Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Ontology-based concept indexing of images

Setchi, Rossitza, Tang, Q. and Bouchard, C. 2009. Ontology-based concept indexing of images. Lecture Notes in Computer Science 5711 , pp. 293-300. 10.1007/978-3-642-04595-0_36

Full text not available from this repository.

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: Article
Date Type: Publication
Status: Published
Schools: Engineering
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Additional Information: Knowledge-Based and Intelligent Information and Engineering Systems. Proceedings of the 13th International Conference, KES 2009, Santiago, Chile, September 28-30, 2009, Part 1.
Publisher: Springer Verlag
ISSN: 0302-9743
Last Modified: 04 Jun 2017 02:54
URI: http://orca.cf.ac.uk/id/eprint/13667

Citation Data

Cited 7 times in Google Scholar. View in Google Scholar

Cited 5 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item