DeepBrain AI Launches Development of Conversational Video Production Automation
AI TIMES ·
✦ AI Summary
According to AI TIMES, DeepBrain AI has been selected as the sole lead organization for a Ministry of SMEs and Startups project and will mov…
According to AI TIMES, DeepBrain AI has been selected as the sole lead organization for a Ministry of SMEs and Startups project and will move ahead in earnest with the development of an "AI video agent" that links planning, generation, editing, and revision by 2028 with an investment of about KRW 1.5 billion. DeepBrain AI said on Oct. 19 that it plans to connect the technology with its own platform and transform enterprise video production workflows into a conversational working method. The development focuses on reducing the inconvenience in the field, where generative AI can create videos but they still need to be manually revised if they do not match the original intent. Based on materials such as documents, web pages, images, and voice recordings, the system will automatically create scripts and scene compositions, while also incorporating a company’s internal information to improve how well the output fits its purpose. It also aims to refine an avatar’s speech, facial expressions, gaze, and movements to match the nature of the content, and to build an integrated structure in which multiple AIs divide roles across production and editing. The remaining questions are whether a natural-language revision instruction method will take hold in actual work and whether its competitiveness can be proven through field demonstrations and final quality.
Perspective
The key issue here is no longer just competition in video generation performance, but how much the entire production process that companies actually use can be made less complicated. If the output is implemented as planned, workflows that have depended heavily on specialized editors and tool proficiency could shift to a conversation-centered model, lowering the barrier to adoption. In the end, the market is likely to judge the new feature not by how many functions it has, but by whether it can reliably deliver results that match intent while reducing production time.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
View originalThis article was summarized and organized by BizCrush based on the original article from AI TIMES. For exact quotations and full details, please refer to the original article.