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Microsoft patents system that writes detailed image descriptions

Microsoft has filed a patent for a system that creates detailed paragraph descriptions of images. It uses one AI model to identify objects in the picture, a second model to write several draft descriptions, and a third model to check each draft against the image to remove inaccurate sentences before selecting the best one.

Why it mattersThis could improve how social media or news sites automatically generate text for photos, making them more accurate and tailored to specific platforms.

In the filing’s own words

Example solutions for image paragraph captioning use a first vision language model to generate visual information (comprising text) for an image. The visual information may include tags, an initial image caption, and information on objects within the image (e.g., further tags and captions, and object attributes and locations within the image). In some examples, the visual information further includes visual clues. A generative language model generates a plurality of image story caption candidates (e.g., descriptive paragraphs) from the visual information. A second vision language model evaluates the plurality of image story caption candidates and selects a caption as the final output caption.

What exactly they claim (claim 1)

1. A system comprising: a plurality of processors; and a computer storage medium storing instructions that, when executed across the plurality of processors, cause the system to: receive, by a first vision language model, a request for a story caption of an image, the request comprising a caption focus for the image, the caption focus comprising instructions for a format of the story caption, the format being based on a platform the requested story caption is presented in; generate, by the first vision language model, for the image, visual information comprising an image tag and a visual clue constructed from the image tag; based on at least the caption focus, generate, by a generative language model, from the visual information, a plurality of image story caption candidates, wherein each of the plurality of image story caption candidates comprise a coherent paragraph of natural-language text describing the image; for each image story caption candidate of the plurality of image story caption candidates, perform, by a second vision language model, the following: parse the image story caption candidate into a plurality of sentences; for each sentence of the plurality of sentences, measure a similarity between the image and each sentence of the plurality of sentences; remove any sentence from the plurality of sentences with a similarity score below a similarity threshold; and update the image storage caption candidate based on the removing, wherein the updated image story caption comprises an updated coherent paragraph of natural-language text describing the image without any of the sentences having a similarity score below the similarity threshold; and based on at least an evaluation of the image and the plurality of image story caption candidates by the second vision language model, select a caption from among the plurality of image story caption candidates.

Facts

Company
Microsoft (Microsoft Technology Licensing, LLC)
Official title
IMAGE PARAGRAPH GENERATOR
Publication number
US20260268699A1
Application number
19666002
Filed
May 1, 2026
Published
Sep 10, 2026
Inventors
3
Claims
20

Classified under

G06V 20/70 Physics & computingG06F 40/40 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.