AI-based System for Cultural Heritage Objects Identification from Real Photos
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F22%3A43905500" target="_blank" >RIV/60076658:12310/22:43905500 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/xpl/conhome/9912736/proceeding" target="_blank" >https://ieeexplore.ieee.org/xpl/conhome/9912736/proceeding</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ACIT54803.2022.9912752" target="_blank" >10.1109/ACIT54803.2022.9912752</a>
Alternative languages
Result language
angličtina
Original language name
AI-based System for Cultural Heritage Objects Identification from Real Photos
Original language description
Identification a specific object that is only partially depicted in digital photography is a non-trivial task that is currently being solved by several different commercial services. These services work for unidentified photographs, depicting different types of objects (e.g. people, animals, buildings, etc.), with a very different level of reliability. To identify specific architectural monuments from the field of cultural heritage, our team created a unique dataset and designed a multi-step identification scheme using advanced machine learning methods. Based on the initial verification, it can be stated that our solution shows the ability of specific object identification. © 2022 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2022 12th International Conference on Advanced Computer Information Technologies, ACIT 2022
ISBN
978-1-66541-050-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
476-479
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Slovensko
Event location
Slovensko, Rozumberok
Event date
Aug 26, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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