Samsung patents AI system that answers questions about image quality
Samsung describes a method that uses a large language model to evaluate images by combining text descriptions of quality issues, visual data, and specific quality indicators. The system processes these different types of information together to generate a direct answer to a question about the image's quality.
In the filing’s own words
A processor-implemented method including extracting a target textual embedding corresponding to a target quality issue description related to at least two target images through a text encoder of an image quality assessment (IQA) model, extracting a target visual embedding for the at least two target images through a visual encoder of the IQA model, extracting a target quality embedding corresponding to at least one quality indicator for the at least two target images through a quality enhancer of the IQA model, obtaining a target concatenated embedding by concatenating the target textual embedding, the target visual embedding of the at least two target images, and the target quality embedding, and predicting a QA target answer for the at least two target images through a large language model (LLM) of the IQA model based on the target concatenated embedding.
What exactly they claim (claim 1)
1. A processor-implemented method, the method comprising: extracting a target textual embedding corresponding to a target quality issue description related to at least two target images through a text encoder of an image quality assessment (IQA) model; extracting a target visual embedding for the at least two target images through a visual encoder of the IQA model; extracting a target quality embedding corresponding to at least one quality indicator for the at least two target images through a quality enhancer of the IQA model; obtaining a target concatenated embedding by concatenating the target textual embedding, the target visual embedding of the at least two target images, and the target quality embedding; and predicting a QA target answer for the at least two target images through a large language model (LLM) of the IQA model based on the target concatenated embedding.
Facts
- Company
- Samsung (Samsung Electronics Co., Ltd.)
- Official title
- METHOD AND DEVICE WITH IMAGE QUALITY ASSESSMENT
- Publication number
- US20260268655A1
- Application number
- 19545683
- Filed
- Feb 20, 2026
- Published
- Sep 10, 2026
- Inventors
- 6
- Claims
- 20
Classified under
G06V 10/993 Physics & computingG06V 10/774 Physics & computingG06V 10/82 Physics & computingMore from Samsung in AI & software
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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.