Interactive Classification Using Spectrograms and Audio Glyphs
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IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC1). 2018
Zusammenfassung
The VAST Challenge 2018 aims to clarify the situation of the Rose- Crested Blue Pipit’s population in the Boonsong Lekagul Wildlife Preserve. We propose an interactive spectrogram and a representative novel audio glyph to support the classification of bird calls. The second visualization of our system helps to identify spatio-temporal patterns of bird species in the preserve. Using the system, we are able to solve the Mini Challenge 1 (MC1) tasks to classify claimed pipit calls and detect multiple spatio-temporal migratory patterns in the preserve. We find evidence that the pipit population is declining, but we can not identify any clear evidence that the accused company is responsible for the decrease of the pipit population.
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IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC1), 21. Okt. 2018 - 26. Okt. 2018, Berlin
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CAKMAK, Eren, Udo SCHLEGEL, Matthias MILLER, Juri F. BUCHMÜLLER, Wolfgang JENTNER, Daniel A. KEIM, 2018. Interactive Classification Using Spectrograms and Audio Glyphs. IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC1). Berlin, 21. Okt. 2018 - 26. Okt. 2018. In: IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC1). 2018BibTex
@inproceedings{Cakmak2018Inter-45036,
year={2018},
title={Interactive Classification Using Spectrograms and Audio Glyphs},
url={https://scibib.dbvis.de/publications/view/793},
booktitle={IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2018 MC1)},
author={Cakmak, Eren and Schlegel, Udo and Miller, Matthias and Buchmüller, Juri F. and Jentner, Wolfgang and Keim, Daniel A.}
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