Nvidia corporation (20240104692). APPLICATION PROGRAMMING INTERFACE TO INDICATE FRAME INTERPOLATION SUPPORT simplified abstract
Contents
- 1 APPLICATION PROGRAMMING INTERFACE TO INDICATE FRAME INTERPOLATION SUPPORT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPLICATION PROGRAMMING INTERFACE TO INDICATE FRAME INTERPOLATION SUPPORT - 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
APPLICATION PROGRAMMING INTERFACE TO INDICATE FRAME INTERPOLATION SUPPORT
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 INDICATE FRAME INTERPOLATION SUPPORT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104692 titled 'APPLICATION PROGRAMMING INTERFACE TO INDICATE FRAME INTERPOLATION SUPPORT
Simplified Explanation
The patent application abstract describes apparatuses, systems, and techniques for processing image frames using neural networks for frame interpolation.
- An application programming interface (API) is used to indicate support for using one or more neural networks for frame interpolation.
Potential Applications
This technology could be applied in various fields such as:
- Video editing
- Animation
- Virtual reality
Problems Solved
The technology solves the following problems:
- Improving image quality in video frames
- Enhancing visual effects in animations
- Providing smoother transitions in virtual reality environments
Benefits
The benefits of this technology include:
- Higher quality image interpolation
- Enhanced visual experience for viewers
- Increased efficiency in image processing tasks
Potential Commercial Applications
The technology could be commercially applied in industries such as:
- Entertainment
- Gaming
- Broadcasting
Possible Prior Art
One possible prior art for this technology could be existing image processing techniques using traditional algorithms for frame interpolation.
Unanswered Questions
How does this technology compare to traditional frame interpolation methods?
This article does not provide a direct comparison between this technology and traditional frame interpolation methods.
What are the limitations of using neural networks for frame interpolation?
The article does not address the potential limitations or challenges of using neural networks for frame interpolation.
Original Abstract Submitted
apparatuses, systems, and techniques to process image frames. in at least one embodiment, an application programming interface (api) is performed to indicate support to use one or more neural networks to perform frame interpolation.
