View source for Meta platforms technologies, llc (20240205421). SYSTEMS AND METHODS OF IMPROVING DATA STREAM PROCESSING ACCORDING TO A FIELD-OF-VIEW simplified abstract

=SYSTEMS AND METHODS OF IMPROVING DATA STREAM PROCESSING ACCORDING TO A FIELD-OF-VIEW=


==Organization Name==

[[:Category:meta platforms technologies, llc|meta platforms technologies, llc]]


[[Category:meta platforms technologies, llc]]

==Inventor(s)==

[[:Category:Kyunghun Jung of Sunnyvale CA (US)|Kyunghun Jung of Sunnyvale CA (US)]][[Category:Kyunghun Jung of Sunnyvale CA (US)]]

[[:Category:Kyungho Kim of San Jose CA (US)|Kyungho Kim of San Jose CA (US)]][[Category:Kyungho Kim of San Jose CA (US)]]

==SYSTEMS AND METHODS OF IMPROVING DATA STREAM PROCESSING ACCORDING TO A FIELD-OF-VIEW - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240205421 titled 'SYSTEMS AND METHODS OF IMPROVING DATA STREAM PROCESSING ACCORDING TO A FIELD-OF-VIEW

==Simplified Explanation==
The patent application describes systems, methods, and computer-readable media for improving data stream processing based on the field of view of users in a localized map. Servers track the position of users and adjust the bit rate of audio/video data based on the user's field of view and position.

* Servers maintain the relative position of users in a localized map.
* Servers receive audio/video data from one user and field-of-view data from another user.
* Servers transmit rendering data to adjust the bit rate of the audio/video data based on the field of view and user's position.

==Key Features and Innovation==
* Real-time adjustment of audio/video bit rate based on user's field of view.
* Optimization of data stream processing for multiple users in a localized map.
* Enhanced user experience by adapting rendering data according to relative positions.

==Potential Applications==
This technology can be applied in virtual reality systems, online gaming, video conferencing, and augmented reality applications.

==Problems Solved==
* Ensures optimal data streaming for users with different field of views.
* Enhances user experience by providing high-quality audio/video based on user positions.

==Benefits==
* Improved user experience in virtual environments.
* Efficient data processing for multiple users in a localized map.
* Enhanced communication in online platforms.

==Commercial Applications==
Potential commercial applications include virtual reality gaming platforms, video conferencing software, and augmented reality applications for training and simulations.

==Prior Art==
Readers can explore prior art related to data stream processing, audio/video optimization, and user positioning technologies in virtual environments.

==Frequently Updated Research==
Stay updated on advancements in data stream processing, user experience optimization, and virtual reality technologies for potential improvements in this field.

==Questions about the Technology==
===How does this technology impact user engagement in virtual environments?===
This technology enhances user engagement by providing high-quality audio/video based on user positions, creating a more immersive experience.

===What are the potential challenges in implementing this technology across different devices?===
Implementing this technology across various devices may pose challenges in ensuring compatibility and seamless data transmission between devices.


==Original Abstract Submitted==

systems, methods, and computer readable media for improving data stream processing according to a field-of-view (fov) may include one or more servers that maintain a relative position of each of a plurality of users with respect to a localized map. the server(s) may receive, from a first device, audio/video (a/v) data of a first user of the plurality of users. the server(s) may receive, from a second device, data indicative of a field-of-view (fov) of a second user of the plurality of users. the server(s) may transmit, to the second device, rendering data corresponding to the first a/v data at a bit rate selected according to the data indicative of the fov and/or a relative position of the second user with respect to the localized map.



[[Category:H04N19/167]]
[[Category:CPC_H04N19/167]]