Welcome to MoST !

Modeling, querying and interactive visualization of spatiotemporal data

June 1, 2018   to   November 30, 2021

This project will develop an integrated set of general purpose data analysis tools to study the behaviour of spatiotemporal phenomena in a diversity of domains, such as, biology, medicine, environment, climate or earth sciences. This includes developing methods and tools to transform raw data from sequences of images and videos into meaningful data that can be modelled and represented in a database or information system, as well as efficient methods for querying, visualization and analysis of data about the location, movement and morphology of spatiotemporal phenomena. Two case studies will be used as proof of concept. The first consists of developing an application to model the propagation of forest fires from aerial images to be used in the study of carbon emissions to the atmosphere. The other consists of an application to represent and analyse the morphological behaviour of cells from video microscopy.

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TEAM

The institutions participating in this project are the Institute of Electronics and Informatics Engineering of Aveiro (IEETA) and the Research Group on Emissions, Modelling and Climate Change (GEMAC), both from the University of Aveiro, and the INESC TEC.

IEETA

José Moreira

faculty

Paulo Dias

faculty

José Duarte

phd student

Enrico Miranda

scholarship holder

Bruno Silva

scholarship holder

David Morais

scholarship holder

Rogério Costa

researcher

GEMAC

Ana Miranda

faculty

Sandra Sorte

phd student

Johnny Reis

phd student

Silvia Coelho

phd student

Ana Fernandes

researcher

 

 

 

 

INESC TEC

Alexandre Carvalho

faculty

Marco Oliveira

researcher

Edgar Carneiro

scholarship holder

 

 

 

 

 

 

 

 

Resources

Publications / Datasets / Presentations

  • Rogério Luís C. Costa, José Moreira (2022) Automatic quality improvement of data on the evolution of 2D regions. In Advanced Data Mining and Applications. Lecture Notes in Computer Science (LNCS), Springer, 288-300.
    Eletronic Edition (via DOI)

  • José Duarte and Mark McKenney (2021) Interpolating concavities. ACM SIGAPP Applied Computing Review (21):3 (September), 49–60.
    Eletronic Edition (via DOI)

  • Rogério Luís C. Costa, Enrico Miranda, Paulo Dias, José Moreira (2021) Quality Assessment and Improvement on a Forest Fire Dataset. ACM Journal on Data and Information Quality 13, 1, Article 5 (January 2021), 13 pages.
    Eletronic Edition (via DOI)

  • Rogério Luís C. Costa, José Moreira, Paulo Pintor, Verónica Santos, Sérgio Lifschitz (2021) A Survey on Data-driven Performance Tuning for Big Data Analytics Platforms. Big Data Research, Volume 25, 2021, 100206 (pre-release).
    Eletronic Edition (via DOI)

  • José Duarte, Mark McKenny (2021) An Algorithm to Interpolate Concavities. In Proceedings of the 36th ACM/SIGAPP Symposium On Applied Computing, pp 543–550.
    Eletronic Edition (via DOI)

  • Edgar Carneiro, Alexandre Carvalho, Marco Oliveira (2021) A Comparative Study on the Performance of the IB+ Tree and the I2B+ Tree. Journal of Information Systems Engineering and Management, (6):3, Article No 142, 10p.
    Eletronic Edition (via DOI)

  • José Duarte, Mark McKenny (2020) A Generator for 2D Moving Regions. In Procedding of the 28th International Conference in Geographical Information Systems, ACM SIG Spatial, Demo Paper, pp 159–162.
    Eletronic Edition (via DOI)

  • Rogério Luís C. Costa, Enrico Miranda, Paulo Dias, José Moreira (2020) Evaluating preprocessing and interpolation strategies to create moving regions from real-world observations. ACM SIGAPP Applied Computing Review 20, 2 (2020), pp 46-58.
    Eletronic Edition (via DOI) Dataset (low resolution video and WKT file) - SPT Data Lab - binaries and source code

  • José Duarte, Paulo Dias, José Moreira (2020) On the Evaluation and Comparison of Region Interpolation Methods. AGILE GIScience Ser., 1, 3.
    Eletronic Edition (via DOI)

  • Rogério Luís C. Costa, Enrico Miranda, Paulo Dias, José Moreira (2020) Sampling strategies to create moving regions from real world observations. The 35th ACM/SIGAPP Symposium On Applied Computing (ACM SAC 2020). pp 609-616.
    Eletronic Edition (via DOI) - Dataset (low resolution video and WKT file) - Presentation (pdf) - Video Presentation:

  • Edgar Carneiro, Alexandre Valle de Carvalho and Marco Amaro Oliveira (2020) I2B+tree: Interval B+ tree variant towards fast indexing of time-dependent data. In Proceedings of the 15th Iberian Conference on Information Systems and Technologies. pp. 1-7
    Eletronic Edition (via DOI)

  • Enrico Miranda, Rogério Luís C. Costa, Paulo Dias, José Moreira (2020) Matching-Aware Shape Simplification. 15th International Conference on Computer Graphics Theory and Applications (GRAPP 2020). pp. 279-286.
    Eletronic Edition (via DOI) - Presentation (pdf) - Source Code - The 216-Shape Database provided by Computer Vision@LEMS

  • Daniel Marques, Alexandre Carvalho, Rui Rodrigues, Edgar Carneiro (2020) Spatiotemporal Phenomena Summarization through Static Visual Narratives. In Proceedings of the 24th International Conference Information Visualisation (IV2020 Online), Victoria University, Melbourne, Australia and Technische Universität Wien, TU Wien, Vienna Austria, pp 7-11, September, IEEE, pp. 467-472..
    Eletronic Edition (via DOI) - Presentation (pdf) - Source Code - The 216-Shape Database provided by Computer Vision@LEMS

  • Rogério Luís C. Costa, Enrico Miranda, José Moreira (2020) Towards the automatic selection of moving regions representation methods Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (GeoSim), November 2020, pp. 60-63.
    Eletronic Edition (via DOI) - Presentation (pdf) - Source Code - The 216-Shape Database provided by Computer Vision@LEMS

  • José Duarte, Bruno Silva, José Moreira, Paulo Dias, Enrico Miranda, and Rogério L. C. Costa. 2019. Towards a qualitative analysis of interpolation methods for deformable moving regions. In Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL '19). ACM, New York, NY, USA, 592-595.
    Eletronic Edition (via DOI)- Datasets - Source Code - Video

  • José Moreira, José Duarte, Paulo Dias (2019) Modeling and Representing Real-World Spatio-Temporal Data in Databases. 14th International Conference on Spatial Information Theory (COSIT 2019): 6:1-6:14
    Eletronic Edition (via DOI)

  • José Duarte, Paulo Dias, José Moreira (2019) A Framework for the Management of Deformable Moving Objects. Geospatial Technologies for All - Selected Papers of the 21st {AGILE} Conference on Geographic Information Science. (LNGC): pp. 327-346
    Eletronic Edition (via DOI) - Presentation (pdf) / (ppsx)

  • José Duarte, Paulo Dias, José Moreira (2018) An Evaluation of Smoothing and Remeshing Techniques to Represent the Evolution of Real-World Phenomena. In Proceedings of the 13th International Symposium Advances in Visual Computing (ISVC). pp:57-67
    Eletronic Edition (via DOI)

    • Field experiments (videos)

  • First experiment (RGB)

  • Second experiment (RGB & thermographic)

  • Third experiment (RGB & thermographic)

    • Related websites

  • MoST@IEETA on github

  • MoST@INESCTEC on github

  • FireLab on github (not included in previous repositories)

    • Contacts

    For additional information, please send us an email to: jose DOT moreira AT ua DOT pt.

    Acknowledgements

    The development of this project was a challenge that, thanks to the effort, commitment and dedication of many, we believe we have successfully completed. We thank all the members of the institutions participating in this project, the consultants, the companies that collaborated with us, the students, the staff of FCT and Compete 2020, and all people who somehow collaborated with us in this project. .

    Alexandre Valle Carvalho (FEUP / INESCTEC). Ana Isabel Miranda (GEMAC, DAO, Universidade de Aveiro). Ana Patrícia Fernandes (GEMAC, DAO, Universidade de Aveiro). Ana Paula Silva (HUMANIZE, INESCTEC). Anabela Costa (FCT). António Fernandes (LEI, Universidade de Aveiro). António Salgueiro (AGIF). Bruno Silva (IEETA). Carlos Solorzano (University of Navarra). Carlos Xavier Viegas (ADAI, CEIF, Universidade de Coimbra). Cidália Lima (INESCTEC). Cristiano Vagos (MIECT, Universidade de Aveiro). Daniel Marques (MIEIC, FEUP). David Morais (IEETA / LEI, Universidade de Aveiro). Diego Trovisco (LEI, Universidade de Aveiro). Diogo Candeias (MEI, Universidade de Aveiro). Edgar Carneiro (MIEIC, FEUP). Florian Heinz (University of Hagen, OTH Regensburg). Francisca Barros (LEI, Universidade de Aveiro). Henrique Manso (LEI, Universidade de Aveiro). Isabel Martins (IEETA, Universidade de Aveiro). João Magalhães (LEI, Universidade de Aveiro). João Santos (LEI, Universidade de Aveiro). Johnny Reis (GEMAC, DAO, Universidade de Aveiro). José Duarte (IEETA). José Moreira (IEETA/Universidade de Aveiro). Luís Silva (LEI, Universidade de Aveiro). Luísa Sal (Reitoria, Universidade de Aveiro). Luís Mário Ribeiro (ADAI, CEIF, Universidade de Coimbra). Marco Amaro Oliveira (INESCTEC). Margarita Carlos (Reitoria, Universidade de Aveiro). Mariana Dias Gomes (INESCTEC). Mariana Ladeiro (LEI, Universidade de Aveiro). Mark McKenney (EdwardsVille, Southern Illinois University). Miguel Gomes (MIEIC, FEUP). Paulo Dias (IEETA/Universidade de Aveiro). Paulo Pintor (IEETA). Ralf Hartmut Güting (University of Hagen). Ricardo Anjos (AGIF). Rogério Costa (IEETA). Sandra Conchinha (FCT). Sandra Gonçalves (Compete 2020). Sandra Sorte (GEMAC, DAO, Universidade de Aveiro). Sílvia Coelho (GEMAC, DAO, Universidade de Aveiro). Sofia Ribeiro (IEETA, Universidade de Aveiro). Sónia Brandão (IEETA, Universidade de Aveiro). Vasco Marieiro (LEI, Universidade de Aveiro). Vera Fernandes (Reitoria, Universidade de Aveiro).

    THANK YOU !