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NvidiaGranted patentAI & softwareInterest 6/10

Nvidia patents method to find objects in images using multiple compressed views

Nvidia describes a technique for identifying specific areas in an image by creating several smaller, compressed versions of the picture. It runs different machine learning models on these smaller versions at the same time to pinpoint where an object is located. Once the models agree on the location, the system extracts that specific part from the original image.

Why it mattersThis approach could help computers process images faster by analyzing smaller, simplified versions of data rather than full-resolution pictures every time.

In the filing’s own words

Apparatuses, systems, and techniques to segment a region of interest in an input data for a machine learning model by obtaining a plurality of progressively compressed representations of the input data and processing at least two of the compressed representations to obtain matching locations of a region of interest of the input data.

What exactly they claim (claim 1)

1. A method comprising: generating a plurality of compressed representations of an input image; processing, in parallel, the plurality of compressed representations of the input image using a plurality of machine learning models (MLMs), wherein a respective MLM of the plurality of MLMs is used to process a respective compressed representation of the plurality of compressed representations of the input image to estimate a location of a region of interest (ROI) in the respective compressed representation of the input image, and wherein a number of neurons in an input layer of the respective MLM corresponds to a number of pixels of the respective compressed representation; and responsive to at least a predetermined number of the estimated locations of the ROI satisfying a matching condition, generating an image of the ROI based on the input image and one or more of the estimated locations.

Facts

Company
Nvidia (NVIDIA Corporation)
Official title
Directed inferencing using input data transformations
Patent number
US12738014B2
Application number
17990508
Filed
Nov 18, 2022
Granted
Sep 15, 2026
Inventors
1
Claims
20

Classified under

G06V 10/267 Physics & computingG06T 1/20 Physics & computingG06V 10/774 Physics & computing

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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.