AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity

Metadata

Publisher: SMPTE
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Motion Imaging Jour.
Volume: 133, No. 3, pp. 66–76
Abstract: This paper delves into AI's transformative role in media production and management, examining its application in media asset management, video editing, audio production, and music composition. It investigates how AI, through technologies like semantic embedding and large language models, significantly impacts creative processes, workflow optimization, and ideation. AI aids in automating mundane tasks, enhancing contextual searches, and providing recommended editorial choices, thus allowing creators to concentrate on more complex creative tasks. The survey highlights the use of AI in content management, semantic media search, transcript-based video editing, sound design, and chord symbol auto-completion, illustrating AI's role as a collaborative partner that enhances human ingenuity. The paper underscores the symbiotic relationship between AI and creators, emphasizing the potential for AI to usher in a new era of innovative media content creation and management, positioning AI as a central component of the modern media landscape.
Publication Date: 2024-05-01
DOI: 10.5594/JMI.2024/WREN8857
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2024/WREN8857
Author(s): Rob Gonsalves
Katherine Li
Stephen Wilson
Nestor Napoles Lopez
Shailendra Mathur
Keyword(s): Artificial Intelligence, Machine Learning, Media Production, Media Asset Management, OpenCLIP, GPT-4, Llama 2
Copyright: © 2024 SMPTE

Source Data (JSON)

Full registry record with provenance metadata. Open directly: /api/doc/10.5594-JMI.2024-WREN8857.json

Reference this Doc

Plain text (ISO 690 compliant)

Preview:

Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/WREN8857

Snippet:

Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/WREN8857

HTML (ISO 690 compliant)

Preview:

Snippet:

<span class="citation">Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; <cite>AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity</cite>, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024. Available at <a href="https://doi.org/10.5594/JMI.2024/WREN8857" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2024/WREN8857</a></span>

SMPTE's HTML Pub

Preview:

Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024
doi: 10.5594/JMI.2024/WREN8857
url: https://doi.org/10.5594/JMI.2024/WREN8857

Snippet:

<li>
Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; <cite id="bib-10-5594-jmi-2024-wren8857">AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity</cite>, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024
<span class="doi">10.5594/JMI.2024/WREN8857</span>
</li>