AI-based System for Cultural Heritage Objects Identification from Real Photos

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

AI-based System for Cultural Heritage Objects Identification from Real Photos

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

AI-based System for Cultural Heritage Objects Identification from Real Photos

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2022 12th International Conference on Advanced Computer Information Technologies, ACIT 2022

ISBN

978-1-66541-050-2

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

476-479

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Slovensko

Místo konání akce

Slovensko, Rozumberok

Datum konání akce

26. 8. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—