Qualcomm incorporated (20240161487). ADAPTIVE MIXED-RESOLUTION PROCESSING simplified abstract
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 20240161487 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.
- Device divides input image into first tokens (higher resolution) and second tokens (lower resolution).
- Generates representations for tokens from each resolution corresponding to a specific region of the input image.
- Utilizes neural network model to determine the scale (resolution) for the region based on token representations.
- Processes the region of the input image according to the determined scale using a transformer neural network model.
Potential Applications
This technology could be applied in image processing, computer vision, and video compression applications.
Problems Solved
This technology addresses the challenge of efficiently processing images at different resolutions while maintaining image quality and detail.
Benefits
The adaptive mixed-resolution processing allows for more efficient processing of images with varying levels of detail, leading to improved performance and reduced computational resources.
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
One possible prior art for this technology could be the use of multi-resolution processing techniques in image compression algorithms.
Unanswered Questions
How does this technology compare to existing image processing methods?
This article does not provide a direct comparison between this technology and existing image processing methods.
What are the limitations of this adaptive mixed-resolution processing approach?
The article does not discuss any potential limitations or drawbacks of this adaptive mixed-resolution processing approach.
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.
