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Contribution Details
| Type | Master's Thesis |
| Scope | Discipline-based scholarship |
| Title | Unveiling the Inner Structures of the Montreux Jazz Festival Concerts |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2022 |
| Abstract Text | The main goal of this work is to analyze the Montreux Jazz Festival video archive which was made accessible to the University of Zurich, Visualization and Multimedia Lab by ”Narratives from the long tail: Transforming access to audiovisual archives” project partners. The project has been funded by the Sinergia Grant of the Swiss National Foundation. Montreux Jazz Festival video archive dates back to 1967, keeps recordings of live performances of Montreux Jazz Festival, and is listed as a Memory of the World register by UNESCO. The problem that this thesis focuses on is the need for an online tool that will help music enthusiasts explore the archive and implement high-dimensional data analysis and visualization techniques to present different aspects of the existing recordings. The main proposed work is a web application with interactive visualizations to help the audience explore the Montreux Jazz Festival video archive. The web application is implemented by extending VIAN, a film analysis and visualization web application. To provide a high-dimensional data visualization tool, possible video and audio analysis methods were explored and a requirement analysis was performed to determine the important features. The selected features were extracted using neural networks, signal processing techniques, and audio analysis tools. A similarity metric was defined and implemented to compare different performance videos. Using this measure it is possible to see the outstanding songs which are significantly different than the others or to detect song clusters. To present the extracted data, attractive interactive visualizations were designed and implemented as a tool to analyze the visual and audio patterns of videos. Both an overview visualization and detailed performance analysis views are provided. The overview visualization presents the data clusters and similarities between different recordings and the detail view visualizes the extracted visual and audio features of a video. The final product is presented as multiple scripts to perform the feature extraction and the similarity analyses and a web application that includes interactive visualizations to help music enthusiasts explore the Montreux Jazz Festival archive. |
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