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GooglePatent applicationAI & softwareInterest 6/10

Google patents ads that reshape and fill gaps to fit web pages

Google describes a system that changes the shape of digital ads to fit specific spaces on a webpage without covering important content. It uses a deep learning model to generate background images that fill the empty space around the reshaped ad, making it blend into the page's visual style.

Why it mattersThis could make online advertisements look less like distinct boxes and more like part of the website design, potentially improving the user experience while keeping ads visible.

In the filing’s own words

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for blending content from different domains. A method includes obtaining, from a given content provider, a set of text and a set of images that are designated for combination to create a digital component. A saliency model is applied to an electronic document to identify salient areas in the electronic document. A set of modifications that do not result in the salient areas in the electronic document being overlapped are constructed. Visual characteristics of the electronic document are determined. A request for content to integrate into the electronic document that is provided by a different domain than the digital component is received. Visual modifications are made to the digital component based on (i) the constructed set of modifications and (ii) the determined visual characteristics of the electronic document. The modified digital component is served.

What exactly they claim (claim 1)

1. A method, comprising: obtaining, by one or more processors and from a given content provider, a set of text and a set of images that are designated for combination to create a digital component; determining, by the one or more processors, a target zone in an electronic document available for presentation of the digital component; determining dimensions of the target zone; modifying a shape of the digital component to a target shape that is different from an original shape of the digital component, wherein the target shape is sized to fit within the target zone such that less than all of the target zone is occupied by the digital component having the target shape; selecting, by the one or more processors, fill content to occupy areas of the target zone that are not occupied by the digital component having the target shape, wherein selecting the fill content comprises using a deep learning model to generate content to fill the areas of the target zone not occupied by the digital component; visually modifying, by the one or more processors, the digital component by applying the target shape and inserting the selected fill content into the areas of the target zone that are not occupied by the digital component; and serving, by the one or more processors, the digital component to a client device as visually modified by the one or more processors.

Facts

Company
Google (Google LLC)
Official title
CROSS-DOMAIN CONTENT BLENDING
Publication number
US20260289874A1
Application number
19694035
Filed
Jun 1, 2026
Published
Sep 24, 2026
Inventors
1
Claims
20

Classified under

G06T 11/60 Physics & computingG06T 11/23 Physics & computingG06V 10/764 Physics & computingG06V 30/413 Physics & computingG11B 27/10 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.