Samsung patents AI tool to measure video complexity on your device
Samsung describes a method that runs a small AI model directly on a phone or computer to analyze a video frame. The model estimates how much data is needed to save that frame, which helps determine how visually detailed or complex the image is without needing to process the entire video file.
In the filing’s own words
A method includes inputting an image into a convolutional neural network (CNN) model. The method also includes estimating, using the CNN model, encoding I-frame bits per pixel for the image. The method also includes measuring, using a defined metric based on the estimated encoding I-frame bits per pixel, a spatial complexity of the image independent from a resolution of the image. The method also includes outputting the spatial complexity of the image.
What exactly they claim (claim 1)
1. A method comprising: inputting an image into a convolutional neural network (CNN) model; estimating, using the CNN model, encoding intra-frame (I-frame) bits per pixel for the image; measuring, using a defined metric based on the estimated encoding I-frame bits per pixel, a spatial complexity of the image independent from a resolution of the image; and outputting the spatial complexity of the image.
Facts
- Company
- Samsung (Samsung Electronics Co., Ltd.)
- Official title
- ON-DEVICE CNN MODEL FOR PREDICTING SPATIAL COMPLEXITY OF VIDEO FRAMES
- Publication number
- US20260311311A1
- Application number
- 19460073
- Filed
- Jan 26, 2026
- Published
- Oct 8, 2026
- Inventors
- 2
- Claims
- 20
Classified under
G06T 7/0002 Physics & computingG06N 3/0464 Physics & computingG06N 3/0495 Physics & computingG06N 3/082 Physics & computingG06N 3/096 Physics & computingG06T 2207/20081 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.