ACTIVATION OF EXTENDED REALITY ACTUATORS BASED ON CONTENT ANALYSIS

    公开(公告)号:US20220215637A1

    公开(公告)日:2022-07-07

    申请号:US17700365

    申请日:2022-03-21

    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.

    System for fan-based creation and composition of cross-franchise content

    公开(公告)号:US11347387B1

    公开(公告)日:2022-05-31

    申请号:US17363125

    申请日:2021-06-30

    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.

    SYSTEM FOR NOSTALGIC CONTENT LINKS AND PLAYBACK

    公开(公告)号:US20220138801A1

    公开(公告)日:2022-05-05

    申请号:US17085411

    申请日:2020-10-30

    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.

    Task delegation and cooperation for automated assistants

    公开(公告)号:US11321119B2

    公开(公告)日:2022-05-03

    申请号:US17017210

    申请日:2020-09-10

    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.

    OBJECT MODELING WITH ADVERSARIAL LEARNING

    公开(公告)号:US20220026905A1

    公开(公告)日:2022-01-27

    申请号:US17493770

    申请日:2021-10-04

    Abstract: Methods, computer-readable media, and devices are disclosed for improving an object model based upon measurements of physical properties of an object via an unmanned vehicle using adversarial examples. For example, a method may include a processing system capturing measurements of physical properties of an object via at least one unmanned vehicle, updating an object model for the object to include the measurements of the physical properties of the object, where the object model is associated with a feature space, and generating an example from the feature space, where the example comprises an adversarial example. The processing system may further apply the object model to the example to generate a prediction, capture additional measurements of the physical properties of the object via the at least one unmanned vehicle when the prediction fails to identify that the example is an adversarial example, and update the object model to include the additional measurements.

    DYNAMIC IMAGE RECOGNITION MODEL UPDATES

    公开(公告)号:US20220020127A1

    公开(公告)日:2022-01-20

    申请号:US17490709

    申请日:2021-09-30

    Abstract: Aspects of the subject disclosure may include, for example, receiving first image data for a first image from an electronic device, the first image data including first information associated with a first object identified by the electronic device as being in the first image. Second image data for a second image is received from the electronic device subsequent to receiving the first image data. The second image data includes second information associated with a second object identified by the electronic device as being in the second image. Location information is determined based on the first information and the second information and sent to the electronic device. Other embodiments are disclosed.

    Dynamic image recognition model updates

    公开(公告)号:US11164294B2

    公开(公告)日:2021-11-02

    申请号:US16132802

    申请日:2018-09-17

    Abstract: A method includes capturing a first image via a camera of an electronic device using a first set of image capture parameters. The method includes identifying a first object in the first image based on an object recognition model. The method includes sending first image data to a server. The first image data includes first information associated with the first object. The method includes capturing a second image via the camera using a second set of image capture parameters. The method includes identifying a second object in the second image based on the object recognition model. The method includes sending second image data to the server. The second image data includes second information associated with the second object. The method also includes receiving location information from the server. The location information is determined by the server based on the first information and the second information.

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