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.

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 monitoring a user's food intake. For instance, in one example, a user's food intake is monitored based on data collected from a sensor. The user's current nutrient consumption is estimated based on the monitoring. A recommendation is presented to the user based on the estimating, where the recommendation is designed to help the user achieve a target nutrient consumption.

Abstract: A system, method and computer-readable medium are presented for providing real-time content-based navigation of live video programming. The method aspect of the invention comprises receiving a live video program, generating an index to the received live video program by extracting images and/or text from the video program, recording the live video program, presenting at least a portion of data associated with the generated index to a user, receiving user input regarding a portion of the recorded video program to which the user desires to navigate and playing back the recorded video program starting at the navigated portion identified by the user input.

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: Methods, systems, and products determine electromagnetic reflective characteristics of ambient environments. A wireless communications device sends a cellular impulse and receives reflections of the cellular impulse. The cellular impulse and the reflections of the cellular impulse may be compared to determine the electromagnetic reflective characteristics of an ambient environment.

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 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.

Abstract: 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.

Abstract: Disclosed herein are systems, methods, and computer readable-media for temporally adaptive media playback. The method for adaptive media playback includes estimating or determining an amount of time between a first event and a second event, selecting media content to fill the estimated amount of time between the first event and the second event, and playing the selected media content possibly at a reasonably different speed to fit the time interval. One embodiment includes events that are destination-based or temporal-based. Another embodiment includes adding, removing, speeding up, or slowing down selected media content in order to fit the estimated amount of time between the first event and the second event or to modify the selected media content to adjust to an updated estimated amount of time. Another embodiment bases selected media content on a user or group profile.

Abstract: Methods, systems, and products authenticate users for access to devices, applications, and services. Skills of a user are learned over time, such that an electronic model of random subject matter may be generated. The user is prompted to interpret the random subject matter, such as with an electronic drawing. The user's interpretation is then compared to the electronic model of the random subject matter. If the user's interpretation matches the electronic model, the user may be authenticated.

Abstract: An intelligent agent monitors operation of at least one software virtualized network (VN). Context information associated with the VN is used to analyze a state of the VN. At least one configuration change is caused to the VN in response to analysis of the state of the VN. A change is identified to the state of the VN caused by the configuration change. A determination is made as to whether or not the change to the state of the VN is an improvement to operation of the VN. A response to the determination is made by causing at least one other configuration change to the VN.

Abstract: Aspects of the subject disclosure may include, for example, embodiments for providing anonymization. The anonymization can be provided such as to implement, for example, privacy as a service. The anonymization can be directed to emails, web activity (e.g., searching, viewing), browser history, telephone calls and/or physical mail. Mechanisms can be provided via which publication (e.g., online publication; publication in the form of information or data (such as marketing data)) of certain likes/dislikes that a person has can be controlled (e.g., certain likes/dislikes can be prohibited from being made public; certain likes/dislikes can be prohibited from being sold as marketing data; certain likes/dislikes can be allowed to be made public; certain likes/dislikes can be allowed to be sold as marketing data). Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, facilitating access to a synopsis of a missed portion of a media program, identifying subject matter in a segment of content in the media program that has not been presented, determining a particular time for presenting the summary according to the subject matter in the segment of content, and initiating a presentation of the summary at the particular time. Other embodiments are disclosed.

Abstract: A method that incorporates teachings of the subject disclosure may include, for example, receiving, by a system comprising a processor, first media content from a service provider network over a high resolution channel at a first resolution, determining whether a first resolution exceeds a resolution threshold for viewing the first media content, transmitting a notification to the service provider network that the first resolution exceeds the resolution threshold, receiving the first media content from the service provider network over the high resolution channel at a second resolution according to the notification, wherein a difference between the first resolution and the second resolution provides unused bandwidth on the high resolution channel, and receiving second media content from the service provider network over the unused bandwidth of the high resolution channel. Other embodiments are disclosed.

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: Aspects of the subject disclosure may include, for example, a method including obtaining media content and an identification of a plurality of points of interest in the media content, receiving a request from a user to view the media content, obtaining information about the user, identifying one or more highlight and/or degrade points based on the information about the user, modifying the media content to create highlighted content, the highlighted content being the media content modified to attract attention of the user to the highlight point and drive the attention of the user away from the degrade point, presenting the highlighted content to the user, and monitoring the user's consumption of the content. 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.