Automatic Image Labelling using Similarity Measures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110448" target="_blank" >RIV/00216305:26220/14:PU110448 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7005984&refinements%3D4273474444%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A7005558%29" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7005984&refinements%3D4273474444%26sortType%3Dasc_p_Sequence%26filter%3DAND%28p_IS_Number%3A7005558%29</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MedCom.2014.7005984" target="_blank" >10.1109/MedCom.2014.7005984</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Image Labelling using Similarity Measures
Original language description
Scene classification based on global features. It can be used, for example, for annotating large databases of photos. The whole process has several steps. The first step is features extraction, and then the distance between a new image and reference images is calculated. A model is trained to classify new images based on this distance. The model was created using the Naïve Bayes classifier. To improve accuracy the forward selection was used, which optimizes the selection of a group of attributes. The overall performance on the testing dataset was 69.76%.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MEDCOM 2014 CD-ROM
ISBN
978-1-4799-5096-6
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
101-104
Publisher name
IEEE
Place of publication
Greater Noida
Event location
Greater Noida
Event date
Nov 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000375057800021