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SamsungGranted patentAI & softwareInterest 6/10

Samsung patents method to highlight image areas using text-to-color conversion

Samsung describes an electronic device that uses a neural network to identify specific parts of an image. The system generates a description of the picture, converts words in that description into colors to create a second image, and combines both to isolate a region of interest.

Why it mattersThis approach could help software automatically focus on relevant details in photos or videos without needing manual tagging.

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
US12738043B2
Application number
18367193
Filed
Sep 12, 2023
Granted
Sep 15, 2026
Inventors
4
Claims
20

Classified under

G06V 10/82 Physics & computingG06T 3/40 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.