An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with socio-demographic variables

This study presents a framework to study quantitatively geographical visual diversities of urban neighborhood from a large collection of street-view images using an Artificial Intelligence (AI)-based image segmentation technique. A variety of diversity indices are computed from the extracted visual...

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Detalles Bibliográficos
Autores principales: Amiruzzaman, Md, Zhao, Ye, Amiruzzaman, Stefanie, Karpinski, Aryn C., Wu, Tsung Heng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795947/
https://www.ncbi.nlm.nih.gov/pubmed/36593882
http://dx.doi.org/10.1007/s42001-022-00197-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795947/
https://www.ncbi.nlm.nih.gov/pubmed/36593882
http://dx.doi.org/10.1007/s42001-022-00197-1

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