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HORÁKOVÁ, J. SIKORA, P. MIKLÁNEK, Š. BAROK, D. SCHIMMEL, J. ŘÍHA, K.
Original Title
An intelligent epistemological tool for audiovisual analysis and mediation of video art archive
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
Analysis;Artificial intelligence;Augmented iconography;Deep learning;Intelligent epistemological tool;Video art
Authors
HORÁKOVÁ, J.; SIKORA, P.; MIKLÁNEK, Š.; BAROK, D.; SCHIMMEL, J.; ŘÍHA, K.
Released
8. 7. 2024
Publisher
Elsevier
ISBN
1778-3674
Periodical
JOURNAL OF CULTURAL HERITAGE
Year of study
68
Number
July-August 2024
State
French Republic
Pages from
298
Pages to
306
Pages count
9
URL
https://www.sciencedirect.com/science/article/pii/S1296207424001353
BibTex
@article{BUT188988, author="Jana {Horáková} and Pavel {Sikora} and Štěpán {Miklánek} and Dušan {Barok} and Jiří {Schimmel} and Kamil {Říha}", title="An intelligent epistemological tool for audiovisual analysis and mediation of video art archive", journal="JOURNAL OF CULTURAL HERITAGE", year="2024", volume="68", number="July-August 2024", pages="298--306", doi="10.1016/j.culher.2024.06.011", issn="1778-3674", url="https://www.sciencedirect.com/science/article/pii/S1296207424001353" }