To ensure access to growing video collections, annotation
is becoming more and more important. Using background
knowledge in the form of ontologies or thesauri is a way to
facilitate annotation in a broad domain. Current ontologies
are not suitable for (semi-) automatic annotation of visual
resources as they contain little visual information about the
concepts they describe. We investigate how an ontology that
does contain visual information can facilitate annotation in
a broad domain and identify requirements that a visual ontology
has to meet. Based on these requirements, we create
a visual ontology out of two existing knowledge corpora
(WordNet and MPEG-7) by creating links between visual
and general concepts. We test performance of the ontology
on 40 shots of news video, and discuss the added value of
each visual property.
@InProceedings{HollinkICM2005,
author = "Hollink, L. and Worring, M. and Schreiber, G.",
title = "Building a Visual Ontology for Video Retrieval",
booktitle = "ACM International Conference on Multimedia",
pages = "479--482",
year = "2005",
url = "https://ivi.fnwi.uva.nl/isis/publications/2005/HollinkICM2005",
pdf = "https://ivi.fnwi.uva.nl/isis/publications/2005/HollinkICM2005/HollinkICM2005.pdf"
}