research product . Other ORP type . 2022

Database of Machine Vision in Art, Games and Narratives: Archival Version in HTML and CSS

Rettberg, Jill Walker; Kronman, Linda; Solberg, Ragnhild; Gunderson, Marianne; Bjørklund, Stein Magne; Stokkedal, Linn Heidi; de Seta, Gabriele; Jacob, Kurdin; Markham, Annette;
Open Access English
  • Published: 03 May 2022
  • Publisher: Zenodo
Abstract
This is a static version of the Database of Machine Vision in Art, Games and Narratives, which was originally developed as a Drupal 9 database as part of the ERC project Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media. The static version consists of HTML and CSS files that can either be downloaded, or viewed in a web browser at https://machinevisionuib.github.io. To view the website in your browser, select GitHub-pages from the Environments section in the right hand menu of the Github repository, then select View deployment. The static version is intended as a permanent archive of the database. It does not have the search functionality of the database, but is more portable and durable, and will still be accessible after the database itself is no longer maintained. We plan to maintain the original database until at least July 2023. Data from the database is also available as a dataset consisting of csv files and documentation: Rettberg, Jill Walker; Kronman, Linda; Solberg, Ragnhild; Gunderson, Marianne; Bjørklund, Stein Magne; Stokkedal, Linn Heidi; de Seta, Gabriele; Jacob, Kurdin; Markham, Annette, 2022, "A Dataset Documenting Representations of Machine Vision Technologies in Artworks, Games and Narratives", https://doi.org/10.18710/2G0XKN, DataverseNO, V1 This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 771800).
Persistent Identifiers
Subjects
free text keywords: digital humanities, HTML, CSS, database, machine vision, digital art, digital culture, science fiction, game studies, video games, narrative
Related Organizations
Communities
  • Digital Humanities and Cultural Heritage
Funded by
EC| Machine Vision
Project
Machine Vision
Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media
  • Funder: European Commission (EC)
  • Project Code: 771800
  • Funding stream: H2020 | ERC | ERC-COG
Download from
Open Access
ZENODO
Other ORP type . 2022
Providers: ZENODO
Any information missing or wrong?Report an Issue