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Microsoft patents AI model that upscales compressed video data

Microsoft describes a system that uses a generative AI model to help decompress media files. The AI takes low-resolution compressed data and predicts the missing details to reconstruct a higher-resolution version, while a separate stream stores the exact differences to ensure accuracy.

Why it mattersThis approach could improve how video and images are stored and streamed by using AI to fill in visual details, potentially reducing file sizes without losing quality.

In the filing’s own words

A computer system performs operations to compress or decompress media using a generative artificial intelligence (“AI”) model. For compression, a compression tool receives a first version of input media, which has a first resolution, converts the first version to a second version, which has a second resolution lower than the first resolution, compresses the second version, and outputs compressed data for the second version. For decompression, a decompression tool receives input tokens that represent input syntax elements, respectively, of the compressed data for the second version. The decompression tool provides the input tokens to the generative AI model and receives predicted tokens from the generative AI model. The predicted tokens represent output syntax elements, respectively, of compressed data for output media. The decompression tool reconstructs the output media from the predicted tokens. The generative AI model is trained for media compression and decompression using a set of training data.

What exactly they claim (claim 1)

1. A computer system comprising a processor system and memory, wherein the computer system is configured to perform operations to compress media using a generative artificial intelligence (“AI”) model, the operations comprising: receiving a first version of input media, the first version having a first resolution; converting the first version to a second version of the input media, the second version having a second resolution lower than the first resolution; compressing the second version according to a media compression format, thereby producing compressed data for the second version; outputting the compressed data for the second version; receiving input tokens that represent input syntax elements, respectively, of the compressed data for the second version, wherein the input tokens are encoded in an input format for the generative AI model; providing, to the generative AI model, the input tokens; receiving, from the generative AI model, predicted tokens that represent output syntax elements, respectively, of compressed data for output media at the first resolution; reconstructing the output media from the predicted tokens; determining differences between the first version and the output media; compressing the differences, thereby producing compressed data for the differences; and outputting the compressed data for the differences for decompression as an augmentation stream.

Facts

Company
Microsoft (Microsoft Technology Licensing, LLC)
Official title
Media compression and decompression using a generative artificial intelligence model that accepts partially decompressed data as input
Patent number
US12739412B2
Application number
18421809
Filed
Jan 24, 2024
Granted
Sep 15, 2026
Inventors
2
Claims
20

Classified under

H04N 19/33 Electricity & electronicsH04N 19/31 Electricity & electronicsH04N 19/42 Electricity & electronicsH04N 19/503 Electricity & electronicsH04N 19/593 Electricity & electronicsH04N 19/70 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.