USPTO Grants Google AI Image-Text Embedding Patent
Summary
The USPTO granted patent US12608418B2 to Google LLC on April 21, 2026, covering methods for training image-text embedding models using training data that includes image pairs and selection data indicating co-click rates and similar-image click rates. The patent lists ten inventors including Zhen Li, Yi-Ting Chen, and Da-Cheng Juan.
What changed
The USPTO issued patent US12608418B2 to Google LLC covering methods and systems for training image embedding models. The training data includes image pairs with selection data indicating co-click rates and similar-image click rates, which are used to train model parameters. The patent contains 20 claims.
Technology companies developing image search, visual search, or multimodal AI systems should consider reviewing this patent for prior art and freedom-to-operate purposes. The patent does not create immediate compliance obligations but represents part of the growing IP landscape around AI-driven image-text matching. No regulatory action is required.
Archived snapshot
Apr 21, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Training image and text embedding models
Grant US12608418B2 Kind: B2 Apr 21, 2026
Assignee
GOOGLE LLC
Inventors
Zhen Li, Yi-Ting Chen, Yaxi Gao, Da-Cheng Juan, Aleksei Timofeev, Chun-Ta Lu, Futang Peng, Sujith Ravi, Andrew Tomkins, Thomas J. Duerig
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an image embedding model. In one aspect, a method comprises: obtaining training data comprising a plurality of training examples, wherein each training example comprises: an image pair comprising a first image and a second image; and selection data indicating one or more of: (i) a co-click rate of the image pair, and (ii) a similar-image click rate of the image pair; and using the training data to train an image embedding model having a plurality of image embedding model parameters.
CPC Classifications
G06N 3/084 G06N 3/0427 G06N 3/0445 G06F 16/538 G06F 16/9538 G06F 16/55 G06K 9/6215 G06K 9/6254 G06K 9/6257
Filing Date
2024-06-12
Application No.
18741082
Claims
20
Mentioned entities
Parties
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