GeoVisuals: a visual analytics approach to leverage the potential of spatial videos and associated geonarratives |
| |
| Authors: | Suphanut Jamonnak Shamal Al-Dohuki Xinyue Ye Farah Kamw |
| |
| Institution: | 1. Department of Population and Quantitative Health Sciences, Kent , OH, USA;2. Department of Population and Quantitative Health Sciences, Kent , OH, USA;3. Department of Computer Science, University of Duhok , Dahuk, Iraq  https://orcid.org/0000-0003-1054-3538;4. Department of Informatics, New Jersey Institute of Technology , Newark, NJ, USA;5. Department of Computer Science, Concordia University Ann Arbor , Ann Arbor, MI, USA |
| |
| Abstract: | ABSTRACT Videos embedded with spatial coordinates, especially when combined with additional expert insights, offer the potential to acquire fine-scale multi-time period contextualized data for a variety of different environments. However, while these geospatial multimedia (GSMM) data include abundant spatiotemporal, semantic and visual information, the means to fully leverage their potential using a suite of visual and interactive analysis techniques and tools has thus far been lacking. In this paper, we address this gap by first identifying the types of tasks required of GSMM data, and then presenting a solution platform. This GeoVisuals system utilizes a visual analysis approach built on semantic data points that can be integrated spatially, which in turn enables management in a unified database with combined spatio-temporal and text querying. A set of visualization functions are integrated in two investigation modes: geo-video analysis and geo-location analysis. |
| |
| Keywords: | Geospatial videos geonarratives visual analytics |
|
|
![ORCID Icon]({"type":"image","src":"/templates/jsp/images/orcid.png"} "ORCID Icon")
https://orcid.org/0000-0003-1054-3538;4. Department of Informatics, New Jersey Institute of Technology , Newark, NJ, USA;5. Department of Computer Science, Concordia University Ann Arbor , Ann Arbor, MI, USA