Interactive Webtool for Tempospatial Data and Visual Audio Analysis
Interactive Webtool for Tempospatial Data and Visual Audio Analysis
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2018
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IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC2 // Honorable Mention for Interactive Analytic Tool MC1)
Abstract
To solve VAST Mini Challenge 1, we build an interactive visualization tool that allows hypothesis testing and exploratory analysis of the data. The tool contains different visualizations for metadata and audio data analysis. To analyze the recorded bird calls, we trained a Gradient Boosting-classifier to distinguish different bird species. Our tool integrates these results and visualizes them in combination with additional data allowing the user to get context information and confirm the results.
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004 Computer Science
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IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC2), Oct 21, 2018 - Oct 26, 2018, Berlin
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BÄUMLE, Benedikt, Ina BOESECKE, Raphael BUCHMÜLLER, Yannick METZ, Juri F. BUCHMÜLLER, Eren CAKMAK, Wolfgang JENTNER, Daniel A. KEIM, 2018. Interactive Webtool for Tempospatial Data and Visual Audio Analysis. IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC2). Berlin, Oct 21, 2018 - Oct 26, 2018. In: IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC2 // Honorable Mention for Interactive Analytic Tool MC1)BibTex
@inproceedings{Baumle2018Inter-45037, year={2018}, title={Interactive Webtool for Tempospatial Data and Visual Audio Analysis}, url={https://scibib.dbvis.de/publications/view/792}, booktitle={IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC2 // Honorable Mention for Interactive Analytic Tool MC1)}, author={Bäumle, Benedikt and Boesecke, Ina and Buchmüller, Raphael and Metz, Yannick and Buchmüller, Juri F. and Cakmak, Eren and Jentner, Wolfgang and Keim, Daniel A.} }
RDF
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