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VisualCommunity: a platform for archiving and studying communities

VisualCommunity is a platform designed to support community or neighborhood scale research. The platform integrates mobile, AI, visualization techniques, along with tools to help domain researchers, practitioners, and students collecting and working with spatialized video and geo-narratives. These d...

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Detalles Bibliográficos
Autores principales: Jamonnak, Suphanut, Bhati, Deepshikha, Amiruzzaman, Md, Zhao, Ye, Ye, Xinyue, Curtis, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109455/
https://www.ncbi.nlm.nih.gov/pubmed/35602668
http://dx.doi.org/10.1007/s42001-022-00170-y
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author Jamonnak, Suphanut
Bhati, Deepshikha
Amiruzzaman, Md
Zhao, Ye
Ye, Xinyue
Curtis, Andrew
author_facet Jamonnak, Suphanut
Bhati, Deepshikha
Amiruzzaman, Md
Zhao, Ye
Ye, Xinyue
Curtis, Andrew
author_sort Jamonnak, Suphanut
collection PubMed
description VisualCommunity is a platform designed to support community or neighborhood scale research. The platform integrates mobile, AI, visualization techniques, along with tools to help domain researchers, practitioners, and students collecting and working with spatialized video and geo-narratives. These data, which provide granular spatialized imagery and associated context gained through expert commentary have previously provided value in understanding various community-scale challenges. This paper further enhances this work AI-based image processing and speech transcription tools available in VisualCommunity, allowing for the easy exploration of the acquired semantic and visual information about the area under investigation. In this paper we describe the specific advances through use case examples including COVID-19 related scenarios.
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spelling pubmed-91094552022-05-16 VisualCommunity: a platform for archiving and studying communities Jamonnak, Suphanut Bhati, Deepshikha Amiruzzaman, Md Zhao, Ye Ye, Xinyue Curtis, Andrew J Comput Soc Sci Research Article VisualCommunity is a platform designed to support community or neighborhood scale research. The platform integrates mobile, AI, visualization techniques, along with tools to help domain researchers, practitioners, and students collecting and working with spatialized video and geo-narratives. These data, which provide granular spatialized imagery and associated context gained through expert commentary have previously provided value in understanding various community-scale challenges. This paper further enhances this work AI-based image processing and speech transcription tools available in VisualCommunity, allowing for the easy exploration of the acquired semantic and visual information about the area under investigation. In this paper we describe the specific advances through use case examples including COVID-19 related scenarios. Springer Nature Singapore 2022-05-16 2022 /pmc/articles/PMC9109455/ /pubmed/35602668 http://dx.doi.org/10.1007/s42001-022-00170-y Text en © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Jamonnak, Suphanut
Bhati, Deepshikha
Amiruzzaman, Md
Zhao, Ye
Ye, Xinyue
Curtis, Andrew
VisualCommunity: a platform for archiving and studying communities
title VisualCommunity: a platform for archiving and studying communities
title_full VisualCommunity: a platform for archiving and studying communities
title_fullStr VisualCommunity: a platform for archiving and studying communities
title_full_unstemmed VisualCommunity: a platform for archiving and studying communities
title_short VisualCommunity: a platform for archiving and studying communities
title_sort visualcommunity: a platform for archiving and studying communities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9109455/
https://www.ncbi.nlm.nih.gov/pubmed/35602668
http://dx.doi.org/10.1007/s42001-022-00170-y
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