To use or not to use proprietary street view images in (health and place) research? That is the question
Guardado en:
| Publicado en: | arXiv.org (Mar 21, 2024), p. n/a |
|---|---|
| Autor principal: | |
| Otros Autores: | , , |
| Publicado: |
Cornell University Library, arXiv.org
|
| Materias: | |
| Acceso en línea: | Citation/Abstract Full text outside of ProQuest |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 2928715409 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 2928715409 | ||
| 045 | 0 | |b d20240321 | |
| 100 | 1 | |a Helbich, Marco | |
| 245 | 1 | |a To use or not to use proprietary street view images in (health and place) research? That is the question | |
| 260 | |b Cornell University Library, arXiv.org |c Mar 21, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a Computer vision-based analysis of street view imagery has transformative impacts on environmental assessments. Interactive web services, particularly Google Street View, play an ever-important role in making imagery data ubiquitous. Despite the technical ease of harnessing millions of Google Street View images, this article questions the current practices in using this proprietary data source from a European viewpoint. Our concern lies with Google's terms of service, which restrict bulk image downloads and the generation of street view image-based indices. To reconcile the challenge of advancing society through groundbreaking research while maintaining data license agreements and legal integrity, we believe it is crucial to 1) include an author's statement on using proprietary street view data and the directives it entails, 2) negotiate academic-specific license to democratize Google Street View data access, and 3) adhere to open data principles and utilize open image sources for future research. | |
| 653 | |a Web services | ||
| 653 | |a Questions | ||
| 653 | |a Open data | ||
| 653 | |a Images | ||
| 653 | |a Computer vision | ||
| 653 | |a Imagery | ||
| 700 | 1 | |a Danish, Matthew | |
| 700 | 1 | |a Labib, S M | |
| 700 | 1 | |a Ricker, Britta | |
| 773 | 0 | |t arXiv.org |g (Mar 21, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/2928715409/abstract/embedded/H09TXR3UUZB2ISDL?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2402.11504 |