Comparsion of Feature Extraction Methods for Finding Similar Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932935" target="_blank" >RIV/49777513:23520/17:43932935 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-66471-2_4" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-66471-2_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-66471-2_4" target="_blank" >10.1007/978-3-319-66471-2_4</a>
Alternative languages
Result language
angličtina
Original language name
Comparsion of Feature Extraction Methods for Finding Similar Images
Original language description
In this paper, we compare four methods of feature extraction for finding similar images. We created our own dataset which consists of 34500 colour images of various types of footwear and other accessories. We describe the methods that we experimented with and present results achieved with all of them. We presented the results to 23 people who then rated the performance of these methods. The best–rated method is selected for further research.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Interactive Collaborative Robotics Second International Conference, ICR 2017, Hatfield, UK, September 12-16, 2017, Proceedings
ISBN
978-3-319-66470-5
ISSN
0302-9743
e-ISSN
—
Number of pages
8
Pages from-to
29-36
Publisher name
Springer
Place of publication
Cham
Event location
Hatfield, United Kingdom
Event date
Sep 12, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000463337300004