18106966. APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION simplified abstract (NVIDIA Corporation)

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APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION

Organization Name

NVIDIA Corporation

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 18106966 titled 'APPLICATION PROGRAMMING INTERFACE TO DISABLE FRAME INTERPOLATION

Simplified Explanation

The patent application abstract describes apparatuses, systems, and techniques to process image frames using one or more neural networks by disabling frame interpolation through an application programming interface (API).

  • Explanation of the patent/innovation:
   * An API is used to disable frame interpolation in processing image frames.
   * One or more neural networks are utilized in the image frame processing.

Potential applications of this technology:

  • This technology can be applied in video editing software to enhance the quality of video frames.
  • It can also be used in medical imaging to improve the clarity of diagnostic images.

Problems solved by this technology:

  • Eliminates artifacts caused by frame interpolation in image processing.
  • Enhances the accuracy and detail of processed image frames.

Benefits of this technology:

  • Improved image quality and clarity.
  • More efficient and accurate image processing.

Potential commercial applications of this technology:

Enhanced Image Processing in Video Editing Software

Possible prior art:

  • Prior art may include patents related to image processing techniques using neural networks.
  • Existing technologies in video editing software that optimize image quality.

Questions:

How does this technology compare to traditional frame interpolation methods in image processing?

This article does not provide a direct comparison between this technology and traditional frame interpolation methods. It would be helpful to understand the specific advantages and disadvantages of each approach.

Are there any limitations to the use of neural networks in processing image frames?

The article does not address any potential limitations or challenges associated with using neural networks for image frame processing. It would be beneficial to explore any constraints or drawbacks that may arise when implementing this technology.


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.