Details
Originalsprache | Englisch |
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Titel des Sammelwerks | SUMAC 2021 - Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, co-located with ACM MM 2021 |
Seiten | 41-49 |
Seitenumfang | 9 |
ISBN (elektronisch) | 9781450386685 |
Publikationsstatus | Veröffentlicht - 20 Okt. 2021 |
Veranstaltung | 3rd ACM workshop on Structuring and Understanding of Multimedia heritAge Contents, SUMAC 2021 - Virtual, Online, China Dauer: 20 Okt. 2021 → … |
Publikationsreihe
Name | SUMAC 2021 - Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, co-located with ACM MM 2021 |
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Abstract
The production of European silk textile is an endangered intangible cultural heritage. Digital tools can nowadays be developed to help preserving it, or even to make it more accessible for the public and the fashion industry. In this paper, we propose an image-based retrieval tool that leverages on a knowledge graph describing the silk textile production as well as rules formulated by experts of this domain. Out of several possible similarity scenarios, two have proven to work best and have been integrated into an exploratory search engine.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Allgemeine Computerwissenschaft
- Ingenieurwesen (insg.)
- Medientechnik
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- RIS
SUMAC 2021 - Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, co-located with ACM MM 2021. 2021. S. 41-49 (SUMAC 2021 - Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, co-located with ACM MM 2021).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Searching Silk Fabrics by Images Leveraging on Knowledge Graph and Domain Expert Rules
AU - Schleider, Thomas
AU - Troncy, Raphael
AU - Ehrhart, Thibault
AU - Dorozynski, Mareike
AU - Rottensteiner, Franz
AU - Sebastián Lozano, Jorge
AU - Lo Cicero, Georgia
N1 - Funding Information: This work has been partially supported by the European Union’s Horizon 2020 research and innovation program within the SIL-KNOW (grant agreement No. 769504).
PY - 2021/10/20
Y1 - 2021/10/20
N2 - The production of European silk textile is an endangered intangible cultural heritage. Digital tools can nowadays be developed to help preserving it, or even to make it more accessible for the public and the fashion industry. In this paper, we propose an image-based retrieval tool that leverages on a knowledge graph describing the silk textile production as well as rules formulated by experts of this domain. Out of several possible similarity scenarios, two have proven to work best and have been integrated into an exploratory search engine.
AB - The production of European silk textile is an endangered intangible cultural heritage. Digital tools can nowadays be developed to help preserving it, or even to make it more accessible for the public and the fashion industry. In this paper, we propose an image-based retrieval tool that leverages on a knowledge graph describing the silk textile production as well as rules formulated by experts of this domain. Out of several possible similarity scenarios, two have proven to work best and have been integrated into an exploratory search engine.
KW - cultural heritage
KW - deep learning
KW - image retrieval
KW - knowledge graph
UR - http://www.scopus.com/inward/record.url?scp=85119076458&partnerID=8YFLogxK
U2 - 10.1145/3475720.3484445
DO - 10.1145/3475720.3484445
M3 - Conference contribution
AN - SCOPUS:85119076458
T3 - SUMAC 2021 - Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, co-located with ACM MM 2021
SP - 41
EP - 49
BT - SUMAC 2021 - Proceedings of the 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, co-located with ACM MM 2021
T2 - 3rd ACM workshop on Structuring and Understanding of Multimedia heritAge Contents, SUMAC 2021
Y2 - 20 October 2021
ER -