Abstract: Aspects of the subject disclosure may include, for example, a method comprising receiving one or more media content items; creating one or more leveraged content items from the media content item(s) by extracting one or more leverage points from the media content item(s); obtaining user information, such as user preferences and user context; selecting a selected content item from the leveraged content item(s) based on the user information; creating a custom content item by further extracting a subset of the leverage points from the selected content item based on the user information; and presenting the custom content item to the user's equipment. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, systems and methods aggregating video content and adjusting the aggregate video content according to a training model. The adjusted aggregate video content comprises a first subset of the images and does not comprise a second subset of the images. The first subset of the images is determined by the training model based on a plurality of categories corresponding to a plurality of events. The illustrative embodiments also include presenting the adjusted aggregate video content and receiving identifications for the first subset of the images in the aggregate video content. Further, the illustrative embodiments include adjusting the training model according to the identifications and providing the adjusted training model to a network device. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, analyzing video content obtained from a 360 degree camera to discern a point of interest in the video content and obtaining information about a viewer of the video content. A field of view is predicted based on the information about the viewer and the analysis of the video content. Less than 180 degrees of the video content centered on the predicted field of view is sent to equipment of the viewer. A monitored line of sight of the viewer is obtained based upon eye movements of the viewer relative to an orientation of the viewer. The analysis is updated based on the monitored line of sight and the predicted field of view is updated based on the updated analysis. Other embodiments are disclosed.

Abstract: Concepts and technologies directed to screening streaming content with locked application programming interfaces are disclosed herein. Embodiments can include a system that is configured to perform operations that can include detecting a content stream directed to a media application on a user equipment, where audiovisual content of the content stream is presented on a display.

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: Aspects of the subject disclosure may include, for example, comparing an input received from a peripheral device associated with an execution of a gaming application with a threshold value, wherein the threshold value is based on a first identification of a first user, a second identification of the peripheral device, and a third identification of stimuli presented as part of the execution of the gaming application. Responsive to the comparing, a determination may be made that the input exceeds the threshold value. Responsive to the determination, a validation request may be transmitted to a user device of the first user. Other embodiments are disclosed.

Abstract: Devices, computer-readable media, and methods for providing an enhanced indication of an object that is located via a visual feed in accordance with a user context are disclosed. For instance, in one example, a processing system including at least one processor may detect a user context from a visual feed, locate an object via the visual feed in accordance with the user context, and provide an enhanced indication of the object via an augmented reality display.

Abstract: An edge share orchestration system comprising: an opportunistic capability listener in communication with at least one customer device and at least one additional device; the opportunistic capability listener is configured to pool the at least one customer device and the at least one additional device based on at least one of a capability and a function; an edge share balancer configured to integrate the at least one customer device with the at least one additional device to transform the capability or function of the at least one customer device to provide at least one of a novel service and an augmented service.

Abstract: A method includes determining, at an image processing device, object quality values for a plurality of objects represented in an image. The object quality values are based on portions of image data for the image. The object quality values include a blurriness value for each object and a color value for each object. The method includes accessing, via the image processing device, object category metrics associated with an object category. The object category metrics include a blurriness metric for each object and a color metric for each object. The method also includes performing, with the image processing device, a particular image processing operation for the image based on comparisons of the object quality values for each object to corresponding object category metrics.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising receiving one or more media content items; creating one or more leveraged content items from the media content item(s) by extracting one or more leverage points from the media content item(s); obtaining user information, such as user preferences and user context; selecting a selected content item from the leveraged content item(s) based on the user information; creating a custom content item by further extracting a subset of the leverage points from the selected content item based on the user information; and presenting the custom content item to the user's equipment. Other embodiments are disclosed.

Abstract: A method and apparatus for providing a recommended action are disclosed. For example, the method receives first data that is measured via at least one sensor deployed at a venue, receives second data from at least one user endpoint device present at the venue, wherein the second data comprises data that is measured via a sensor associated with the at least one user endpoint device, applies a perception model of the venue to the first data and the second data that are received, generates at least one recommended action when a threshold is reached, wherein the threshold is established for generating the at least one recommended action, and provides an update to the perception model of the venue based on the at least one recommended action that is generated.

Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for performing autonomous multi-pass data acquisition using unmanned aerial vehicle. For instance, in one example, a method includes obtaining a first set of sensor data collected by a fleet of unmanned aerial vehicles comprising at least one unmanned aerial vehicle, wherein the first set of sensor data depicts a target area at a first granularity, constructing a three-dimensional map of hierarchical unit representations of the first set of sensor data, sending a signal to the fleet of unmanned aerial vehicles to obtain a second set of sensor data at a second granularity that is finer than the first granularity, based at least in part on an examination of the three-dimensional map, and aggregating the second set of sensor data to form a high-resolution composite of the target area.

Abstract: A mobile device that incorporates the subject disclosure may perform, for example, obtaining performance characteristics for network segments of a network where the network segments are selected from a group of network segments of the network based on a trajectory of the mobile device. The mobile device can monitor power state transitions of the mobile device, and can predict a future power state of the mobile device based on the monitoring of the power state transitions. The mobile device can determine a target time for sending a request for transmission of a data packet over the network where the target time is determined based on the performance characteristics for the network segments and based on the future power state of the mobile device. The mobile device can schedule a time for sending the request for transmission according to the target time. 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 method includes accessing, at a base station of a wireless communications network, information identifying a plurality of user devices in a coverage area of the base station. The method includes determining a forecasted content request for media content at a particular time for delivery to a first user device of the plurality of user devices based on media consumption data for the first user device. The method includes receiving, from a second user device of the plurality of user devices, a request for the media content at a time before the particular time. The method includes sending an instruction to the first user device that directs the first user device store the media content received via a multicast transmission of the media content. The method also includes sending the media content via the multicast transmission to the first user device and to the second user device responsive to the request.

Abstract: In one example, a method includes monitoring conditions in a real environment in which a user is present, wherein the monitoring is performed by collecting data about the conditions from a plurality of sensors located in the real environment, transmitting the data about the conditions to an extended reality device that is present in the real environment, where the extended reality device is configured to render a virtual environment, interpolating between the real environment and the virtual environment, based at least in part on the conditions, to determine an actual extended reality environment that is being presented to the user, and sending a signal to a device that is located in the real environment, based on the interpolating, wherein the signal instructs the device to take an action that modifies at least one of the conditions in the real environment.

Abstract: Concepts and technologies directed to screening streaming content with locked application programming interfaces are disclosed herein. Embodiments can include a system that is configured to perform operations that can include detecting a content stream directed to a media application on a user equipment, where audiovisual content of the content stream is presented on a display.

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, a method comprising receiving one or more media content items; creating one or more leveraged content items from the media content item(s) by extracting one or more leverage points from the media content item(s); obtaining user information, such as user preferences and user context; selecting a selected content item from the leveraged content item(s) based on the user information; creating a custom content item by further extracting a subset of the leverage points from the selected content item based on the user information; and presenting the custom content item to the user's equipment. Other embodiments are disclosed.

Abstract: Methods, computer-readable media, and apparatuses for adjusting at least one network-controllable physical resource in response to detecting that a network-connected vehicle comprises a potential hazard to an animate being with a registered safety need are disclosed. In one example, a processing system including at least one processor may identify a network-connected vehicle and a animate being with a registered safety need, detect that the network-connected vehicle poses a potential hazard to the animate being with the registered safety need, transmit a first warning to the network-connected vehicle of the potential hazard, and adjust at least one network-controllable physical resource in response to the detecting that the network-connected vehicle poses the potential hazard to the animate being with the registered safety need.