Visual Analysis of Multi-Labelled Temporal Noise Data from Multiple Sensors

Juan José Franco, Pere-Pau Vázquez

2023

Abstract

Environmental noise pollution is a problem for cities’ inhabitants, that can be especially severe in large cities. To implement measures that can alleviate this problem, it is necessary to understand the extent and impact of different noise sources. Although gathering data is relatively cheap, processing and analyzing the data is still complex. Besides the lack of an automatic method for labelling city sounds, maybe more important is the fact that there is not a tool that allows domain experts to analytically explore data that has been manually labelled. To solve this problem, we have created a visual analytics application that facilitates the exploration of multiple-labelled temporal data captured at four different corners of a crossing in a populated area of Barcelona, the Eixample neighborhood. Our tool consists of a series of linked interactive views that facilitate top-down (from noise events to labels) and bottom-up (from labels to time slots) exploration of the captured data.

Paper Citation

in Harvard Style

Franco J. and Vázquez P. (2023). Visual Analysis of Multi-Labelled Temporal Noise Data from Multiple Sensors. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 3: IVAPP; ISBN 978-989-758-634-7, SciTePress, pages 256-267. DOI: 10.5220/0011895300003417

in Bibtex Style

@conference{ivapp23,
author={Juan José Franco and Pere-Pau Vázquez},
title={Visual Analysis of Multi-Labelled Temporal Noise Data from Multiple Sensors},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 3: IVAPP},
year={2023},
pages={256-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011895300003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 3: IVAPP
TI - Visual Analysis of Multi-Labelled Temporal Noise Data from Multiple Sensors
SN - 978-989-758-634-7
AU - Franco J.
AU - Vázquez P.
PY - 2023
SP - 256
EP - 267
DO - 10.5220/0011895300003417
PB - SciTePress