Title
Exploring Artificial Intelligence for Advancing Performance Processes and Events in Io3MT
Author
Vieira, Romulo (Universidade Federal Fluminense)
Muchaluat-Saade, Debora (Universidade Federal Fluminense)
Cesar, Pablo (TU Delft Multimedia Computing; Centrum Wiskunde & Informatica (CWI)) 
Contributor
Rudinac, Stevan (editor)
Worring, Marcel (editor)
Liem, Cynthia (editor)
Hanjalic, Alan (editor)
Jónsson, Björn Pór (editor)
Yamakata, Yoko (editor)
Liu, Bei (editor)
Date
2024
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.
Subject
Artificial Intelligence
Internet of Multisensory
Multimedia and Musical Things
Networked Performances
To reference this document use:
http://resolver.tudelft.nl/uuid:f0f80eaa-0a47-4ca6-a707-4f0a285a2805
DOI
https://doi.org/10.1007/978-3-031-53302-0_17
Publisher
Springer, Cham
Embargo date
2024-07-29
ISBN
978-3-031-53301-3
Source
MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings
Event
30th International Conference on MultiMedia Modeling, MMM 2024, 2024-01-29 → 2024-02-02, Amsterdam, Netherlands
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 14557 LNCS
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.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2024 Romulo Vieira, Debora Muchaluat-Saade, Pablo Cesar