Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.landurbplan.2019.103604 |
Machine-based understanding of manually collected visual and auditory datasets for urban perception studies | |
Verma, Deepank1; Jana, Arnab1; Ramamritham, Krithi2 | |
2019-10-01 | |
发表期刊 | LANDSCAPE AND URBAN PLANNING
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ISSN | 0169-2046 |
EISSN | 1872-6062 |
出版年 | 2019 |
卷号 | 190 |
文章类型 | Article |
语种 | 英语 |
国家 | India |
英文摘要 | While the previous studies have attempted to quantify the environmental characteristics which stimulate different emotions and perceptions, the temporal aspect of the transient urbanscapes and the multimodality in data collection and analysis has not been given enough attention. The characteristics of the urban environment fluctuate with the time, time-based sensory data collection is, therefore, critical for comprehensive assessment of the surroundings. This research note aims to propose a methodology for the temporal and multimodal data collection and demonstrates the use of smartphone-based camera and handheld recorder to manually collect visual and audio datasets simultaneously from urban streets. It utilizes state of the art computer algorithms to extract attributes from the visual and auditory datasets which can further help in establishing comparison and relationships between different urban spaces. Altogether, this study proposes an idea and working proof presenting data collection and automated analysis which can aid decision makers and urban planners to create a lively, safe and healthy environment. |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000484871000035 |
WOS关键词 | PREFERENCE ; STREETS |
WOS类目 | Ecology ; Environmental Studies ; Geography ; Geography, Physical ; Regional & Urban Planning ; Urban Studies |
WOS研究方向 | Environmental Sciences & Ecology ; Geography ; Physical Geography ; Public Administration ; Urban Studies |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/187484 |
专题 | 资源环境科学 |
作者单位 | 1.Indian Inst Technol, Ctr Urban Sci & Engn, Mumbai, Maharashtra, India; 2.Indian Inst Technol, Dept Comp Sci & Engn, Mumbai, Maharashtra, India |
推荐引用方式 GB/T 7714 | Verma, Deepank,Jana, Arnab,Ramamritham, Krithi. Machine-based understanding of manually collected visual and auditory datasets for urban perception studies[J]. LANDSCAPE AND URBAN PLANNING,2019,190. |
APA | Verma, Deepank,Jana, Arnab,&Ramamritham, Krithi.(2019).Machine-based understanding of manually collected visual and auditory datasets for urban perception studies.LANDSCAPE AND URBAN PLANNING,190. |
MLA | Verma, Deepank,et al."Machine-based understanding of manually collected visual and auditory datasets for urban perception studies".LANDSCAPE AND URBAN PLANNING 190(2019). |
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