Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT

Conference Paper (2024)
Author(s)

Romulo Vieira (Universidade Federal Fluminense)

Debora C.M. Muchaluat-Saade (Universidade Federal Fluminense)

P.S. Cesar Garcia (TU Delft - Multimedia Computing, Centrum Wiskunde & Informatica (CWI))

Multimedia Computing
Copyright
© 2024 Romulo Vieira, Debora Muchaluat-Saade, Pablo Cesar
DOI related publication
https://doi.org/10.1007/978-3-031-53302-0_17
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Romulo Vieira, Debora Muchaluat-Saade, Pablo Cesar
Multimedia Computing
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
234-248
ISBN (print)
978-3-031-53301-3
ISBN (electronic)
978-3-031-53302-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The Internet of Multisensory, Multimedia and Musical Things (Io3MT) is a new concept that arises from the confluence of several areas of computer science, arts, and humanities, with the objective of grouping in a single place devices and data that explore the five human senses, besides multimedia aspects and music content. In the context of this brave new idea paper, we advance the proposition of a theoretical alignment between the emerging domain in question and the field of Artificial Intelligence (AI). The main goal of this endeavor is to tentatively delineate the inceptive trends and conceivable consequences stemming from the fusion of these domains within the sphere of artistic presentations. Our comprehensive analysis spans a spectrum of dimensions, encompassing the automated generation of multimedia content, the real-time extraction of sensory effects, and post-performance analytical strategies. In this manner, artists are equipped with quantitative metrics that can be employed to enhance future artistic performances. We assert that this cooperative amalgamation has the potential to serve as a conduit for optimizing the creative capabilities of stakeholders.

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