ETRI Unveils Full-Scale Video Transmission Technology for AI Reading
AI TIMES ·
✦ AI Summary
According to AI TIMES, ETRI will unveil three core next-generation media technologies at KES 2026, which opens on Oct. 13, including video e…
According to AI TIMES, ETRI will unveil three core next-generation media technologies at KES 2026, which opens on Oct. 13, including video encoding technology tailored for AI analysis. The key is a method that more efficiently compresses and transmits the information AI needs to detect, classify, and track objects, rather than prioritizing image quality that looks good to humans. Instead of sending the entire video, the approach extracts and delivers only the feature information needed for analysis, aiming to reduce network burden while maintaining AI video understanding performance. At the venue, ETRI will also demonstrate the process of extracting, compressing, and transmitting feature information from real-world video. The technologies to be showcased together are focused on realizing photorealistic 3D humans with a small number of cameras and helping pre-production teams build scenes in a 3D space in advance. ETRI plans to use this unveiling as an opportunity to accelerate intelligence across the media industry, from content production to transmission and utilization, while also expanding technological cooperation and commercialization.
Perspective
The significance of this unveiling lies in the shift of the reference point for media technology from human viewing experience to the efficiency of AI interpretation. In an environment where video is no longer just content but material for machine judgment, the competitive edge comes less from how clearly it looks and more from how well it can be read and how quickly it can move. If AI-centered tools expand into production and reconstruction as well, the media industry is likely to change not only its outputs but also the way it is made and distributed.
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
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