18106974. APPLICATION PROGRAMMING INTERFACE TO CAUSE PERFORMANCE OF FRAME INTERPOLATION simplified abstract (NVIDIA Corporation)
Contents
- 1 APPLICATION PROGRAMMING INTERFACE TO CAUSE PERFORMANCE OF FRAME INTERPOLATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPLICATION PROGRAMMING INTERFACE TO CAUSE PERFORMANCE OF 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 Original Abstract Submitted
APPLICATION PROGRAMMING INTERFACE TO CAUSE PERFORMANCE OF 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 CAUSE PERFORMANCE OF FRAME INTERPOLATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18106974 titled 'APPLICATION PROGRAMMING INTERFACE TO CAUSE PERFORMANCE OF FRAME INTERPOLATION
Simplified Explanation
The patent application abstract describes apparatuses, systems, and techniques for processing image frames using a neural network-based frame interpolation method.
- Frame interpolation is performed using one or more neural networks.
- An application programming interface (API) is utilized to enable the frame interpolation process.
Potential Applications
The technology can be applied in various fields such as:
- Video editing
- Animation
- Virtual reality
Problems Solved
This technology addresses the following issues:
- Enhancing the quality of interpolated frames
- Improving the smoothness of video playback
Benefits
The benefits of this technology include:
- Higher quality interpolated frames
- Seamless video playback experience
Potential Commercial Applications
This technology can be commercially applied in industries such as:
- Entertainment
- Gaming
- Broadcasting
Possible Prior Art
Prior art in frame interpolation methods using neural networks may include:
- Research papers on deep learning-based frame interpolation techniques
- Existing patents related to video processing algorithms
Unanswered Questions
How does this technology compare to traditional frame interpolation methods?
This technology utilizes neural networks for frame interpolation, which may result in higher quality interpolated frames compared to traditional methods that rely on mathematical algorithms.
What are the computational requirements for implementing this technology?
The computational resources needed to run neural network-based frame interpolation may vary depending on the complexity of the network and the size of the input frames.
Original Abstract Submitted
Apparatuses, systems, and techniques to process image frames. In at least one embodiment, an application programming interface (API) is performed to cause frame interpolation to be performed using one or more neural networks.
