View source for 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)

=REFERENCE OF NEURAL NETWORK MODEL BY IMMERSIVE MEDIA FOR ADAPTATION OF MEDIA FOR STREAMING TO HETEROGENOUS CLIENT END-POINTS=


==Organization Name==

[[:Category:TENCENT AMERICA LLC|TENCENT AMERICA LLC]]


[[Category:TENCENT AMERICA LLC]]

==Inventor(s)==

[[:Category:Arianne Hinds of Palo Alto CA (US)|Arianne Hinds of Palo Alto CA (US)]][[Category:Arianne Hinds of Palo Alto CA (US)]]

[[:Category:Stephan Wenger of Palo Alto CA (US)|Stephan Wenger of Palo Alto CA (US)]][[Category: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.



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