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AmazonPatent applicationAI & softwareInterest 6/10

Amazon patents video compression that sends AI tweaks to your device

Amazon describes a method where a server compresses video and uses an AI model to create specific settings, or parameters, for improving image quality. These settings are sent along with the video data to the viewer's device, which uses its own copy of the AI model to reconstruct the picture.

Why it mattersThis approach could help streaming services deliver high-quality video with less data by letting the viewer's device handle part of the image processing.

In the filing’s own words

The present disclosure relates to methods, apparatus, systems, and non-transitory computer-readable storage media for utilizing machine learning model parameters in a bitstream of a compressed video. According to some examples, a computer-implemented method includes receiving a video comprising a frame at a content delivery service; performing an encode on the frame of the video by the content delivery service that converts the frame from a pixel domain to a transform domain and back to the pixel domain to generate first pixel values for a block of the frame; generating a first set of features at a first resolution, by a machine learning model of the content delivery service, for a first input at the first resolution of the first pixel values for the block; generating a second set of features at a second lower resolution than the first resolution, by the machine learning model of the content delivery service, for a second input based on the first pixel values for the block; upsampling the second set of features to the first resolution to generate an upsampled second set of features; generating, by the machine learning model of the content delivery service, a modified version of the frame based on the first set of features and the upsampled second set of features; generating one or more model parameters for the machine learning model based on the modified version of the frame; and transmitting the one or more model parameters for the machine learning model and an encoded frame of the encode from the content delivery service to a viewer device comprising an instance of the machine learning model.

What exactly they claim (claim 1)

1. A computer-implemented method comprising: receiving a video comprising a frame at a content delivery service; performing an encode on the frame of the video by the content delivery service that converts the frame from a pixel domain to a transform domain and back to the pixel domain to generate first pixel values for a block of the frame; generating a first set of features at a first resolution, by a machine learning model of the content delivery service, for a first input at the first resolution of the first pixel values for the block; generating a second set of features at a second lower resolution than the first resolution, by the machine learning model of the content delivery service, for a second input based on the first pixel values for the block; upsampling the second set of features to the first resolution to generate an upsampled second set of features; generating, by the machine learning model of the content delivery service, a modified version of the frame based on the first set of features and the upsampled second set of features; generating one or more model parameters for the machine learning model based on the modified version of the frame; and transmitting the one or more model parameters for the machine learning model and an encoded frame of the encode from the content delivery service to a viewer device comprising an instance of the machine learning model.

Facts

Company
Amazon (Amazon Technologies, Inc.)
Official title
COMPUTER-IMPLEMENTED METHOD AND APPARATUS FOR UTILIZING MACHINE LEARNING MODEL PARAMETERS IN A BITSTREAM OF A COMPRESSED VIDEO
Publication number
US20260270452A1
Application number
19072989
Filed
Mar 6, 2025
Published
Sep 10, 2026
Inventors
3
Claims
20

Classified under

H04N 19/30 Electricity & electronicsH04N 19/124 Electricity & electronicsH04N 19/176 Electricity & electronicsH04N 19/42 Electricity & electronics
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.