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AI in the media and creative industries

Baptiste Caramiaux 1, 2 Fabien Lotte 3, 4 Joost Geurts 5 Giuseppe Amato 6 Malte Behrmann 7 Frédéric Bimbot 8 Fabrizio Falchi 6 Ander Garcia 9 Jaume Gibert 10 Guillaume Gravier 11 Hadmut Holken 12 Hartmut Koenitz 13 Sylvain Lefebvre 14 Antoine Liutkus 15 Andrew Perkis 16 Rafael Redondo 10 Enrico Turrin 17 Thierry Viéville 18 Emmanuel Vincent 19
1 LRI - Laboratoire de Recherche en Informatique
2 EX-SITU - Extreme Interaction
LRI - Laboratoire de Recherche en Informatique, Inria Saclay - Ile de France
3 Potioc - Popular interaction with 3d content
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest
4 LaBRI - Laboratoire Bordelais de Recherche en Informatique
5 DPEI - Direction des Partenariats Européens et Internationaux
6 CNR PISA - Consiglio Nazionale delle Ricerche [Pisa]
7 bbw Hochschule
8 PANAMA - Parcimonie et Nouveaux Algorithmes pour le Signal et la Modélisation Audio
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
9 VicomTech
10 Eurecat - Centro Tecnológico de Catalunya
11 LinkMedia - Creating and exploiting explicit links between multimedia fragments
Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
12 Holken Consultants
13 HKU - University of the Arts Utrecht
14 MFX - Matter from Graphics
LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry, Inria Nancy - Grand Est
15 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
16 NTNU - Norwegian University of Science and Technology [Trondheim]
17 FEP - Federation of European Publishers
18 Mnemosyne - Mnemonic Synergy
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, IMN - Institut des Maladies Neurodégénératives [Bordeaux]
19 MULTISPEECH - Speech Modeling for Facilitating Oral-Based Communication
Inria Nancy - Grand Est, LORIA - NLPKD - Department of Natural Language Processing & Knowledge Discovery
Abstract : Thanks to the Big Data revolution and increasing computing capacities, Artificial Intelligence (AI) has made an impressive revival over the past few years and is now omnipresent in both research and industry. The creative sectors have always been early adopters of AI technologies and this continues to be the case. As a matter of fact, recent technological developments keep pushing the boundaries of intelligent systems in creative applications: the critically acclaimed movie “Sunspring”, released in 2016, was entirely written by AI technology, and the first-ever Music Album, called “Hello World”, produced using AI has been released this year. Simultaneously, the exploratory nature of the creative process is raising important technical challenges for AI such as the ability for AI-powered techniques to be accurate under limited data resources, as opposed to the conventional “Big Data” approach, or the ability to process, analyse and match data from multiple modalities (text, sound, images, etc.) at the same time. The purpose of this white paper is to understand future technological advances in AI and their growing impact on creative industries. This paper addresses the following questions: Where does AI operate in creative Industries? What is its operative role? How will AI transform creative industries in the next ten years? This white paper aims to provide a realistic perspective of the scope of AI actions in creative industries, proposes a vision of how this technology could contribute to research and development works in such context, and identifies research and development challenges.
Keywords : Personalization Open Society Music Sound News Video games Design. Diversity Media Inclusivity Creativity Artificial Intelligence Creative Economy
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Submitted on : Friday, May 10, 2019 - 2:57:02 PM
Last modification on : Saturday, October 16, 2021 - 11:26:10 AM

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  • HAL Id : hal-02125504, version 1
  • ARXIV : 1905.04175

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UNIV-BORDEAUX | LABRI | ZENITH | UNIV-RENNES1 | CNRS | LIRMM | UNIV-LORRAINE | LORIA-ALGO | LORIA | LORIA-NLPKD | LARA | CENTRALESUPELEC | IRISA | MIPS | INRIA | UNIV-MONTPELLIER | UMR8623 | LRI-HCC | UNIV-RENNES | UR1-MATH-STIC | UR1-UFR-ISTIC | TDS-MACS | INSA-RENNES | HCI-SORBONNE | LISN | LISN-EX-SITU | GS-ENGINEERING | GS-COMPUTER-SCIENCE

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Baptiste Caramiaux, Fabien Lotte, Joost Geurts, Giuseppe Amato, Malte Behrmann, et al.. AI in the media and creative industries. [Research Report] New European Media (NEM). 2019, pp.1-35. ⟨hal-02125504⟩

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