Generative Artificial Intelligence Tools Applied to the Audiovisual Editing. Typologies and dilemmas

Authors

DOI:

https://doi.org/10.24137/raeic.11.e.4

Keywords:

artificial intelligence, audiovisual creation, digital tools, generative AI, online video, video editors

Abstract

Companies and content creators prioritize video content since more than 80% of online traffic is generated through this format. Although video production has historically been slow and expensive, Artificial Intelligence (AI) has simplified this process. AI-based video generators are affordable and produce quality content quickly and cheaply using advanced algorithms to analyze and combine images, text and audio, offering customization options such as background music, visual effects or tagging automatic people through facial recognition. The integration of AI in video editing is transforming Audiovisual Production, accelerating creative processes and improving their quality, although controversy has also been created about the consequences of its use. Generative AI video editors are essential tools for professionals and hobbyists alike, simplifying post-production and opening up new creative possibilities. This comparative study analyzes these tools to describe the capabilities, advantages and disadvantages of the most used platforms, adapting them to the needs of the world of Audiovisual Communication.

Generative AI video editors are essential tools for professionals and hobbyists alike, simplifying post-production and opening up new creative possibilities. This comparative study analyzes these tools to describe the capabilities, advantages and disadvantages of the most used platforms, adapting them to the needs of the world of Audiovisual Communication.

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Author Biography

  • Juan Pablo Mateos Abarca, Universidad Complutense de Madrid

    He is an editor, director of technology companies, business consultant and teacher, participating in the development of cutting-edge digital editorial projects. Likewise, he is an expert in Open Source and Licensed content managers, mobile applications, generative artificial intelligence, hybrid paper-digital systems, transmedia journalism, CRM, information systems applied to the company and R&D +i projects. He has led projects such as Doopress, Doopaper, Editmaker, AppsEditor and other platforms that are currently used by hundreds of publishers. He has a Bachelor's degree in Information Sciences from the Complutense University of Madrid, a Master's degree in Digital Journalism from the Recoletos Group and a Master's degree in Community Law from the European University of Madrid. Likewise, he has a Doctor in Information Business from the Complutense University of Madrid. In addition, he is an official member of the MEDIACOM Research Group (UCM) and a member of the National Committee of Communication Professionals (PROCOM). He is a professor at the Faculty of Information Sciences of the Complutense University of Madrid, in the department of Journalism and New Media, in the area of Technology. He has published various articles and book chapters in renowned scientific and editorial journals (Historia y Comunicación, Methaodos, Icono14, Revista Mediterránea, Gedisa, Fragua, Dykinson, etc.).

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Published

2024-07-31

How to Cite

Generative Artificial Intelligence Tools Applied to the Audiovisual Editing. Typologies and dilemmas. (2024). Revista De La Asociación Española De Investigación De La Comunicación, 11(Especial), raeic11e04. https://doi.org/10.24137/raeic.11.e.4