dc.contributor.author |
Mylonas, P |
en |
dc.contributor.author |
Avrithis, Y |
en |
dc.date.accessioned |
2014-03-01T02:45:00Z |
|
dc.date.available |
2014-03-01T02:45:00Z |
|
dc.date.issued |
2007 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/32084 |
|
dc.subject |
Contextual Information |
en |
dc.subject |
Fuzzy Set |
en |
dc.subject |
Image Analysis |
en |
dc.subject |
Language Use |
en |
dc.subject.other |
analysis results |
en |
dc.subject.other |
Contextual information |
en |
dc.subject.other |
Fuzzy algebra |
en |
dc.subject.other |
Image analysis technique (IAT) |
en |
dc.subject.other |
In order |
en |
dc.subject.other |
International (CO) |
en |
dc.subject.other |
Multimedia interactive services |
en |
dc.subject.other |
Multiple application domains |
en |
dc.subject.other |
Semantic knowledge |
en |
dc.subject.other |
visual context |
en |
dc.subject.other |
Algebra |
en |
dc.subject.other |
Fuzzy logic |
en |
dc.subject.other |
Fuzzy sets |
en |
dc.subject.other |
Information theory |
en |
dc.subject.other |
Multimedia services |
en |
dc.subject.other |
Ontology |
en |
dc.subject.other |
Set theory |
en |
dc.subject.other |
Image analysis |
en |
dc.title |
Using multiple domain visual context in image analysis |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/WIAMIS.2007.86 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/WIAMIS.2007.86 |
en |
heal.identifier.secondary |
4279119 |
en |
heal.publicationDate |
2007 |
en |
heal.abstract |
In this paper we propose an algorithm to improve the results of knowledge-assisted image analysis, based on contextual information. In order to achieve this, we utilize fuzzy algebra, fuzzy sets and relations, towards efficient manipulation of image region concepts. We provide a novel context modelling, based on the OWL language, using RDF reification. Initial image analysis results are enhanced by the utilization of domain-independent, semantic knowledge in terms of concepts and relations between them. The novelty of the presented work is the context-driven re-adjustment of the degrees of confidence of the detected concepts produced by any image analysis technique, utilizing a domainindependent ontology infrastructure to handle the knowledge, as well as multiple application domains. © 2007 IEEE. |
en |
heal.journalName |
8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007 |
en |
dc.identifier.doi |
10.1109/WIAMIS.2007.86 |
en |