skip to main content
10.1145/3017680.3022462acmconferencesArticle/Chapter ViewAbstractPublication PagessigcseConference Proceedingsconference-collections
abstract

Urban Archivist Application

Published: 08 March 2017 Publication History

Abstract

The Urban Archivist Application is designed to capture Urban Artwork and its associated metadata from around the world. The Application itself is available for mobile platforms and has a web-interface for viewing the data. Urban Archivist allows users to take photos of urban art they may find while out in the field on research. Once these photos are gathered, the application will automatically grab all the associated metadata from the image and populate those field within the application, minimizing user error. The user will then enter their own findings regarding the image and may upload it to the central database. This art and its associated metadata is instantly available to view by any individual using either the web or mobile Urban Archivist interface. Furthermore, we want to be able to build a dataset large enough to explore and contribute to the realms of machine learning and virtual reality. The goal of this research project is to implement something that has been done prior, while adding modern technological options available to increase the research opportunities for Computer Science and Humanitarian scholars. Preliminary tests via the prototype confirmed the project's ability to achieve this goal.

References

[1]
http://mith.umd.edu/research/the-portinari-project/
[2]
http://www.telerik.com/fiddler
[3]
http://omeka.readthedocs.io/

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGCSE '17: Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education
March 2017
838 pages
ISBN:9781450346986
DOI:10.1145/3017680
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 March 2017

Check for updates

Author Tags

  1. application
  2. archive
  3. archiving
  4. art
  5. artwork
  6. collection
  7. data
  8. data-collection
  9. metadata
  10. mobile
  11. urban-art

Qualifiers

  • Abstract

Conference

SIGCSE '17
Sponsor:

Acceptance Rates

SIGCSE '17 Paper Acceptance Rate 105 of 348 submissions, 30%;
Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

Upcoming Conference

SIGCSE TS 2025
The 56th ACM Technical Symposium on Computer Science Education
February 26 - March 1, 2025
Pittsburgh , PA , USA

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 87
    Total Downloads
  • Downloads (Last 12 months)5
  • Downloads (Last 6 weeks)0
Reflects downloads up to 07 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media