Annotations of multimedia documents typically have been pursued in
two different directions. Either previous approaches have focused
on low level descriptors, such as dominant color, or they have focused
on the content dimension and corresponding annotations, such as person
or vehicle. In this paper, we present a software environment to bridge
between the two directions. M-OntoMat-Annotizer allows for linking
low level MPEG-7 visual descriptions to conventional Semantic Web
ontologies and annotations. We use M-OntoMat-Annotizer in order to
construct ontologies that include prototypical instances of high-level
domain concepts together with a formal specification of corresponding
visual descriptors. Thus, we formalize the interrelationship of high-
and low-level multimedia concept descriptions allowing for new kinds
of multimedia content analysis, reasoning and retrieval.
%0 Journal Article
%1 Petridis2006
%A Petridis, Kosmas
%A Anastasopoulos, Dionysios
%A Saathoff, Carsten
%A Timmermann, Norman
%A Kompatsiaris, Yiannis
%A Staab, Steffen
%D 2006
%J Knowledge-Based Intelligent Information and Engineering Systems
%K imported
%P 633--640
%T M-OntoMat-Annotizer: Image Annotation Linking Ontologies and Multimedia
Low-Level Features
%U http://dx.doi.org/10.1007/11893011_80
%X Annotations of multimedia documents typically have been pursued in
two different directions. Either previous approaches have focused
on low level descriptors, such as dominant color, or they have focused
on the content dimension and corresponding annotations, such as person
or vehicle. In this paper, we present a software environment to bridge
between the two directions. M-OntoMat-Annotizer allows for linking
low level MPEG-7 visual descriptions to conventional Semantic Web
ontologies and annotations. We use M-OntoMat-Annotizer in order to
construct ontologies that include prototypical instances of high-level
domain concepts together with a formal specification of corresponding
visual descriptors. Thus, we formalize the interrelationship of high-
and low-level multimedia concept descriptions allowing for new kinds
of multimedia content analysis, reasoning and retrieval.
@article{Petridis2006,
abstract = {Annotations of multimedia documents typically have been pursued in
two different directions. Either previous approaches have focused
on low level descriptors, such as dominant color, or they have focused
on the content dimension and corresponding annotations, such as person
or vehicle. In this paper, we present a software environment to bridge
between the two directions. M-OntoMat-Annotizer allows for linking
low level MPEG-7 visual descriptions to conventional Semantic Web
ontologies and annotations. We use M-OntoMat-Annotizer in order to
construct ontologies that include prototypical instances of high-level
domain concepts together with a formal specification of corresponding
visual descriptors. Thus, we formalize the interrelationship of high-
and low-level multimedia concept descriptions allowing for new kinds
of multimedia content analysis, reasoning and retrieval.},
added-at = {2009-09-12T19:19:34.000+0200},
author = {Petridis, Kosmas and Anastasopoulos, Dionysios and Saathoff, Carsten and Timmermann, Norman and Kompatsiaris, Yiannis and Staab, Steffen},
biburl = {https://www.bibsonomy.org/bibtex/2603d55e946b766debd5e717aa456d85b/mozaher},
file = {:Petridis2006.pdf:PDF},
interhash = {f951d35bb5f4e08411ba68cf88057237},
intrahash = {603d55e946b766debd5e717aa456d85b},
journal = {Knowledge-Based Intelligent Information and Engineering Systems},
keywords = {imported},
owner = {Mozaherul Hoque},
pages = {633--640},
timestamp = {2009-09-12T19:19:42.000+0200},
title = {M-OntoMat-Annotizer: Image Annotation Linking Ontologies and Multimedia
Low-Level Features},
url = {http://dx.doi.org/10.1007/11893011_80},
year = 2006
}