How Artificial Intelligence and Machine Learning Will Change Content Creation Methodologies

For almost 30 years, Digital Nonlinear Editing Systems (DNLEs) have functioned as a practical replacement for film and videotape editing. While DNLEs have progressed in their capabilities by offering increased video resolutions and visual effects, they have not fundamentally changed their operational constructs. Editors must still choose in and out points of shots and then methodically edit those shots into a cohesive sequencing. — Technology improvements in Artificial Intelligence (AI) and Machine Learning (ML) have the potential to profoundly impact how DNLE systems operate and, in turn, content creation methodologies will dramatically change. This paper will examine the effects of image recognition, natural speech processing, language recognition, cognitive metadata extraction, tonal analysis, and data and statistical integration on the creation of content.

Published

2017-10

Content type

Original Research

Keywords

Digital Nonlinear Editing, Artificial Intelligence, Machine Learning, Cognitive Metadata, Speech Analysis, Language Recognition

DOI

10.5594/M001794

ISBN

978-1-61482-959-1