Sony patents method to fix video glitches using motion data
Sony describes a system that uses a machine learning model to generate smooth video frames from 3D data. It identifies new objects appearing in a scene by checking depth and motion levels, then adjusts the data sent to the model to prevent visual errors.
In the filing’s own words
An image processing system identifies an appearing pixel among pixels of an n-th input frame and in an area in which a whole or part of an object that had not been displayed in an (n-1)-th input frame is displayed, acquires (n-1)-th auxiliary information by replacing a pixel value of the appearing pixel in (n-1)-th feature information with a predetermined value, acquires an (n-1)-th amount of motion indicating magnitude of motion in each pixel of the (n-1)-th input frame and an n-th amount of motion indicating magnitude of motion in each pixel of the n-th input frame, and, when the (n-1)-th amount of motion in a predetermined pixel in the (n-1)-th input frame is less than a first threshold and the n-th amount of motion in the predetermined pixel in the n-th input frame is less than a second threshold, does not identify the predetermined pixel as the appearing pixel.
What exactly they claim (claim 1)
1. An image processing system comprising: at least one processor; and computer-readable media storing instructions which, when executed by the at least one processor, cause the image processing system to perform operations comprising: acquiring first through n-th input frames by rendering three dimensional data indicating one or more objects and in which a virtual space is viewed from a predetermined viewpoint; and acquiring an n-th estimated frame that is to be output from a machine learning model as a result of an n-th input frame and (n-1)-th auxiliary information being input to the machine learning model, the (n-1)-th auxiliary information being based on (n-1)-th feature information indicating a feature of an (n-1)-th input frame, wherein acquiring the n-th estimated frame comprises: acquiring (n-1)-th depth information indicating a depth of each pixel of the (n-1)-th input frame and n-th depth information indicating a depth of each pixel of the n-th input frame; identifying, based on the (n-1)-th depth information and the n-th depth information, an appearing pixel that is among pixels of the n-th input frame and is in an area in which a whole or part of an object of the one or more objects not displayed in the (n-1)-th input frame; acquiring the (n-1)-th auxiliary information by replacing a pixel value of the appearing pixel in the (n-1)-th feature information with a predetermined value; acquiring an (n-1)-th amount of motion indicating magnitude of motion in each pixel of the (n-1)-th input frame and an n-th amount of motion indicating magnitude of motion in each pixel of the n-th input frame; and when the (n-1)-th amount of motion in a predetermined pixel in the (n-1)-th input frame is less than a first threshold and the n-th amount of motion in the predetermined pixel in the n-th input frame is less than a second threshold, input the n-th input frame and (n-1)-th auxiliary information to the machine learning model to acquire the n-th estimate frame.
Facts
- Company
- Sony (Sony Interactive Entertainment Inc.)
- Official title
- IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND INFORMATION STORAGE MEDIUM
- Publication number
- US20260301311A1
- Application number
- 19565968
- Filed
- Mar 13, 2026
- Published
- Oct 1, 2026
- Inventors
- 2
- Claims
- 9
Classified under
G06T 15/205 Physics & computingG06T 7/248 Physics & computingG06T 7/55 Physics & computingG06T 7/74 Physics & computingG06T 2200/04 Physics & computingMore 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.
