An intelligent epistemological tool for audiovisual analysis and mediation of video art archive
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU151652" target="_blank" >RIV/00216305:26220/24:PU151652 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S1296207424001353" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1296207424001353</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.culher.2024.06.011" target="_blank" >10.1016/j.culher.2024.06.011</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
An intelligent epistemological tool for audiovisual analysis and mediation of video art archive
Popis výsledku v původním jazyce
This article focuses on the development and application of intelligent software for image and sound recognition to perform iconographic and audiographic analyses of the work of video art pioneers Steina and Woody Vasulka (the Vasulkas). The AI epistemological tool Vasulka Live Archive is designed to provide unique results that benefit from the synthesis of automatic statistical analysis across the dataset and application of predefined categories that are the results of aesthetic evaluation of the Vasulkas’ videos and inspired by terminology of video art aesthetics (Weibel, Krauss). The advantages of this AI tool reveal themselves particularly when the tool is used for transmedia analysis of the whole dataset (the Vasulkas’ work) as the accuracy and completeness of its results are out of reach of an individual human researcher. We argue that this kind of AI tools can contribute to more exact and data-based findings on media art aesthetics, it can contribute to establishing a new field augmented iconology (Spratt) as well as expanding the sphere of AI tools application towards digital collections of experimental and conceptual art of 20th and 21st centuries.
Název v anglickém jazyce
An intelligent epistemological tool for audiovisual analysis and mediation of video art archive
Popis výsledku anglicky
This article focuses on the development and application of intelligent software for image and sound recognition to perform iconographic and audiographic analyses of the work of video art pioneers Steina and Woody Vasulka (the Vasulkas). The AI epistemological tool Vasulka Live Archive is designed to provide unique results that benefit from the synthesis of automatic statistical analysis across the dataset and application of predefined categories that are the results of aesthetic evaluation of the Vasulkas’ videos and inspired by terminology of video art aesthetics (Weibel, Krauss). The advantages of this AI tool reveal themselves particularly when the tool is used for transmedia analysis of the whole dataset (the Vasulkas’ work) as the accuracy and completeness of its results are out of reach of an individual human researcher. We argue that this kind of AI tools can contribute to more exact and data-based findings on media art aesthetics, it can contribute to establishing a new field augmented iconology (Spratt) as well as expanding the sphere of AI tools application towards digital collections of experimental and conceptual art of 20th and 21st centuries.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20202 - Communication engineering and systems
Návaznosti výsledku
Projekt
<a href="/cs/project/TL02000270" target="_blank" >TL02000270: Media Art Live Archive: Inteligentní rozhraní pro interaktivní zprostředkování kulturního dědictví</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
JOURNAL OF CULTURAL HERITAGE
ISSN
1296-2074
e-ISSN
1778-3674
Svazek periodika
68
Číslo periodika v rámci svazku
July-August 2024
Stát vydavatele periodika
FR - Francouzská republika
Počet stran výsledku
9
Strana od-do
298-306
Kód UT WoS článku
001267723100001
EID výsledku v databázi Scopus
2-s2.0-85198196810