Efficient Media Production and Management with AI Assistants: A Multi-Domain Exploration

Artificial Intelligence is significantly reshaping media production and asset management, transitioning from a mere tool to a collaborative partner. This research explores the application of AI models across four principal areas of media creation: Media Asset Management, Video Editing, Audio Production, and Music Composition. — By leveraging AI capabilities such as semantic embedding, large language models, and speech-to- text models, this study investigates the profound impact of AI on creative processes, workflow optimization, and ideation stimulation. Through automated mundane task execution, contextual search, recommendation engines, and in-context application help, AI assistants empower creators to focus on higher-order tasks while benefiting from efficient AI-driven assistance. We examine the use of AI models in each domain, highlighting their contributions to content management, semantic media search, video editing with transcripts, sound design, and chord symbol auto-completion. — By highlighting AI's role as a collaborator rather than a replacement, this paper emphasizes the symbiotic relationship between human ingenuity and AI-driven efficiency, underscoring the profound potential for groundbreaking media content creation. In an era where AI is an integral part of the media landscape, this paper addresses the transformative power of AI across diverse creative domains, ushering in a new era of media production and media management.

Published

2023-10

Content type

Original Research

Keywords

Artificial Intelligence, Machine Learning, Media Production, Asset Management, OpenCLIP, GPT-4, LLaMa2, Whisper, Audio Production, Music Composition, Video Editing, Media Asset Management

DOI

10.5594/M002009

ISBN

978-1-61482-964-5