Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/159553
Search by Image Engine using Local Feature Detectors
Author(s)
| Author |
|---|
Smelyakov, Kirill |
Chupryna, Anastasiya |
Ponomarenko, Oleksandr |
Kolisnyk, Maksym |
Title [en]
Search by Image Engine using Local Feature Detectors
Is part of
2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania
Published In
| Year |
|---|
2020 |
Publishing date
2020-06-05
Publisher
New York : IEEE
Extent
4 p.
Abstract (en)
Nowadays, modern big data warehouses require the development of effective management algorithms. For large image storages first of all it's important to develop effective algorithms for comparing and searching a similar image from an image, taking into account their possible geometric transformations. In this regard, one of the most promising is the approach based on the use of invariant Local Feature Detectors. The work is carried out experimental research of such detectors’ effectiveness for Search by Image Engine in large image storages.
Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Jungtinės Amerikos Valstijos / United States of America (US)
Description
DSpace:
Institucija / Institution: Kharkiv National University of Radio Electronics
Owning collection
ISBN
9781728197807
9781728197791