Abstract: Embodiments described herein enable a teleconference among host-side user(s) at a host site and remotely located client-side user(s), wherein a host device is located at the host site, and wherein each of the client-side user(s) uses a respective client device to participate in the teleconference. A host site audio-visual feed is received from the host device. A client data feed is received from the client device of each client-side user. Orientation information for the respective client-side user using a client device is also received. Each client device is provided with the host site audio-visual feed or a modified version thereof. The host device is provided with, for each client device, the client data feed and the orientation information of the client-side user that is using the client device. This enables host-side and client-side users to display visual representations of one another with their respective orientations.

Abstract: Embodiments described herein enable a teleconference among host-side user(s) at a host site and remotely located client-side user(s), wherein a host device is located at the host site, and wherein each of the client-side user(s) uses a respective client device to participate in the teleconference. A host site audio-visual feed is received from the host device. A client data feed is received from the client device of each client-side user. Orientation information for the respective client-side user using a client device is also received. Each client device is provided with the host site audio-visual feed or a modified version thereof. The host device is provided with, for each client device, the client data feed and the orientation information of the client-side user that is using the client device. This enables host-side and client-side users to display visual representations of one another with their respective orientations.

Abstract: Described herein are methods and systems for identifying and using 3D volumetric level of interest data associated with a 3D scene being viewed by multiple viewers. The method can include obtaining, for a time slice, respective consumption data associated with each viewer, of a plurality of viewers that are viewing the 3D scene. The method can also include identifying, based on the consumption data, 3D volumetric level of interest data associated with each of the viewers that are viewing the 3D scene, and thereby, identifying a plurality of separate instances of 3D volumetric level of interest data for the time slice. The method can additionally include aggregating the 3D volumetric level of interest data associated with two or more of the viewers and using the aggregated volumetric level of interest data to autonomously control an aspect associated with the 3D scene for the time slice and/or a later time slice.