Adobe · Filed Apr 17, 2025 · Published Oct 22, 2026

Adobe Wins a Patent for Carrying Video Graphics Over to a Fresh Take

Adobe has been granted a patent for editing software that takes the graphics you placed on one video and drops them onto a re-shot version, matched to what the speaker says and where they stand.

An automated video editor tracks spoken words and body poses to carry on-screen graphics over to a new recording take. Drawing from patent filing US 2026/0332836 A1.
An automated video editor tracks spoken words and body poses to carry on-screen graphics over to a new recording take.
See all 11 drawings from this filing ↓
Publication number US 2026/0332836 A1 US20260332836A1
Applicant Adobe Inc.
Filing date Apr 17, 2025
Publication date Oct 22, 2026
Inventors Stephen Joseph DiVerdi, Mackenzie Marie Leake, Joshua Kong Yang
US classification 725/116
Examiner BANTAMOI, ANTHONY (Art Unit 2422)
Status when we published Granted (Sep 23, 2026)
Document 20 claims

What Adobe's video graphics retargeting does

A video creator spends an afternoon placing a picture of a lemon pie right when the host says 'lemon.' Then the host re-films the scene, talks a little faster and stands off to one side, and every graphic lands in the wrong spot. If you have ever edited a video, you know the next step: do it all over again.

Adobe has now been granted a patent for software that does the redo for you. It reads what is said in both versions, finds the matching moment in the new one (even when the wording changed), and places each graphic there. It also shifts graphics out of the way so they don't cover the speaker's face or body.

The filing says this could work across different takes, different speakers, different languages, and even wide versus vertical video.

From the filing · CLAIM 1
identifying at least one asset and associated source lexical data based on a source video; identifying corresponding target lexical data based on a target video; determining at least one asset retargeting time associated with the at least one asset using the source lexical data and the target lexical data; …

Translation: The software compares words from a source video and a target video to figure out when graphics should reappear.

How the patent matches words, hands and space

The system starts with two videos: a finished one with graphics already placed (the source) and a new take of the same scene (the target). Speech recognition turns both into transcripts. For each graphic, the system records the word it is tied to and the phrase around it, which the filing calls lexical data.

A large language model (an AI trained on huge amounts of text) then finds the matching spot in the new transcript by meaning, so rephrased lines, swapped order and even another language can still match. The graphic keeps the same delay after the matched word that it had before. Optional hand tracking can nudge the timing so a graphic pops up as the speaker waves.

Placement comes next. The graphic starts in its old position, and the system checks whether it overlaps boxes drawn around the speaker's face and torso:

  • Simple rules go first: mirror it across the frame, snap it to the screen edges, center it, or scale it.
  • If graphics still collide, integer programming (a math method that guarantees no overlap) finds a layout close to the rule-based spot.
  • If no layout works, it relaxes the torso rule first, then the face.
From the filing · THE ABSTRACT
At least one asset retargeting position associated with the at least one asset is determined based on the at least one asset retargeting time and the target video. The at least one asset is added to the target video using the at least one asset retargeting time and the at least one asset retargeting position.

Translation: It calculates exactly where on the screen the graphic should go and inserts it into the new video.

Why re-shooting a video gets less painful

If you make videos for a living, or just for a channel, re-shooting a line often means redoing every overlay by hand. This patent describes automating that, and the same trick could cover a translated version, a vertical clip for social media, or a cut with a different host. The filing pictures it as a button inside a video editor.

It is already a granted patent, though the final granted claims may read a little differently from the published application described here. The filing points to video editing apps as the natural home for this, but it does not name a specific product.

Adobe's 48th filing we've tracked in the AI photo editing race since May adds to a run that includes a fix for drifting video edits and context-aware photo suggestions.

Editorial take

The price of this design is that it leans on spoken words. Each graphic is tied to a word and the phrase around it, so a video with little talking gives the system little to hold onto.

An AI model also has to decide which sentence in the new take means the same thing as the old one, and the filing sets its randomness low to keep answers consistent. Hand tracking is added to fix leftover timing errors, which tells you the first pass is not always right. When graphics cannot all fit, the system lets them cover the speaker's torso first, then the face.

Those are fair costs. An editor who spends a few minutes checking the result still beats one who re-places every graphic by hand, so the trade reads as worth it.

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The drawings

11 drawing sheets from US 2026/0332836 A1 · click any drawing to enlarge

How graphics automatically shift over to a new video take, drawing sheet 1 from US 2026/0332836 A1
Sheet 1 How graphics automatically shift over to a new video take
Matching visual elements to spoken words and actor movements, drawing sheet 2 from US 2026/0332836 A1
Sheet 2 Matching visual elements to spoken words and actor movements
Syncing graphic timing using speech transcripts and actor gestures, drawing sheet 3 from US 2026/0332836 A1
Sheet 3 Syncing graphic timing using speech transcripts and actor gestures
An AI model links graphics to matching words across takes, drawing sheet 4 from US 2026/0332836 A1
Sheet 4 An AI model links graphics to matching words across takes
Waiting for a hand wave before popping up text, drawing sheet 5 from US 2026/0332836 A1
Sheet 5 Waiting for a hand wave before popping up text
Rearranging on-screen elements to prevent them from blocking the actor, drawing sheet 6 from US 2026/0332836 A1
Sheet 6 Rearranging on-screen elements to prevent them from blocking the actor
Moving graphics cleanly between horizontal and vertical video, drawing sheet 7 from US 2026/0332836 A1
Sheet 7 Moving graphics cleanly between horizontal and vertical video
A button that transfers graphics to a new take, drawing sheet 8 from US 2026/0332836 A1
Sheet 8 A button that transfers graphics to a new take
Show the other 3 sheets
Software parts that coordinate AI models, video files, and graphics, drawing sheet 9 from US 2026/0332836 A1
Sheet 9 Software parts that coordinate AI models, video files, and graphics
Steps for moving graphics to new spoken words and positions, drawing sheet 10 from US 2026/0332836 A1
Sheet 10 Steps for moving graphics to new spoken words and positions
Computer hardware that runs the video editing system, drawing sheet 11 from US 2026/0332836 A1
Sheet 11 Computer hardware that runs the video editing system
Browse all the drawings 11 drawing sheets
Patent filing page

Source. Full patent text and figures from the official USPTO publication PDF.
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