DocumentCode
2019084
Title
Visualising an image collection?
Author
Ahmad, Khurshid ; Vrusias, Bogdan ; Zhu, Meng
Author_Institution
Dept. of Comput., Surrey Univ., Guildford, UK
fYear
2005
fDate
6-8 July 2005
Firstpage
268
Lastpage
274
Abstract
A system for the visualization of large collections of images, facilitated by an automatically constructed visual thesaurus, is reported. A corpus-based method for extraction of terminology and ontology of a specialist domain, scene-of-crime, is outlined. The challenge when capturing information in a crime scene is how to later visualise the scene, when all exhibits have been removed or altered. Experiments on experts dealing with describing a visual domain (the crime scene) suggest that the inter-indexer variability is limited.
Keywords
data visualisation; feature extraction; ontologies (artificial intelligence); police data processing; thesauri; image collection visualisation; scene-of-crime ontology extraction; scene-of-crime terminology extraction; visual thesaurus; Content based retrieval; Data visualization; Forensics; Humans; Image databases; Image retrieval; Information retrieval; Layout; Shape measurement; Terminology;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Visualisation, 2005. Proceedings. Ninth International Conference on
ISSN
1550-6037
Print_ISBN
0-7695-2397-8
Type
conf
DOI
10.1109/IV.2005.141
Filename
1509089
Link To Document