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AmazonGranted patentAI & softwareInterest 6/10

Amazon patents method to merge multiple product photos into one digital profile

Amazon has been granted a patent for a system that combines several photos of the same item into a single digital description. The process looks at each image one by one, keeping details that appear in all photos while ignoring unique angles or lighting differences.

Why it mattersThis could make online shopping searches more accurate by helping computers understand what an object actually looks like, rather than just matching keywords.

In the filing’s own words

A single latent representation is generated based on multiple images of an item using an iterative process that sequentially updates the latent representation as each image is processed. A first image is encoded and used to initialize a first latent representation. A second image is encoded and a cross-attention operation is performed based on the first latent representation and the representation of the encoded second image. This process is repeated for each subsequent image. Once all images of the item have been processed in this manner, the final latent representation may represent characteristics common to the images of the item while de-prioritizing characteristics not common to the images. The single latent representation may then be used for subsequent image-based search operations.

What exactly they claim (claim 1)

1. A system comprising: one or more non-transitory memories storing computer-executable instructions; and one or more hardware processors to execute the computer-executable instructions to: receive a first plurality of images that depict a first item; encode a first image of the first plurality of images using an image encoder to determine a first image representation; determine a first latent representation based on the first image representation; encode a second image of the first plurality of images using the image encoder to determine a second image representation; and determine a second latent representation based on the first latent representation, the second image representation, a cross-attention operation, and a weight parameter, wherein: the weight parameter associates a first weight with the first latent representation and a second weight with the second image representation, and the cross-attention operation associates a third weight with a first portion of the second image representation associated with a first characteristic common to the first image and the second image, and a fourth weight less than the third weight with a second portion of the second image representation.

Facts

Company
Amazon (AMAZON TECHNOLOGIES, INC.)
Official title
Machine learning systems for generating representations based on multiple images of an object
Patent number
US12749287B1
Application number
18740256
Filed
Jun 11, 2024
Granted
Sep 29, 2026
Inventors
5
Claims
20

Classified under

G06V 10/761 Physics & computingG06V 10/774 Physics & computing
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.