FCA as a tool for inaccuracy detection in content-based image analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86085133" target="_blank" >RIV/61989100:27240/10:86085133 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/GrC.2010.24" target="_blank" >http://dx.doi.org/10.1109/GrC.2010.24</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/GrC.2010.24" target="_blank" >10.1109/GrC.2010.24</a>
Alternative languages
Result language
angličtina
Original language name
FCA as a tool for inaccuracy detection in content-based image analysis
Original language description
In this paper we focus on the detection of inaccuracies in the results of content-based image analysis. During the analysis process we detect a set of features, which are later used in Image Retrieval. This detection is based on multiple algorithms specific to particular features. These algorithms use parameters, which have been obtained by the analysis of our test collection. However it seems that in the real application deployment produces some inaccuracies in the results. Our goal is to support the process of feature analysis by detecting these inaccuracies, or at least showing the most probable sources of them. This support can be helpful in tuning these algorithms on less known input data. In the article we describe both the image features detection algorithms as well as usage of Formal Concept Analysis (FCA) as a tool for detection of inaccuracies.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/GA201%2F09%2F0990" target="_blank" >GA201/09/0990: XML data processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2010 IEEE International Conference on Granular Computing (GrC) : proceedings
ISBN
978-0-7695-4161-7
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
223-228
Publisher name
IEEE
Place of publication
New York
Event location
San Jose
Event date
Aug 14, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—