18432858. REFERENCE OF NEURAL NETWORK MODEL BY IMMERSIVE MEDIA FOR ADAPTATION OF MEDIA FOR STREAMING TO HETEROGENOUS CLIENT END-POINTS simplified abstract (TENCENT AMERICA LLC)
Contents
- 1 REFERENCE OF NEURAL NETWORK MODEL BY IMMERSIVE MEDIA FOR ADAPTATION OF MEDIA FOR STREAMING TO HETEROGENOUS CLIENT END-POINTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 REFERENCE OF NEURAL NETWORK MODEL BY IMMERSIVE MEDIA FOR ADAPTATION OF MEDIA FOR STREAMING TO HETEROGENOUS CLIENT END-POINTS - 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
REFERENCE OF NEURAL NETWORK MODEL BY IMMERSIVE MEDIA FOR ADAPTATION OF MEDIA FOR STREAMING TO HETEROGENOUS CLIENT END-POINTS
Organization Name
Inventor(s)
Arianne Hinds of Palo Alto CA (US)
Stephan Wenger of Palo Alto CA (US)
REFERENCE OF NEURAL NETWORK MODEL BY IMMERSIVE MEDIA FOR ADAPTATION OF MEDIA FOR STREAMING TO HETEROGENOUS CLIENT END-POINTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18432858 titled 'REFERENCE OF NEURAL NETWORK MODEL BY IMMERSIVE MEDIA FOR ADAPTATION OF MEDIA FOR STREAMING TO HETEROGENOUS CLIENT END-POINTS
Simplified Explanation
The patent application describes a method, computer program, and computer system for streaming immersive media by converting content from a first two-dimensional or three-dimensional format to a second two-dimensional or three-dimensional format based on a referenced neural network, and then streaming the converted content to a client end-point.
- Content is ingested in a first two-dimensional or three-dimensional format.
- The format references a neural network.
- The ingested content is converted to a second two-dimensional or three-dimensional format based on the referenced neural network.
- The converted content is streamed to a client end-point, such as a television, computer, head-mounted display, lenticular light field display, holographic display, augmented reality display, or dense light field display.
Potential Applications
This technology could be applied in various industries such as entertainment, gaming, virtual reality, augmented reality, education, and training.
Problems Solved
This technology solves the problem of efficiently streaming immersive media by converting content based on neural network references, allowing for a seamless and high-quality viewing experience.
Benefits
The benefits of this technology include improved streaming quality, enhanced user experience, and increased compatibility with different types of display devices.
Potential Commercial Applications
The potential commercial applications of this technology include streaming services, virtual reality content providers, gaming companies, educational institutions, and businesses utilizing immersive media for training purposes.
Possible Prior Art
One possible prior art could be the use of neural networks in image or video processing to enhance quality or optimize content for specific display devices.
Unanswered Questions
How does this technology handle real-time streaming of immersive media content?
This article does not provide details on the real-time processing capabilities of the system for streaming immersive media content.
What are the specific neural network architectures used for content conversion in this technology?
The article does not specify the neural network architectures or models utilized for converting content in this streaming system.
Original Abstract Submitted
A method, computer program, and computer system is provided for streaming immersive media. Content is ingested in a first two-dimension format or a first three-dimensional format, whereby the format references a neural network. The ingested content is converted to a second two-dimensional or a second three-dimensional format based on the referenced neural network. The converted content is streamed to a client end-point, such as a television, a computer, a head-mounted display, a lenticular light field display, a holographic display, an augmented reality display, or a dense light field display.
