Towards a new image archive for the built environment
Bibliographic Data
| ID | 21248163 |
|---|---|
| Authors | Kartikeya Date (0000-0002-0226-9527, Technion – Israel Institute of Technology), Yael Allweil (Technion – Israel Institute of Technology, corresponding author) |
| Year | 2022 |
| Volume | 49 |
| Issue | 2 |
| Pages | 519-534 |
| Publication date | 2022-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning B Urban Analytics and City Science (JOURNAL) |
| Journal identifiers | ISSN: 2399-8083 • E-ISSN: 2399-8091 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/23998083211011474 |
| OpenAlex | W3159850159 |
| Language | EN |
| Citations received | 1 |
| References cited | 47 |
The ever-growing online corpus of images of the built environment, on social media and mapping platforms, offers a new kind of archive of the built environment. Recent advances in computer vision, specifically convolutional neural networks, offer new ways of querying and analyzing large image corpuses. In this paper, we propose a new method by which historians of the built environment can use these vast image corpuses in their study, enabling new research questions. To demonstrate proof of need, we report on an ongoing case study in Tel Aviv that attempts to show the feasibility of our proposed method for enabling a Historic Urban Landscapes (HUL)-based approach to the study of the built environment. In so doing, we show how such image corpuses could potentially form a new type of archive for architectural and urban history
Built environment · Civil engineering · Convolutional neural network · Data science · Environmental planning · Geography · Library science · Tel aviv · Urban Environment · World Wide Web · Advanced Image and Video Retrieval Techniques · Archaeological Research and Protection · Computer Science · Engineering · Multimodal Machine Learning Applications · Artificial Intelligence
Languages of Art
The Allure of the Archives
Fully convolutional networks for semantic segmentation
Computer vision uncovers predictors of physical urban change
ImageNet
Theories of the Archive from Across the Disciplines
Gradient-based learning applied to document recognition
Building instance classification using street view images
ImageNet Large Scale Visual Recognition Challenge
Backpropagation Applied to Handwritten Zip Code Recognition
Null
The spatial distribution and frequency of street, plot and building types across five European cities
Urban big data analytics and morphology
Urban Heritage
Homeland
Archive Fever
Zooming into an Instagram City
The digital skin of cities
Reassembling the city through Instagram
Digital methods II
Reshaping Urban Conservation
The dialectics of sketching
Seeing the smart city on Twitter
The Image of Objectivity
Representation
| Unique citing works | 1 |
|---|---|
| Citations per year | 0.5 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |