Ontology-based concept indexing of images

Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544, Tang, Q. and Bouchard, C. 2009. Ontology-based concept indexing of images. Presented at: KES 2009: 13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Santiago, Chile, 28-30 September 2009. Published in: Velasquez, J. D. ed. Knowledge-Based and Intelligent Information and Engineering Systems: 13th International Conference, KES 2009, Santiago, Chile, September 28-30, 2009, Proceedings, Part I. Lecture Notes in Computer Science , vol.5711 Berlin: Springer Verlag, pp. 293-300. 10.1007/978-3-642-04595-0_36

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Abstract

The search for inspirational images is an important part of creative design. When identifying inspirational materials, designers search semantic domains that are different from the target domain and use semantic adjectives in combination with the traditionally used keywords. This paper describes research conducted within the TRENDS project, which aimed at developing a software tool for the needs of concept cars designers. The goal was to assist them with the process of collecting inspirational images from various sectors of influence. The paper describes the ontology tagging algorithm developed to index the images in the TRENDS database using concepts from two ontologies: a generic ontology called OntoRo, and a domain-specific ontology CTA developed for the needs of the project. The paper presents the evaluation of the developed algorithm and suggests areas for further research.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Publisher:	Springer Verlag
Last Modified:	09 Jul 2024 11:34
URI:	https://orca.cardiff.ac.uk/id/eprint/13667

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