<div class="csl-bib-body">
<div class="csl-entry">Divotkey, D., Eidenberger, H., & Divotkey, R. (2005). Artificial Intelligence and Query Execution Methods in the VizIR Framework. <i>ÖGAI Journal</i>, <i>24</i>(2), 17–27. http://hdl.handle.net/20.500.12708/173337</div>
</div>
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dc.identifier.issn
0254-4326
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/173337
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dc.description.abstract
The article introduces the architecture of the querying components of the visual information retrieval framework VizIR. A major design goal was to assure adaptability and extensibility in manifold ways. VizIR components can be arbitrarily combined to build extensive applications. The framework provides various visual content descriptors, similarity measures and query models. Moreover, the platform can be extended by visual features or similarity measures as well as entirely novel query paradigms. VizIR introduces an approach for Video Browsing based on MPEG-7 visual features and Self- Organizing Maps for clustering. Furthermore, a recently proposed approach for integrating browsing and retrieval techniques is presented. Following this approach, the user is enabled to interact with the querying system in several ways which improves retrieval quality and performance considerably.
en
dc.subject
Visual Information Retrieval
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dc.subject
VizIR
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dc.title
Artificial Intelligence and Query Execution Methods in the VizIR Framework
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dc.type
Spezialbeitrag
de
dc.type
Special Contribution
en
dc.description.startpage
17
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dc.description.endpage
27
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dc.type.category
Article in a Magazine
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tuw.container.volume
24
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tuw.container.issue
2
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tuw.publication.orgunit
E193-06 - Forschungsbereich Interactive Media Systems
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tuw.publication.orgunit
E194-01 - Forschungsbereich Software Engineering
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dc.identifier.libraryid
AC05936255
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dc.description.numberOfPages
11
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wb.sciencebranch
Mathematik, Informatik
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wb.sciencebranch.oefos
11
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dc.relation.ispartofmagazine
ÖGAI Journal
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item.fulltext
no Fulltext
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item.openairetype
text
-
item.grantfulltext
restricted
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.cerifentitytype
Publications
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crisitem.author.dept
E188 - Institut für Softwaretechnik und Interaktive Systeme
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crisitem.author.dept
E193-03 - Forschungsbereich Virtual and Augmented Reality
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crisitem.author.parentorg
E180 - Fakultät für Informatik
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crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology