Avatour Technologies, Inc.

Nokia Technologies Oy

Imeve, Inc.

Devon Copley

Prasad Balasubramanian

Daniel Vaquero

Esin Guldogan

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.

Multiuser asymmetric immersive teleconferencing with synthesized audio-visual feed

Multiuser asymmetric immersive teleconferencing

A method, apparatus and computer program product are provided for improving the efficiency of content delivery based on consumption data. Consumption data may be collected from various users and/or devices describing frequently viewed areas in the content. The consumption data may be represented as a heat map. Variable encoding properties, caching priorities, and/or rendering priorities may be determined based on the consumption data. Content encoding and delivery may therefore be optimized accordingly. Machine learning may be applied to create predicted consumption data for content which lacks actual consumption data, allowing optimizations to be applied in advance of any actual consumption. Some concepts may be applied to unviewed video to optimize live streaming or the like.

Method and apparatus for improving efficiency of content delivery based on consumption data relative to spatial data

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San Francisco, CA, United States of America

Devon Copley