VisualCommunity: a platform for archiving and studying communities

Suphanut Jamonnak; Deepshikha Bhati; Md Amiruzzaman; Ye Zhao; Xinyue Ye; Andrew Curtis

doi:10.1007/s42001-022-00170-y

VisualCommunity: a platform for archiving and studying communities

Suphanut Jamonnak, Deepshikha Bhati, Md Amiruzzaman, Ye Zhao, Xinyue Ye, Andrew Curtis

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	1257-1279
Number of pages	23
Journal	Journal of Computational Social Science
Volume	5
Issue number	2
DOIs	https://doi.org/10.1007/s42001-022-00170-y
State	Published - Nov 2022
Externally published	Yes

All Science Journal Classification (ASJC) codes

Transportation
Artificial Intelligence

Keywords

AI processing
Community study
Geo-narrative
Spatial video
Visualization system

Access to Document

10.1007/s42001-022-00170-y

Cite this

@article{b0b717b33859435292ad63b2790e9319,

title = "VisualCommunity: a platform for archiving and studying communities",

abstract = "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.",

keywords = "AI processing, Community study, Geo-narrative, Spatial video, Visualization system",

author = "Suphanut Jamonnak and Deepshikha Bhati and Md Amiruzzaman and Ye Zhao and Xinyue Ye and Andrew Curtis",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.",

year = "2022",

month = nov,

doi = "10.1007/s42001-022-00170-y",

language = "English (US)",

volume = "5",

pages = "1257--1279",

journal = "Journal of Computational Social Science",

issn = "2432-2717",

publisher = "Springer Nature",

number = "2",

}

TY - JOUR

T1 - VisualCommunity

T2 - a platform for archiving and studying communities

AU - Jamonnak, Suphanut

AU - Bhati, Deepshikha

AU - Amiruzzaman, Md

AU - Zhao, Ye

AU - Ye, Xinyue

AU - Curtis, Andrew

PY - 2022/11

Y1 - 2022/11

N2 - 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.

AB - 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.

KW - AI processing

KW - Community study

KW - Geo-narrative

KW - Spatial video

KW - Visualization system

UR - http://www.scopus.com/inward/record.url?scp=85130191440&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85130191440&partnerID=8YFLogxK

U2 - 10.1007/s42001-022-00170-y

DO - 10.1007/s42001-022-00170-y

M3 - Article

AN - SCOPUS:85130191440

SN - 2432-2717

VL - 5

SP - 1257

EP - 1279

JO - Journal of Computational Social Science

JF - Journal of Computational Social Science

IS - 2

ER -

VisualCommunity: a platform for archiving and studying communities

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this