Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT

Romulo Vieira; Debora Muchaluat-Saade; Pablo Cesar

doi:10.1007/978-3-031-53302-0_17

Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT

Romulo Vieira^*, Debora Muchaluat-Saade, Pablo Cesar

^*Corresponding author for this work

Multimedia Computing

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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.

Original language	English
Title of host publication	MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings
Editors	Stevan Rudinac, Marcel Worring, Cynthia Liem, Alan Hanjalic, Björn Pór Jónsson, Yoko Yamakata, Bei Liu
Place of Publication	Cham
Publisher	Springer
Pages	234-248
Number of pages	15
ISBN (Electronic)	978-3-031-53302-0
ISBN (Print)	978-3-031-53301-3
DOIs	https://doi.org/10.1007/978-3-031-53302-0_17
Publication status	Published - 2024
Event	30th International Conference on MultiMedia Modeling, MMM 2024 - Amsterdam, Netherlands Duration: 29 Jan 2024 → 2 Feb 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14557 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	30th International Conference on MultiMedia Modeling, MMM 2024
Country/Territory	Netherlands
City	Amsterdam
Period	29/01/24 → 2/02/24

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.

Keywords

Artificial Intelligence
Internet of Multisensory
Multimedia and Musical Things
Networked Performances

Access to Document

10.1007/978-3-031-53302-0_17

Cite this

Vieira, R., Muchaluat-Saade, D., & Cesar, P. (2024). Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT. In S. Rudinac, M. Worring, C. Liem, A. Hanjalic, B. P. Jónsson, Y. Yamakata, & B. Liu (Eds.), MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings (pp. 234-248). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14557 LNCS). Springer. https://doi.org/10.1007/978-3-031-53302-0_17

Vieira, Romulo ; Muchaluat-Saade, Debora ; Cesar, Pablo. / Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT. MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings. editor / Stevan Rudinac ; Marcel Worring ; Cynthia Liem ; Alan Hanjalic ; Björn Pór Jónsson ; Yoko Yamakata ; Bei Liu. Cham : Springer, 2024. pp. 234-248 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT",

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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Vieira, R, Muchaluat-Saade, D & Cesar, P 2024, Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT. in S Rudinac, M Worring, C Liem, A Hanjalic, BP Jónsson, Y Yamakata & B Liu (eds), MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14557 LNCS, Springer, Cham, pp. 234-248, 30th International Conference on MultiMedia Modeling, MMM 2024, Amsterdam, Netherlands, 29/01/24. https://doi.org/10.1007/978-3-031-53302-0_17

Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT. / Vieira, Romulo; Muchaluat-Saade, Debora; Cesar, Pablo.
MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings. ed. / Stevan Rudinac; Marcel Worring; Cynthia Liem; Alan Hanjalic; Björn Pór Jónsson; Yoko Yamakata; Bei Liu. Cham: Springer, 2024. p. 234-248 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14557 LNCS).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - 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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KW - Networked Performances

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Vieira R, Muchaluat-Saade D, Cesar P. Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT. In Rudinac S, Worring M, Liem C, Hanjalic A, Jónsson BP, Yamakata Y, Liu B, editors, MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings. Cham: Springer. 2024. p. 234-248. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-53302-0_17