Content-based annotation and classification framework: a general multi-purpose approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00065734" target="_blank" >RIV/00216224:14330/13:00065734 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2513591.2513651" target="_blank" >http://dx.doi.org/10.1145/2513591.2513651</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2513591.2513651" target="_blank" >10.1145/2513591.2513651</a>
Alternative languages
Result language
angličtina
Original language name
Content-based annotation and classification framework: a general multi-purpose approach
Original language description
Unprecedented amounts of digital data are becoming available nowadays, but frequently the data lack some semantic information necessary to effectively organize these resources. For images in particular, textual annotations that represent the semantics are highly desirable. Only a small percentage of images is created with reliable annotations, therefore a lot of effort is being invested into automatic image annotation. In this paper, we address the annotation problem from a general perspective and introduce a new annotation model that is applicable to many text assignment problems. We also provide experimental results from several implemented instances of our model.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 17th International Database Engineering & Applications Symposium
ISBN
9781450320252
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
58-67
Publisher name
ACM
Place of publication
New York, NY, USA
Event location
Barcelona, Spain
Event date
Jan 1, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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