US 2025/0165306 A1 · DISTRIBUTED EXTENDED REALITY (XR) COMPUTING OPTIMIZATION BETWEEN EDGE NODE AND ONE OR MORE CONNECTED XR CLIENT DEVICES

Abstract

Methods and systems are described for distributed extended reality (XR) computing optimization for an edge node connectable to a client device and an XR content server across a network. XR computing is apportioned to the edge node and the client device so that a wide variety of client devices, from light to heavy, are accommodated based on metrics of the edge node, the client device, the XR content server, and the network. Some of the apportionments include extraction of feature descriptors by the client device to avoid transmitting full image data from the client device to the edge node. The feature descriptors are used for tracking initialization and frame to frame tracking. Overall system performance is improved delivering an improved user experience. Related apparatuses, devices, techniques, and articles are also described.

Claims21

Dependent claims

A method for distributed extended reality (XR) computing optimization for edge nodes connectable to client devices and XR content servers, the method comprising:

accessing a performance metric of at least one of an edge node, a client device, a XR content server, or a network;
determining at the edge node one of a plurality of XR computing distribution ladders based on the performance metric;
apportioning at the edge node XR computing between the edge node and the client device based on the one of the plurality of XR computing distribution ladders;
determining at the edge node whether visual feature descriptor extraction is to be performed;
and
in response to determining that the visual feature descriptor extraction is to be performed:
transmitting from the edge node an indicator for performing the visual feature descriptor extraction;
and
performing at the edge node the apportioned XR computing without receiving at the edge node full image data.

6 more elements

A system for distributed extended reality (XR) computing optimization for edge nodes connectable to client devices and XR content servers, the system comprising:

an edge node comprising control circuitry, wherein the control circuitry of the edge node is configured to:
access a performance metric of at least one of an edge node, a client device, a XR content server, or a network;
determine at the edge node one of a plurality of XR computing distribution ladders based on the performance metric;
apportion at the edge node XR computing between the edge node and the client device based on the one of the plurality of XR computing distribution ladders;
determine at the edge node whether visual feature descriptor extraction is to be performed;
and
in response to determining that the visual feature descriptor extraction is to be performed:
transmit from the edge node an indicator for performing the visual feature descriptor extraction;
and
perform at the edge node the apportioned XR computing without receiving at the edge node full image data.

7 more elements

Dependencies are inferred from the claim text.

Distributed extended reality (xr) computing optimization between edge node and one or more connected xr client devices

Life of this patent

Distributed extended reality (xr) computing optimization between edge node and one or more connected xr client devices

Life of this patent

Abstract

Claims21