Abstract: In one example, a method performed by a processing system in a telecommunications network includes acquiring live footage of an event, acquiring sensor data related to the event, wherein the sensor data is collected by a sensor positioned in a location at which the event occurs, extracting an analytical statistic related to a target participating in the event, wherein the extracting is based on content analysis of the live footage and the sensor data, filtering data relating to the target based on the analytical statistic to identify content of interest in the data, wherein the data comprises the live footage, the sensor data, and data relating to historical events that are similar to the event, and generating computer-generated content to present the content of interest, wherein when the computer-generated content is synchronized with the live footage on an immersive display, an augmented reality media is produced.

Abstract: A processing system having at least one processor may establish a communication session between a first communication system of a first user and a second communication system of a second user, the communication session including first video content of a first physical environment of the first user and second video content of a second physical environment of the second user, determine a first visualization action for a first physical object in the first physical environment in accordance with a first configuration setting of the first user for the communication session, obtain the first video content from a first camera of the first communication system, detect the first physical object in the first video content, and perform the first visualization action to modify the first video content. The processing system may then transmit first visualization information including the first video content that is modified to the second communication system.

Abstract: In one example, a method performed by a processing system in a telecommunications network includes acquiring the media stream and identifying an anchor in a scene of the media stream. The anchor is a presence in the scene that has a physical effect on the scene. A type and a magnitude of the physical effect of the anchor on the scene is estimated. An actuator in a vicinity of the user endpoint device that is capable of producing a physical effect in the real world to match the physical effect of the anchor on the scene is identified. A signal is sent to the actuator. The signal controls the actuator to produce the physical effect in the real world when the physical effect of the anchor on the scene occurs in the media stream.

Abstract: Aspects of the subject disclosure may include, for example, a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving immersive media content; creating foreground information for rendering foreground video content of the immersive media content; receiving a first point-of-view (PoV) of a first viewer operating a first display device; generating a background video content from the immersive media content; sending the foreground information to the first display device; and sending a first portion of the background video content to the first display device, wherein the first portion is based on the first PoV. Other embodiments are disclosed.

Abstract: In one example, a device, computer-readable medium, and method for synchronizing multiple user devices in an immersive media environment using time-of-flight (ToF) light patterns are provided. In one example, a method performed by a processing system of a first device includes detecting a fiducial that is present in a light pattern projected by a second device, wherein the second device is present in a same surrounding environment as the first device, determining an identity of the second device based on an appearance of the fiducial, identifying an expected orientation of the fiducial within the light pattern, based on the identity of the second device, and determining a location of the second device relative to the first device, based on an observed orientation of the fiducial relative to the expected orientation of the fiducial.

Abstract: Aspects of the subject disclosure may include, for example, modifying a user profile associated with a user associated with a content service to generate an updated user profile according to consumption of media content by the user and user feedback information associated with the consumption of the media content, determining a user context according to information associated with user device, where the user context includes current activity of the user, modifying a set of media content according to the user context that is determined to generate an updated set of media content, where a type of media content is eliminated from the set of media content in the updated set of media content according to the user context, and presenting the updated set of content at a presentation device of the user via a personal media channel of the user associated with the content service. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of deriving one or more building blocks from original content of a franchise; providing a search interface enabling a user to discover the one or more building blocks, wherein the user selects a set of building blocks from the one or more building blocks for creating user generated content; providing a composition module enabling the user to manipulate the set of building blocks to create the user generated content; and applying one or more policies of the franchise concerning the user generated content, wherein the one or more policies ensure that the user generated content complies with objectives of the franchise. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a group of content layers from a group of media content sources, and identifying metadata for each of the group of content layers resulting in a group of metadata. Further embodiments can include obtaining a group of user preferences, and selecting a first portion of the group of content layers according to the group of metadata and the group of user preferences resulting in a first selected portion of the group of content layers. Additional embodiments can include providing first instructions to a first display of a first communication device to present the first selected portion of the group of content layers resulting in a first presentation. Other embodiments are disclosed.

Abstract: A processing system including at least one processor may capture data from a sensor comprising a microphone of a wearable device, the data comprising external audio data captured via the microphone, determine first audio data a first audio source in the external audio data, apply the first audio data to a situational detection model, and detect a first situation via the first situational detection model. The processing system may then modify, in response to detecting the first situation via the first situational detection model, the external audio data via a change to the first audio data in the external audio data to generate a modified audio data, in accordance with at least a first audio adjustment corresponding to the first situational detection model, where the modifying comprises increasing or decreasing a volume of the first audio data, and present the modified audio data via an earphone of the wearable device.

Abstract: Aspects of the subject disclosure may include, for example, obtaining data relating to a user, where the data relating to the user includes user profile data regarding user activities in a first domain, mapping the user profile data to a second domain, resulting in mapped user profile data, receiving, from an immersion engine, data regarding an immersion environment, obtaining data relating to advertisement content, where the data relating to advertisement content includes information identifying an advertisement object, deriving immersive advertising data based on the mapped user profile data, the data regarding the immersion environment, and the data relating to the advertisement content, and outputting the immersive advertising data to the immersion engine, where the immersive advertising data enables the immersion engine to embed the advertisement object in the immersion environment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes obtaining metadata from media content and consumed by network subscribers; determining for each network subscriber a consumer context associated with the media content; and determining a media consumption pattern for each network subscriber based on the metadata and the consumer context, thereby generating a plurality of media consumption patterns. The method further includes aggregating the media consumption patterns; determining, based on the aggregated media consumption patterns, a media consumption trend for the network subscribers; and correlating the media consumption trend with a profile including a current activity for a network subscriber of the plurality of network subscribers, thereby generating a recommendation for the network subscriber regarding new media content not previously consumed by the network subscriber. The method also includes communicating the recommendation to the network subscriber.

Abstract: Aspects of the subject disclosure may include, for example, providing media content to a communication device. The communication device provides a playback of a presentation of the media content. Further embodiments can include receiving an indication from the communication device that indicates a pause in the presentation of the media content, and determining a plurality of attributes associated with the pause. Additional embodiments can include providing instructions according to the plurality of attributes associated with the pause to the communication device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, socially shared and opportunistic content creation. A narrative may be partitioned in scenes, and rich descriptions are generated for each scene. Content contributors are selected to provide user generated content for each of the scenes, and the user generated content is scored and combined to create media content. Other embodiments are disclosed.

Abstract: A method, computer-readable medium, and apparatus for modeling data of a service for providing a policy are disclosed. For example, a method may include a processor for generating a first policy for a first service by a first policy model using machine learning for processing first data of the first service, determining whether the first policy is to be applied to a second service, applying the first policy to the second service when the first policy is deemed to be applicable to the second service, wherein the applying the first policy provides the first policy to a second policy model using machine learning for processing second data of the second service, generating a second policy for the second service, and implementing the second policy in the second service, wherein the first service and the second service are provided by a single service provider.

Abstract: A network device includes a processor and a memory. The processor effectuates operations including instantiating an edge share orchestrator that identifies edge devices including a customer device. Edge share orchestrator also determines that the customer device lacks computing power or functionality to perform at least a portion of an existing or augmented service and identifies at least one additional device of the edge devices capable of providing additional computing power or functionality for performing the at least a portion of the existing service or augmented service associated with the customer device. Edge share orchestrator also meshes the additional computing power or functionality of the at least one additional device with the customer device and performs the at least a portion of the existing or augmented service associated with the customer device using the meshed additional computing power or functionality of the at least one additional device and the customer device.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes determining, by a processing system including a processor, that a viewer is viewing primary content for a first time; capturing, by the processing system, an emotive response of the viewer as the primary content is viewed during the first time; determining that the viewer is viewing the primary content at a subsequent time, wherein the subsequent time is later than the first time; detecting the emotive response of the viewer as the primary content is viewed during the subsequent time; retrieving external media responsive to detecting the emotive response; and displaying the external media. Other embodiments are disclosed.

Abstract: Task delegation and cooperation for automated assistants is presented. A method comprises receiving, at a centralized support center that is in contact with a plurality of automated assistants including a first automated assistant and a second automated assistant, a request to perform a task on behalf of an individual, formulating, at the centralized support center, the task as a plurality of sub-tasks including a first sub-task and a second sub-task, delegating, at the centralized support center, the first sub-task to the first automated assistant, based on a determination at the centralized support center that the first automated assistant is capable of performing the first sub-task, and delegating, at the centralized support center, the second sub-task to the second automated assistant, based on a determination at the centralized support center that the second automated assistant is capable of performing the second sub-task.

Abstract: A processing system of a mobile device may determine the device's predicted viewport, which defines a portion of a real world environment that is expected to be visible to the device's user at a future time. The processing system may determine a set of extended reality anchors that are present in the real world environment, where each anchor stores a digital object that, when rendered by the device and presented to the user simultaneously with the real world environment, creates extended reality media. The processing system may remove a first subset anchors from the set, where locations of anchors in the first subset fall outside a threshold distance from the predicted viewport. The removing results in a second subset of anchors remaining in the set. The processing system may download a digital object from a second device, where the digital object is stored by an anchor of the second subset.

Abstract: A processing system having at least one processor may obtain a two-dimensional source video, select a volumetric video associated with at least one feature of the source video from a library of volumetric videos, identify a first object in the source video, and determine a location of the first object within a space of the volumetric video. The processing system may further obtain a three-dimensional object model of the first object, texture map the first object to the three-dimensional object model of the first object to generate an enhanced three-dimensional object model of the first object, and modify the volumetric video to include the enhanced three-dimensional object model of the first object in the location of the first object within the space of the volumetric video.

Abstract: Methods, computer-readable media, and devices are disclosed for routing media streams to destination devices based upon semantic contents detected in the media streams. For example, a method may include a processing system including at least one processor detecting a first semantic content in a media stream of a media source device in accordance with a machine learning model for detecting the first semantic content, selecting a first destination device for the media stream based upon the first semantic content, and sending the media stream to the first destination device that is selected.