Searching silk fabrics by images leveraging on knowledge graph and domain expert rules

Schleider, Thomas; Troncy, Raphaël; Ehrhart, Thibault; Dorozynski, Mareike; Rottensteiner, Franz; Lozano, Jorge Sebastián; Lo Cicero, Georgia
SUMAC 2021, 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, 20 October 2021, Chengdu, China (Virtual Event)

Best Paper Award

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.


DOI
Type:
Conférence
City:
Chengdu
Date:
2021-10-19
Department:
Data Science
Eurecom Ref:
6717
Copyright:
© ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in SUMAC 2021, 3rd Workshop on Structuring and Understanding of Multimedia heritAge Contents, 20 October 2021, Chengdu, China (Virtual Event) http://doi.org/10.1145/3475720.3484445

PERMALINK : https://www.eurecom.fr/publication/6717