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: Concepts and technologies are disclosed herein for a content capture application and/or service. In one example embodiment, an application/service can determine a project definition for a media project that can include a video that is to be captured via a user device having a camera. The application/service can determine a device capability of the user device including a video capability and a networking capability. The application/service can determine, based on the project definition and the device capability, a capture suggestion. The capture suggestion can include instructions relating to content to be included in the video. The device can provide the capture suggestion to the user device, obtain media content based on the video, assemble the media project including the media content, and output the media project to a recipient.

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: A method includes obtaining a set of components that, when collectively rendered, presents an immersive experience, extracting a narrative from the set of components, learning a plurality of details of the immersive experience that exhibit variance, based on an analysis of the set of components and an analysis of the narrative, presenting a device of a creator of the immersive experience with an identification of the plurality of the details, receiving from the device of the creator, an input, wherein the input defines a variant for a default segment of one component of the set of components, and wherein the variant presents an altered form of at least one detail of the plurality of details that is presented in the default segment, and storing the set of components, the variant, and information indicating how and when to present the variant to a user device in place of the default segment.

Abstract: A method for transforming static two-dimensional images into immersive computer generated content includes various operations performed by a processing system including at least one processor. In one example, the operations include extracting a plurality of physical features of a media asset from a plurality of two-dimensional images of the media asset, constructing a three-dimensional model of the media asset, based on the plurality of physical features, extracting a plurality of narrative elements associated with the media asset from the plurality of two-dimensional images of the media asset, building a hierarchy of a narrative for the media asset, based on at least a subset of the plurality of narrative elements, and creating an immersive experience based on the three-dimensional model and the hierarchy of the narrative.

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 of receiving, by a processing system including a processor, viewership data for a plurality of viewers watching a program; identifying, by the processing system, an anomalous event from the viewership data, wherein the viewership data includes data points per viewer logged on a per second basis, and wherein the processing system identifies the anomalous event using a pattern recognition algorithm; analyzing, by the processing system, the viewership data to determine a reason for the anomalous event; and providing, by the processing system, a user interface that presents a comparison of the anomalous event versus a standard and indicia for the reason for the anomalous event. Other embodiments are disclosed.

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: Aspects of the subject disclosure may include, for example, obtaining portions of video content from a video game from video game server(s) associated with a video game provider, selecting a first portion of video content from the portions of the video content, and providing the first portion to device(s) associated with viewer(s). Each device presents the first portion of the video content. Further embodiments include obtaining popularity information from the device(s) according to feedback based on presenting the first portion of the video content to the device(s), determining that the popularity information satisfies a popularity threshold associated with the video content, determining a subject matter corresponding to the first portion of the video content, and identifying a second portion of the video content from the video game to be recorded according to the subject matter. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, including: receiving measurements indicating a viewpoint and a gaze direction of a user in a room; receiving a plurality of real-time images from the two or more cameras outside of the room; creating a visual presentation comprising two or more of the plurality of real-time images stitched together, wherein the two or more of the plurality of real-time images are used to remove a physical object obstructing a view of one of the two or more cameras; and sending the visual presentation to the display device, wherein the display device presents the visual presentation on the screen. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, storing, in a database, a decorating style preference of a user; receiving, from user equipment of the user, one or more images (and/or one or more 2D environment models and/or one or more 3D environment models) depicting an environment in which remodeling is desired; generating, via a machine learning process, a first model to present by the user equipment, the generating the first model being based upon the decorating style preference and the one or more images (and/or the one or more 2D environment models and/or the one or more 3D environment models), the first model comprising a first remodeling proposal for the environment; sending, to the user equipment, the first model, the sending of the first model facilitating display by the user equipment of a first depiction of the environment as proposed by the first remodeling proposal; receiving, from the user equipment, feedback information regarding the first remodeling proposal; generating, via the

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first group of video content streams of an event, determining a first point of view of a plurality of audience members of the event, and selecting a first portion of the first group of video content streams of the event according to the first point of view of the plurality of audience members. Further aspects can include aggregating the first portion of the first group of video content streams resulting in first aggregated video content, generating first augmented reality content from the first aggregated video content according to the first point of view, and providing the first augmented reality content to a communication device. The communication device can present the first augmented reality content. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining portions of video content from a video game from video game server(s) associated with a video game provider, selecting a first portion of video content from the portions of the video content, and providing the first portion to device(s) associated with viewer(s). Each device presents the first portion of the video content. Further embodiments include obtaining popularity information from the device(s) according to feedback based on presenting the first portion of the video content to the device(s), determining that the popularity information satisfies a popularity threshold associated with the video content, determining a subject matter corresponding to the first portion of the video content, and identifying a second portion of the video content from the video game to be recorded according to the subject matter. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, including: receiving measurements indicating a viewpoint and a gaze direction of a user in a room; receiving a plurality of real-time images from the two or more cameras outside of the room; creating a visual presentation comprising two or more of the plurality of real-time images stitched together, wherein the two or more of the plurality of real-time images are used to remove a physical object obstructing a view of one of the two or more cameras; and sending the visual presentation to the display device, wherein the display device presents the visual presentation on the screen. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, storing, in a database, a decorating style preference of a user; receiving, from user equipment of the user, one or more images (and/or one or more 2D environment models and/or one or more 3D environment models) depicting an environment in which remodeling is desired; generating, via a machine learning process, a first model to present by the user equipment, the generating the first model being based upon the decorating style preference and the one or more images (and/or the one or more 2D environment models and/or the one or more 3D environment models), the first model comprising a first remodeling proposal for the environment; sending, to the user equipment, the first model, the sending of the first model facilitating display by the user equipment of a first depiction of the environment as proposed by the first remodeling proposal; receiving, from the user equipment, feedback information regarding the first remodeling proposal; generating, via the

Abstract: A processing system including at least one processor may determine a navigation path for an uncrewed vehicle, obtain, from the uncrewed vehicle, location information of the uncrewed vehicle, and obtain visual information from one or more cameras of one or more devices along the navigation path, in response to determining the navigation path for the uncrewed vehicle. The processing system may then determine a deviation from an expected condition along the navigation path based upon the visual information from the one or more devices along the navigation path and transmit a notification of the deviation from the expected condition.

Abstract: Aspects of the subject disclosure may include, for example, a machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, including: receiving measurements indicating a viewpoint and a gaze direction of a user in a room; receiving a plurality of real-time images from the two or more cameras outside of the room; creating a visual presentation comprising two or more of the plurality of real-time images stitched together, wherein the two or more of the plurality of real-time images are used to remove a physical object obstructing a view of one of the two or more cameras; and sending the visual presentation to the display device, wherein the display device presents the visual presentation on the screen. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a first group of video content streams of an event, determining a first point of view of a plurality of audience members of the event, and selecting a first portion of the first group of video content streams of the event according to the first point of view of the plurality of audience members. Further aspects can include aggregating the first portion of the first group of video content streams resulting in first aggregated video content, generating first augmented reality content from the first aggregated video content according to the first point of view, and providing the first augmented reality content to a communication device. The communication device can present the first augmented reality content. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, storing, in a database, a decorating style preference of a user; receiving, from user equipment of the user, one or more images (and/or one or more 2D environment models and/or one or more 3D environment models) depicting an environment in which remodeling is desired; generating, via a machine learning process, a first model to present by the user equipment, the generating the first model being based upon the decorating style preference and the one or more images (and/or the one or more 2D environment models and/or the one or more 3D environment models), the first model comprising a first remodeling proposal for the environment; sending, to the user equipment, the first model, the sending of the first model facilitating display by the user equipment of a first depiction of the environment as proposed by the first remodeling proposal; receiving, from the user equipment, feedback information regarding the first remodeling proposal; generating, via the