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: A method for validating objects appearing in volumetric video presentations includes obtaining a volumetric video presentation depicting a scene, wherein the volumetric video presentation is associated with a metadata file containing identifying information for the scene, identifying user-generated content that depicts the scene, by matching metadata associated with the user-generated content to the metadata file associated with the volumetric video presentation, comparing a first object appearing in the volumetric video presentation to a corresponding second object appearing in the user-generated content, assigning a score to the first object based on the comparing, wherein the score indicates a probability that the first object has not been manipulated, and altering the volumetric video presentation to filter the first object from the volumetric video presentation when the score falls below a threshold.

Abstract: A mobile device that incorporates the subject disclosure may perform, for example, operations including requesting transport characteristics of a network coupled to a server and to the device according to a trajectory of the device. Data packets are transported to the mobile device according to a dynamic adaptive streaming over hypertext transfer protocol. The operations include obtaining the current transport characteristics of the network and predicting a future transport characteristic of the network, according to the trajectory of the device. A time is scheduled for sending a request to the server for transmission over the network of a data packet. The time can be scheduled according to the current and future transport characteristics of the network, to avoid degradation in quality of media content presented by the device. The data packet received responsive to sending the request is buffered for a future presentation of the media content. Other embodiments are disclosed.

Abstract: The present disclosure describes a device, computer-readable medium, and method for providing logistical support for robots. In one example, the method includes receiving, at a centralized support center that is in communication with a plurality of robots, a query from a first robot of the plurality of robots that has been deployed to perform a task, wherein the query indicates an error encountered by the first robot and evidence of the error collected by the first robot, formulating, at the centralized support center, a proposed solution to resolve the error, wherein the formulating comprises soliciting an analysis of the evidence by a party other than the first robot, and delivering, by the centralized support center, the proposed solution to the first robot.

Abstract: In one example, a method performed by a processing system in a telecommunications network includes acquiring live footage of a 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: In one example, a method performed by a processing system in a telecommunications network includes acquiring live footage of a 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: Aspects of the subject disclosure may include, for example, generating narrative descriptions corresponding to visual features, visual events, and interactions there between for media content, where the narrative descriptions are associated with time stamps of the media content, and presenting the media content and an audio reproduction of the narrative descriptions, wherein the audio reproduction is synchronized to video of the media content according to the time stamps. Other embodiments are disclosed.

Abstract: A system, process and software that incorporate the subject disclosure may include, for example, identifying a condition that causes an impaired perception of an original media content item during a presentation. A media content modification is determined, wherein application of the media content modification to the original media content item results in a modified media content item. The modified media content item, when presented to the media presentation device, ameliorates the impaired perception of the media content item. The media content modification is applied to the original media content item resulting in the modified media content item. The modified media content item is presented at the media presentation device contemporaneously with the original media content item, allowing different viewers to observe the modified media content item simultaneously with the original. Other embodiments are disclosed.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example, determining, by a system comprising a processor, more common features of a plurality of images according to similarity matrices indicating relative similarities between instances of common features occurring within multiple images of the plurality of images, defining, by the system, cluster groups associated with the more common features, where each cluster group comprises cluster images of the plurality of images, and where the more common features are present in each the cluster images, and performing, by the system, quality-based filtering on the cluster images to identify a target cluster image to represent the cluster images for each of the cluster groups. Other embodiments are disclosed.

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: 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: A method includes receiving, by a device, a first image of a scene and a second image of at least a portion of the scene. The method includes identifying a first plurality of features from the first image and comparing the first plurality of features to a second plurality of features from the second image to identify a common feature. The method includes determining a particular subset of pixels that corresponds to the common feature, the particular subset of pixels corresponding to a first subset of pixels of the first image and a second subset of pixels of the second image. The method also includes generating a first image quality estimate of the first image based on a comparison of a first degree of variation within the first subset of pixels and a second degree of variation within the second subset of pixels.

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.

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 method includes receiving, at a computing device, first image data of a viewer of an output of user equipment. The method includes selecting, at the computing device based on a first item identified in the first image data, a background component to be included in multimedia content. The method also includes providing, from the computing device, the multimedia content to the user equipment for presentation to the viewer. The multimedia content includes the background component and a first foreground component, where the first foreground component has a first characteristic.

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: A method that incorporates teachings of the subject disclosure may include, for example, determining, by a system comprising a processor, more common features of a plurality of images according to similarity matrices indicating relative similarities between instances of common features occurring within multiple images of the plurality of images, defining, by the system, cluster groups associated with the more common features, where each cluster group comprises cluster images of the plurality of images, and where the more common features are present in each the cluster images, and performing, by the system, quality-based filtering on the cluster images to identify a target cluster image to represent the cluster images for each of the cluster groups. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, predicting a field of view of a viewer to obtain a predicted field of view based on information about the viewer and a scoring of a point of interest in media content. A line of sight is obtained between the viewer and a presentation of the media content to obtain a viewer line of sight, and the scoring of the point of interest in the media content is updated to obtain an updated scoring based on the viewer line of sight, the predicted field of view being updated according to the updated scoring. Other embodiments are disclosed.

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, 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.