Nvidia corporation (20240095881). APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION simplified abstract
Contents
- 1 APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION - 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 Unanswered Questions
- 1.11 Original Abstract Submitted
APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION
Organization Name
Inventor(s)
Robert Thomas Pottorff of Layton UT (US)
Karan Sapra of San Jose CA (US)
Andrew Leighton Edelsten of Morgan Hill CA (US)
APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095881 titled 'APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION
Simplified Explanation
The patent application describes apparatuses, systems, and techniques for processing image frames. In one embodiment, an application programming interface (API) is used to disable frame interpolation and utilize one or more neural networks.
- Image processing technology involving disabling frame interpolation using neural networks
- Utilization of an application programming interface (API) to implement the image processing techniques
Potential Applications
The technology could be applied in various fields such as:
- Video editing
- Surveillance systems
- Medical imaging
Problems Solved
The technology helps in:
- Improving image quality
- Enhancing video processing speed
Benefits
The benefits of this technology include:
- Enhanced image processing capabilities
- Improved accuracy in image analysis
Potential Commercial Applications
This technology could be utilized in:
- Video editing software
- Security camera systems
- Medical imaging devices
Possible Prior Art
One possible prior art could be the use of traditional image processing techniques for frame interpolation in video processing.
Unanswered Questions
How does the technology compare to existing image processing methods?
The article does not provide a direct comparison to traditional image processing methods.
What specific neural networks are used in the image processing techniques?
The article does not specify the neural networks utilized in the image processing methods.
Original Abstract Submitted
apparatuses, systems, and techniques to process image frames. in at least one embodiment, an application programming interface (api) is performed to disable frame interpolation to use one or more neural networks.
