- Authors
- Walpola Layantha Perera Technische Universität Dresden, Medienzentrum
- Heike Messemer
- Matthias HeinzTechnische Universität Dresden, Medienzentrum
- Michael Kretzschmar
- title
- Detecting Treasures in Museums with Artificial Intelligence
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-735542
- conference
- Gemeinschaften in Neuen Medien. Dresden, 07. - 09.10.2020
- Source
- Gemeinschaften in Neuen Medien. Von hybriden Realitäten zu hybriden Gemeinschaften : 23. Workshop GeNeMe'20 Gemeinschafen in Neuen Medien
Herausgeber: Prof. Dr. Thomas Köhler, Prof. Dr. Eric Schoop, Prof. Dr. Nina Kahnwald
Erscheinungsort: Dresden
Verlag: TUDpress
Erscheinungsjahr: 2020
Seiten: 36-48
ISBN: 978-3-95908-21-1 - publication_date
- 2020
- Abstract (EN)
- Museums around the world possess hundreds of thousands of priceless objects, which have stories to tell about human history. While students and scholars study them, even the general public is interested in these stories. If there is a way to automate the information delivery system about these objects it will be of immense value, e.g. it will support students to study these objects and speed up research. Adaptive blended learning options are conceivable, which can perfectly merge digital analysis and onsite viewing. Thus, the preparation and post-processing of studied objects is just as conceivable as the adequate acquisition of information for on-site studies. Examples of such solutions would be mobile apps and computer software that can be used for history and archaeology education as well. However, it is important to identify these objects correctly in order to build such solutions. Computer vision technologies in artificial intelligence (AI) can be used for this. Therefore, this paper will show how AI-algorithms can be used for digital humanities in novel ways, such as for detecting museum treasures.
- otherVersion0000000000
- Im Druck erschienen im Konferenzband 'Gemeinschaften in neuen Medien. Von hybriden Realitäten zu hybriden Gemeinschaften' bei TUDpress.
ISBN: 978-3-95908-21-1 - Keywords (DE)
- GeNeMe 2020, Einfluss der Digitalisierung auf Bildung, Forschung und Gesellschaft, Digitaler Wissenstransfer, Mediennutzungskonzepte
- Keywords (EN)
- GeNeMe 2020, Impact of digitization on education, research and society, Digital knowledge transfer, Media usage concepts
- Classification (DDC)
- 330
- Classification (RVK)
- QR 760
- Publishing house
- TUDpress, Dresden
- corporation_other
- Technische Universität Dresden, Dresden
- version
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-735542
- Qucosa date of publication
- 28.01.2021
- Document type
- in_proceeding
- Document language
- English
- licence
- CC BY 4.0