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GooglePatent applicationAI & softwareInterest 6/10

Google patents method to fill gaps in panning videos with AI

Patent drawing
Patent drawing from the official filing.

Google describes a system that takes a video where a camera pans across a scene and uses a machine-learning model to create a full 360-degree view. The software identifies missing parts of the image and generates new pixels to fill those gaps, creating a seamless panoramic video.

Why it mattersThis could allow users to create immersive 360-degree videos from standard handheld camera footage without needing specialized panoramic cameras.

In the filing’s own words

A media application receives an input panning video that includes image frames captured with a camera that pans at least once from a first side to a second side. The media application includes reprojecting the input panning video onto a panoramic canvas, wherein the panoramic canvas includes the image frames and missing regions. The media application further includes outputting, with a generative machine-learning model, a panoramic video that includes synthesized pixels for the missing regions of the panoramic canvas by: generating a base video at a coarse temporal scale that includes the synthesized pixels for the missing regions and refining the base video by performing temporal upsampling, merging the temporally upsampled base video with the panoramic canvas, and resynthesizing the synthesized pixels for the missing regions in the base video.

What exactly they claim (claim 1)

1. A computer-implemented method comprising: receiving an input panning video that includes image frames captured with a camera that pans at least once from a first side to a second side; reprojecting the input panning video onto a panoramic canvas, wherein the panoramic canvas includes the image frames and missing regions; and outputting, with a generative machine-learning model, a panoramic video that includes synthesized pixels for the missing regions of the panoramic canvas, wherein the generative machine-learning model outputs the panoramic video by: generating a base video at a coarse temporal scale that includes the synthesized pixels for the missing regions; and refining the base video by performing temporal upsampling, merging the temporally upsampled base video with input pixels from the panoramic canvas, and resynthesizing the synthesized pixels for the missing regions.

Facts

Company
Google (Google LLC)
Official title
GENERATING PANORAMIC VIDEOS
Publication number
US20260320868A1
Application number
19485952
Filed
Dec 27, 2024
Published
Oct 15, 2026
Inventors
8
Claims
20

Classified under

G06T 11/60 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.