17949153. VIDEO FRAME BLENDING simplified abstract (NVIDIA Corporation)
Contents
- 1 VIDEO FRAME BLENDING
VIDEO FRAME BLENDING
Organization Name
Inventor(s)
Robert Thomas Pottorff of Layton UT (US)
Karan Sapra of San Jose CA (US)
Zhekun Luo of Santa Clara CA (US)
Andrew J. Tao of Los Altos CA (US)
Bryan Christopher Catanzaro of Los Altos Hills CA (US)
VIDEO FRAME BLENDING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17949153 titled 'VIDEO FRAME BLENDING
Simplified Explanation
The patent application describes apparatuses, systems, and techniques to process image frames using neural networks to blend video frames and generate intermediate frames.
- Neural networks are used to blend two or more video frames between a first and second video frame.
- Blended video frames are used to generate intermediate frames between the first and second video frames.
Potential Applications
This technology could be applied in:
- Video editing software
- Virtual reality and augmented reality applications
- Video game development
Problems Solved
- Smoother transitions between video frames
- Enhanced visual effects in videos
- Improved video quality
Benefits
- Higher quality video output
- More realistic visual effects
- Enhanced user experience
Potential Commercial Applications
"Enhancing Video Quality with Neural Networks" could be used in:
- Film production studios
- Video streaming services
- Video game companies
Possible Prior Art
One example of prior art in this field is the use of traditional video editing techniques to blend video frames and create intermediate frames. However, the use of neural networks for this purpose is a novel approach that offers improved results.
Unanswered Questions
How does this technology impact video production costs?
This article does not address the potential cost implications of implementing this technology in video production processes.
What are the limitations of using neural networks for blending video frames?
The article does not discuss any potential limitations or challenges associated with using neural networks for blending video frames.
Original Abstract Submitted
Apparatuses, systems, and techniques to process image frames. In at least one embodiment, one or more neural networks are used to blend two or more video frames between a first video frame and a second video frame. In at least one embodiment, a blended video frame is used to generate an intermediate video frame between the first video frame and the second video frame.
