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Nvidia patents video compression using neural networks for streaming

Patent drawing
Patent drawing from the official filing.

Nvidia describes a method for compressing video data by using neural networks to identify key points in the footage. Instead of sending every frame, the sender transmits a key frame and these specific data points, allowing the receiver to reconstruct the video. This technique is designed to make video streaming, such as video conferencing, more efficient.

Why it mattersThis could lead to smoother video calls and lower bandwidth usage by sending less data while maintaining visual quality.

In the filing’s own words

Apparatuses, systems, and techniques to perform compression of video data using neural networks to facilitate video streaming, such as video conferencing. In at least one embodiment, a sender transmits to a receiver a key frame from video data and one or more keypoints identified by a neural network from said video data, and a receiver reconstructs video data using said key frame and one or more received keypoints.

What exactly they claim (claim 1)

1.- 20. (canceled)

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
VIDEO COMPRESSION USING NEURAL NETWORKS
Publication number
US20260332790A1
Application number
19390997
Filed
Nov 17, 2025
Published
Oct 22, 2026
Inventors
9
Claims
21

Classified under

H04N 19/20 Electricity & electronicsG06N 3/045 Physics & computingG06N 5/04 Physics & computingG06V 10/764 Physics & computingG06V 10/82 Physics & computingG06V 40/168 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.