Understanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping

Kailash is one of the most important sacred landscape in Trans-Himalayan region and worshiped by multiple nations and religions. The visual construction of this sacred landscape is a complex process of cultural practice, and even in the era of Internet and big data, the burgeoning photo sharing webs...

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Autores principales:	Yucheng Zhang, Jie He
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Computer vision Kailash Sacred Landscape Landscape image UCG geo-tagged photos Viewshed analysis Visual content analysis Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/4f32ec9c345b4a068d4e7171f3726c8e
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id	oai:doaj.org-article:4f32ec9c345b4a068d4e7171f3726c8e
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spelling	oai:doaj.org-article:4f32ec9c345b4a068d4e7171f3726c8e2021-11-20T05:15:40ZUnderstanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping2667-010010.1016/j.envc.2021.100360https://doaj.org/article/4f32ec9c345b4a068d4e7171f3726c8e2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2667010021003346https://doaj.org/toc/2667-0100Kailash is one of the most important sacred landscape in Trans-Himalayan region and worshiped by multiple nations and religions. The visual construction of this sacred landscape is a complex process of cultural practice, and even in the era of Internet and big data, the burgeoning photo sharing websites, social media have further influenced people's gaze and imagination of Kailash. The research paper focuses on people's visual perception of Kailash Sacred Landscape and proposed a hypothesis that the images of Kailash become a product of viewer's selection of iconic symbols from landscape and then be reconstructed through visual media. The research mainly includes two parts. The first part focuses on the GIS spatial analysis of the complex visual landscape of Kailash. Viewshed analysis reveals the visual prominence of Kailash in the whole region, and also the change in people's visual perception of this mountain during the kora trek. The second part focuses on of the geo-tagged photos collected form social media. Visual content analysis based on computer vision is adopted to recognize items from collected photos. Most visual elements can be integrated into a higher-level set of 8 visual elements. According to the ratio of each element, hierarchical clustering is adopted to describe the similarity between each photo. The dendrogram of clustering result shows all the photos can be generally divided into 9 groups, which reflects different paradigms of people's visual expression of Kailash. In conclusion, this research reveals how Kailash is represented through filtered images in a web-based context. Also, it explores and extends the applications of GIS and AI technology in cultural landscape research.Yucheng ZhangJie HeElsevierarticleComputer visionKailash Sacred LandscapeLandscape imageUCG geo-tagged photosViewshed analysisVisual content analysisEnvironmental sciencesGE1-350ENEnvironmental Challenges, Vol 5, Iss , Pp 100360- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Computer vision Kailash Sacred Landscape Landscape image UCG geo-tagged photos Viewshed analysis Visual content analysis Environmental sciences GE1-350
spellingShingle	Computer vision Kailash Sacred Landscape Landscape image UCG geo-tagged photos Viewshed analysis Visual content analysis Environmental sciences GE1-350 Yucheng Zhang Jie He Understanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping
description	Kailash is one of the most important sacred landscape in Trans-Himalayan region and worshiped by multiple nations and religions. The visual construction of this sacred landscape is a complex process of cultural practice, and even in the era of Internet and big data, the burgeoning photo sharing websites, social media have further influenced people's gaze and imagination of Kailash. The research paper focuses on people's visual perception of Kailash Sacred Landscape and proposed a hypothesis that the images of Kailash become a product of viewer's selection of iconic symbols from landscape and then be reconstructed through visual media. The research mainly includes two parts. The first part focuses on the GIS spatial analysis of the complex visual landscape of Kailash. Viewshed analysis reveals the visual prominence of Kailash in the whole region, and also the change in people's visual perception of this mountain during the kora trek. The second part focuses on of the geo-tagged photos collected form social media. Visual content analysis based on computer vision is adopted to recognize items from collected photos. Most visual elements can be integrated into a higher-level set of 8 visual elements. According to the ratio of each element, hierarchical clustering is adopted to describe the similarity between each photo. The dendrogram of clustering result shows all the photos can be generally divided into 9 groups, which reflects different paradigms of people's visual expression of Kailash. In conclusion, this research reveals how Kailash is represented through filtered images in a web-based context. Also, it explores and extends the applications of GIS and AI technology in cultural landscape research.
format	article
author	Yucheng Zhang Jie He
author_facet	Yucheng Zhang Jie He
author_sort	Yucheng Zhang
title	Understanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping
title_short	Understanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping
title_full	Understanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping
title_fullStr	Understanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping
title_full_unstemmed	Understanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping
title_sort	understanding the visual image of kailash sacred landscape through geo-tagged landscape photos mapping
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4f32ec9c345b4a068d4e7171f3726c8e
work_keys_str_mv	AT yuchengzhang understandingthevisualimageofkailashsacredlandscapethroughgeotaggedlandscapephotosmapping AT jiehe understandingthevisualimageofkailashsacredlandscapethroughgeotaggedlandscapephotosmapping
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Understanding the visual image of Kailash Sacred Landscape through geo-tagged landscape photos mapping

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