A work initially developed by Daniel Marques as its Master Thesis in Informatics and Computing Engineering @FEUP.
The SpatioTemporal Visual Storyteller (STVS) is a novel approach based on automated generation of interactive storyboards that summarize the evolution of a spatiotemporal phenomenon through a set of frames that represent the most relevant changes across all events of interest. The figures below depict an example of a spatiotemporal phenomenon visualized using the STVS.
| Storyboard example | Settings example |
|---|---|
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To run the application make sure you have docker and docker-compose installed.
- Clone the repository
git clone https://github.com/rendoir/STVS.git
cd STVS/src/-
Run the application
- For deployment
docker-compose up
- For development
docker-compose -f docker-compose.dev.yml up
-
Open your browser
- In deployment
http://127.0.0.1:8080/visualization/1/- In development
http://127.0.0.1:8080/
Important Note: Tested and working on both Google Chrome and Mozilla Firefox.
For a guide on how to extend STVS (e.g., supporting a new transformation), an overview of the codebase or a description of the application entry points, please refer to this document.
A more thorough description of the STVS is available at Chapter 4 and 5 of the associated Master Thesis.
The author thank ERDF – European Regional Development Fund through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 Programme and by National Funds through the Portuguese funding agency, FCT – Fundac¸ ˜ao para a Ciˆencia e a Tecnologia within project PTDC/CCI-INF/32636/2017 (POCI-01-0145-FEDER-032636).
Marques, D., Carvalho, A., Rodrigues, R., Carneiro, E., Spatiotemporal Phenomena Summarization through Static Visual Narratives, 24th International Conference Information Visualisation (IV2020 Online), Victoria University, Melbourne, Australia and Technische Universität Wien, TU Wien, Vienna Austria, 7-11, September 2020, DOI: https://doi.org/10.1109/IV51561.2020.00081