18478714. ADAPTIVE MIXED-RESOLUTION PROCESSING simplified abstract (QUALCOMM Incorporated)
Contents
- 1 ADAPTIVE MIXED-RESOLUTION PROCESSING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ADAPTIVE MIXED-RESOLUTION PROCESSING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ADAPTIVE MIXED-RESOLUTION PROCESSING
Organization Name
Inventor(s)
Jakob Drachmann Havtorn of Copenhagen (DK)
Amelie Marie Estelle Royer of Amsterdam (NL)
Tijmen Pieter Frederik Blankevoort of Amsterdam (NL)
Babak Ehteshami Bejnordi of Amsterdam (NL)
ADAPTIVE MIXED-RESOLUTION PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18478714 titled 'ADAPTIVE MIXED-RESOLUTION PROCESSING
Simplified Explanation
The patent application describes systems and techniques for adaptive mixed-resolution processing, where an input image is divided into tokens of different resolutions and processed using neural network models.
- The device divides an input image into first tokens with a first resolution and second tokens with a second resolution.
- It generates representations for the tokens from each resolution corresponding to a specific region of the input image.
- A neural network model processes the token representations to determine the scale for the region of the input image.
- A transformer neural network model processes the region of the input image according to the determined scale.
Potential Applications
This technology could be applied in image processing, computer vision, and video analysis applications.
Problems Solved
This technology solves the problem of efficiently processing images at different resolutions without losing important details.
Benefits
The benefits of this technology include improved image processing efficiency, better preservation of image details, and enhanced performance in various applications.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of advanced image processing software for industries such as healthcare, security, and entertainment.
Possible Prior Art
Prior art in the field of image processing and neural networks may include similar techniques for adaptive resolution processing, but the specific combination of methods described in this patent application may be novel.
Unanswered Questions
How does this technology compare to existing methods for mixed-resolution processing?
This article does not provide a direct comparison to existing methods for mixed-resolution processing, leaving the reader to wonder about the specific advantages and limitations of this new approach.
What are the potential limitations or challenges in implementing this technology in real-world applications?
The article does not address the potential limitations or challenges that may arise when implementing this technology in practical settings, leaving room for speculation on the feasibility and scalability of the proposed methods.
Original Abstract Submitted
Systems and techniques are described for adaptive mixed-resolution processing. According to some aspects, a device can divide an input image into first tokens having a first resolution and second tokens having a second resolution. The device can generate first token representations for token(s) from the first tokens corresponding to a first region of the input image and generate second token representations for token(s) from the second tokens corresponding to the first region of the input image. The device can process, using a neural network model, the first token representations and the second token representations to determine the first resolution or the second resolution as a scale for the first region of the input image. The device can process, using a transformer neural network model, the first region of the input image according to the scale for the first region.
