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Search by Image Engine using Local Feature Detectors

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Date
2020
Author
Smelyakov, Kirill
Chupryna, Anastasiya
Ponomarenko, Oleksandr
Kolisnyk, Maksym
Metadata
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Abstract
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.
Issue date (year)
2020
Author
Smelyakov, Kirill
URI
https://etalpykla.vilniustech.lt/handle/123456789/159553
Collections
  • 2020 International Conference "Electrical, Electronic and Information Sciences“ (eStream)  [24]

 

 

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