CorpusVis: Visual Analysis of Digital Sheet Music Collections
| Autor: | Matthias Miller, Julius Rauscher, Daniel A. Keim, Mennatallah El‐Assady |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
FOS: Computer and information sciences
H.3 Computer Science - Human-Computer Interaction Information systems → Content analysis and feature selection [ccs] J.5 Computer Graphics and Computer-Aided Design E.0 D.m Document structure [ccs] Human-Computer Interaction (cs.HC) Computer Science - Information Retrieval Visual analytics Visualization systems and tools [ccs] ddc:004 Human-centered computing → Visualization techniques [ccs] Information Retrieval (cs.IR) |
| Popis: | 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. 12 pages, 9 figures, Computer Graphics Forum 2022, EuroVis Conference (Full Papers) |
| Databáze: | OpenAIRE |
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