Sony patents game streaming that prioritizes key objects for better quality
Sony describes a method for streaming video games by using a machine learning model to identify which objects in a scene are most important. The system then allocates higher video quality to these high-priority objects while using lower quality for less important parts, ensuring the most visible elements look sharp during transmission.
In the filing’s own words
As understood herein, not all objects in a computer game are of equal priority. Given this recognition, present principles apply a range of spatial and temporal resolutions to various objects in the same game depending on the priority of the objects in the game.
What exactly they claim (claim 1)
1. A method comprising: accessing a plurality of video frames of a video; analyzing a video frame of the plurality of video frames to identify a plurality of objects within the video frame; providing data corresponding to the plurality of objects to a machine learning model; receiving, from the machine learning model, priority level information for the plurality of objects; generating an encoded video by encoding portions of the video frame corresponding to the plurality of objects at encoding quality levels set based on the priority level information; and transmitting the encoded video over a network.
Facts
- Company
- Sony (Sony Interactive Entertainment Inc.)
- Official title
- TUNING UPSCALING FOR EACH COMPUTER GAME OBJECT AND OBJECT PORTION BASED ON PRIORITY
- Publication number
- US20260315929A1
- Application number
- 19464312
- Filed
- Jan 29, 2026
- Published
- Oct 15, 2026
- Inventors
- 2
- Claims
- 20
Classified under
A63F 13/57 Human necessitiesA63F 2300/66 Human necessitiesA63F 2300/6692 Human necessitiesMore from Sony in AI & software
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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.