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SamsungGranted patentAI & softwareInterest 6/10

Samsung patents image tool that highlights key areas using text descriptions

This patent describes a system that uses a neural network to analyze an image and generate a text description of its contents. It then converts that text into a visual guide to help a second network identify and highlight specific regions of interest within the original image.

Why it mattersThis technology could improve how software automatically focuses on important parts of photos or videos, potentially aiding in search or editing tools.

In the filing’s own words

An electronic apparatus includes a memory configured to store a neural network model including a first network and a second network. The electronic apparatus also includes at least one processor connected to the memory. The at least one processor is configured to obtain description information corresponding to a first image by inputting the first image to the first network, obtain a second image based on the description information, obtain a third image representing a region of interest of the first image by inputting the first image and the second image to the second network. The neural network model is a model trained based on a plurality of sample images, a plurality of sample description information corresponding to the plurality of sample images, and a sample region of interest of the plurality of sample images.

What exactly they claim (claim 1)

1. An electronic apparatus, comprising: a memory configured to store a neural network model comprising a first network and a second network, wherein the neural network model comprises weights; and at least one processor connected to the memory and configured to control the electronic apparatus, wherein the at least one processor is configured to: obtain first description information corresponding to a first image by inputting the first image to the first network using the weights, obtain a second image based on the first description information, and obtain a third image representing a first region of interest of the first image by inputting the first image and the second image to the second network using the weights, wherein the weights of the neural network model are trained based on: i) a plurality of sample images, ii) a plurality of sample description information corresponding to the plurality of sample images, and iii) a sample region of interest for each sample image of the plurality of sample images, and wherein the first description information comprises at least one word and the at least one processor is further configured to obtain the second image by converting each word of the at least one word to a corresponding color.

Facts

Company
Samsung (SAMSUNG ELECTRONICS CO., LTD.)
Official title
Electronic apparatus for identifying a region of interest in an image and control method thereof
Patent number
US12770383B2
Application number
18367193
Filed
Sep 12, 2023
Granted
Oct 20, 2026
Inventors
4
Claims
20

Classified under

G06V 10/82 Physics & computingG06T 3/40 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.