Image Time Series Classification based on a Planar Spatio-temporal Data Representation

Authors :: Nicole Vincent
Camille Kurtz
Mohamed Chelali
Anne Puissant
Laboratoire d'Informatique Paris Descartes (LIPADE (URP_2517))
Université de Paris (UP)
Laboratoire Image, Ville, Environnement [Strasbourg] (LIVE)
Université de Strasbourg (UNISTRA)
Source :: 15th International Conference on Computer Vision Theory and Applications, 15th International Conference on Computer Vision Theory and Applications, Feb 2020, Valletta, France. pp.276-283, ⟨10.5220/0008949202760283⟩, Scopus-Elsevier, VISIGRAPP (4: VISAPP)
Publication Year :: 2020
Publisher :: HAL CCSD, 2020.
Abstract: International audience

Subjects :: Time series classification
business.industry
Computer science
Representation (systemics)
[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]
020207 software engineering
Pattern recognition
02 engineering and technology
[INFO.INFO-NE]Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]
Image (mathematics)
Temporal database
Planar
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
business
ComputingMilieux_MISCELLANEOUS

Language :: English
Database :: OpenAIRE
Journal :: 15th International Conference on Computer Vision Theory and Applications, 15th International Conference on Computer Vision Theory and Applications, Feb 2020, Valletta, France. pp.276-283, ⟨10.5220/0008949202760283⟩, Scopus-Elsevier, VISIGRAPP (4: VISAPP)
Accession number :: edsair.doi.dedup.....2a1dac91191be94c6721dedfcaf296f6
Full Text :: https://doi.org/10.5220/0008949202760283⟩

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