Nvidia corporation (20240095989). VIDEO GENERATION TECHNIQUES simplified abstract
Contents
- 1 VIDEO GENERATION TECHNIQUES
VIDEO GENERATION TECHNIQUES
Organization Name
Inventor(s)
Arun Mohanray Mallya of Mountain View CA (US)
Ting-Chun Wang of Santa Clara CA (US)
Ming-Yu Liu of San Jose CA (US)
VIDEO GENERATION TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095989 titled 'VIDEO GENERATION TECHNIQUES
Simplified Explanation
The patent application is for apparatuses, systems, and techniques to generate a video using two or more images containing objects to be included in the video. In one embodiment, objects are identified in the images using neural networks to create a video that includes these objects.
- Objects in images are identified using neural networks.
- The identified objects are included in the generated video.
Potential Applications
This technology could be used in various fields such as:
- Video editing
- Surveillance systems
- Augmented reality applications
Problems Solved
This technology helps in:
- Efficiently generating videos from multiple images
- Automating the process of object identification in images
Benefits
The benefits of this technology include:
- Saving time in video creation
- Improving accuracy in object identification
- Enhancing the quality of generated videos
Potential Commercial Applications
A potential commercial application for this technology could be:
- Integration into video editing software for professionals
Possible Prior Art
One possible prior art could be:
- Existing video editing software that allows for object identification and manipulation in videos
Unanswered Questions
How does this technology handle complex scenes with multiple objects?
This technology uses neural networks to identify objects in images, but how does it handle scenarios where there are multiple objects in a complex scene?
What is the processing time required to generate a video using this technology?
It is important to understand the processing time needed to generate a video from multiple images using this technology, especially for real-time applications.
Original Abstract Submitted
apparatuses, systems, and techniques to generate a video using two or more images comprising objects to be included in the video. in at least one embodiment, objects are identified in two or more images using one or more neural networks, to generate a video to include the objects in the video.
