifier.pages	12 pages
dc.identifier.uri	https://doi.org/10.1111/cgf.14540
dc.identifier.uri	https://diglib.eg.org:443/handle/10.1111/cgf14540
dc.publisher	The Eurographics Association and John Wiley & Sons Ltd.	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by-nc/4.0/
dc.subject	CCS Concepts: Human-centered computing --> Visualization techniques; Visual analytics; Visualization systems and tools; Information systems --> Content analysis and feature selection; Document structure
dc.subject	Human centered computing
dc.subject	Visualization techniques
dc.subject	Visual analytics
dc.subject	Visualization systems and tools
dc.subject	Information systems
dc.subject	Content analysis and feature selection
dc.subject	Document structure
dc.title	CorpusVis: Visual Analysis of Digital Sheet Music Collections	en_US

CorpusVis: Visual Analysis of Digital Sheet Music Collections

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