Jones, Christopher Bernard ORCID: https://orcid.org/0000-0001-6847-7575, Rosin, Paul L. ORCID: https://orcid.org/0000-0002-4965-3884 and Slade, Jonathan David
2014.
Semantic and geometric enrichment of 3D geo-spatial models with captioned photos and labelled illustrations.
Presented at: Workshop on Vision and Language, 25th International Conference on Computational Linguistics, Coling 2014,,
Dublin, Ireland,
23 August 2014.
Proceedings of the Third Workshop on Vision and Language.
ACL,
pp. 62-67.
10.3115/v1/W14-5409
|
Preview |
PDF
- Published Version
Available under License Creative Commons Attribution Non-commercial Share Alike. Download (1MB) | Preview |
Abstract
There are many 3D digital models of buildings with cultural heritage interest, but most of them lack semantic annotation that could be used to inform users of mobile and desktop applications about their origins and architectural features. We describe methods in an ongoing project for enriching 3D models with generic annotation, derived from examples of images of building components and from labelled plans and diagrams, and with object-specific descriptions obtained from photo captions. This is the first stage of research that aims to annotate 3D models with facts extracted from the text of authoritative architectural guides.
| Item Type: | Conference or Workshop Item - unpublished |
|---|---|
| Date Type: | Published Online |
| Status: | Unpublished |
| Schools: | Schools > Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Additional Information: | No ISSN/ISBN: Chris Jones, Paul Rosin, and Jonathan Slade. 2014. Semantic and geometric enrichment of 3D geo-spatial models with captioned photos and labelled illustrations. In Proceedings of the Third Workshop on Vision and Language, pages 62–67, Dublin, Ireland. Dublin City University and the Association for Computational Linguistics. |
| Publisher: | ACL |
| Related URLs: | |
| Date of First Compliant Deposit: | 13 October 2026 |
| Last Modified: | 13 Oct 2026 09:18 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/67993 |
Citation Data
Cited 4 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |





Dimensions
Dimensions