A three-dimensional model distribution method includes: distributing a first model, which is a three-dimensional model of a target space in a target time period, in a first distribution mode; and distributing a second model, which is a three-dimensional model of the target space in the target time period and makes a smaller change per unit time than the first model, in a second distribution mode different from the first distribution mode.

Techniques are described herein for optimizing the presentation of content through obtaining viewership metrics, generating multiple renditions of presentations of content, and selecting optimized renditions of content. One aspect includes associating a request for viewership metrics with a presentation of content, publishing the presentation of content, and receiving information of the viewership metrics associated with the presentation. Another aspect includes copying a presentation of a content item, creating a second presentation of the content item for publishing over one or more channels, and linking the presentation of the content item to the second presentation of the content item, such that a change to one propagates to the other of the presentation of the content item or the second presentation of the content item. In yet another aspect, a content rendition may be selected for presentation based on performance of the rendition out of multiple renditions in an auction.

One example of a method includes receiving a plurality of video streams depicting a scene, wherein the plurality of video streams provides images of the scene from a plurality of different viewpoints, identifying a target that is present in the scene, wherein the target is identified based on a determination of a likelihood of being of interest to a viewer of the scene, determining a trajectory of the target through the plurality of video streams, wherein the determining is based in part on an automated visual analysis of the plurality of video streams, wherein the determining is based in part on a visual analysis of the plurality of video streams, rendering a volumetric video traversal that follows the target through the scene, wherein the rendering comprises compositing the plurality of video streams, receiving viewer feedback regarding the volumetric video traversal, and adjusting the rendering in response to the viewer feedback.

The present invention provides a system and a method for automatically generating an output video of a presentation given by at least one presenter, comprising a displayed content, and performed in an environment, the system comprising a plurality of zones defined within the environment, at least one camera, wherein the camera is configured to capture image frames of the presentation given by the presenter in the environment, means to detect when the at least one presenter changes zone, a configuration associating to each zone, a set of filming parameters for controlling the at least one camera when the at least one presenter is in said zone, wherein the system if further configured to change the filming parameters when the at least one presenter changes zone based on the configuration associated to the zone in which the at least one presenter is so as to provide an output video to the user with different filming parameters.

A method for automatic selection of viewpoint characteristics and trajectories in volumetric video presentations includes receiving a plurality of video streams depicting a scene, wherein the plurality of video streams provides images of the scene from a plurality of different viewpoints, identifying a set of desired viewpoint characteristics for a volumetric video traversal of the scene, determining a trajectory through the plurality of video streams that is consistent with the set of desired viewpoint characteristics, rendering a volumetric video traversal that follows the trajectory, wherein the rendering comprises compositing the plurality of video streams, and publishing the volumetric video traversal for viewing on a user endpoint device.

A system interconnects multiple client devices over a network. A local group of the client devices is located at a live event and a remote group is located remote from the live event. Each client device of the local group is a potential source of a live stream which, when rendered by another client device, causes display of a vantage point of the live event. The system dynamically updates a subscription list to include an indication of any client device of the local group that is actively live streaming and remove an indication of any client device of the local group that terminated live streaming. The system can enable selective access to any live streams of any client device of the updated subscription list and disable access to any live streams of any client device removed from the updated subscription list.

A method for streaming a 360 degree video over a communications network, wherein the video is streamed in a plurality of chunks, includes selecting a prediction window during which to predict a field of view within the video, the field of view is expected to be visible by a viewer at a time of playback of a next chunk of the video, wherein a duration of the prediction window is based on at least one condition within the communications network, selecting a machine learning algorithm to predict the field of view based on a head movement of the viewer, wherein the machine learning algorithm is selected based on the duration of the prediction window, predicting the field of view based on the head movement of the viewer and the machine learning algorithm, identifying a tile of the next chunk that corresponds to the field of view, and downloading the tile.

A wireless camera includes a wireless signal transceiver device, a processor circuit, and a camera device. The processor circuit controls the wireless signal transceiver device to operate at a Miracast mode in response to a first command, in order to connect with an external device. The camera device shots an object to generate first video streaming data having a first format. Under the Miracast mode, the processor circuit repacks the first video streaming data as second video streaming data having a second format, and transmits the second video streaming data to the external device via the wireless signal transceiver device, and in order to display the second video streaming data by the external device.

A wireless camera includes a wireless signal transceiver device, a processor circuit, and a camera device. The processor circuit controls the wireless signal transceiver device to operate at a Miracast mode in response to a first command, in order to connect with an external device. The camera device shots an object to generate first video streaming data having a first format. Under the Miracast mode, the processor circuit repacks the first video streaming data as second video streaming data having a second format, and transmits the second video streaming data to the external device via the wireless signal transceiver device, and in order to display the second video streaming data by the external device.

A method for automatic selection of viewpoint characteristics and trajectories in volumetric video presentations includes receiving a plurality of video streams depicting a scene, wherein the plurality of video streams provides images of the scene from a plurality of different viewpoints, identifying a set of desired viewpoint characteristics for a volumetric video traversal of the scene, determining a trajectory through the plurality of video streams that is consistent with the set of desired viewpoint characteristics, rendering a volumetric video traversal that follows the trajectory, wherein the rendering comprises compositing the plurality of video streams, and publishing the volumetric video traversal for viewing on a user endpoint device.