REAL-TIME STREAMING OF REACTION FEEDBACK
    11.
    发明申请

    公开(公告)号:US20190268668A1

    公开(公告)日:2019-08-29

    申请号:US16288409

    申请日:2019-02-28

    Applicant: GoPro, Inc.

    Abstract: An image capture device is used to capture an event. A user of the image capture device may stream the captured event using one or more social media platforms. Viewers of the streamed event may provide feedback to the user of the image capture device while viewing the streamed event. An example method for providing the feedback to the user of the image capture device includes receiving feedback information items from viewers viewing the streamed event. The method may include assigning a score to each feedback information item and generating a feedback indication based on the scores assigned to each of the feedback information items. The method may include providing the feedback indication to the user of the image capture device using a feedback indicator associated with the image capture device.

    COMBINED MECHANICAL AND ELECTRONIC IMAGE STABILIZATION

    公开(公告)号:US20190182424A1

    公开(公告)日:2019-06-13

    申请号:US15837263

    申请日:2017-12-11

    Applicant: GoPro, Inc.

    Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include determining an orientation setpoint for an image sensor; based on a sequence of orientation estimates for the image sensor and the orientation setpoint, invoking a mechanical stabilization system to adjust an orientation of the image sensor toward the orientation setpoint; receiving an image from the image sensor; determining an orientation error between the orientation of the image sensor and the orientation setpoint during capture of the image; based on the orientation error, invoking an electronic image stabilization module to correct the image for a rotation corresponding to the orientation error to obtain a stabilized image; and storing, displaying, or transmitting an output image based on the stabilized image.

    COMBINED MECHANICAL AND ELECTRONIC IMAGE STABILIZATION

    公开(公告)号:US20190098191A1

    公开(公告)日:2019-03-28

    申请号:US15915763

    申请日:2018-03-08

    Applicant: GoPro, Inc.

    Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include determining a sequence of orientation estimates based on sensor data from one or more motion sensors; based on the sequence of orientation estimates, invoking a mechanical stabilization system to reject motions of an image sensor occurring within a first operating bandwidth with an upper cutoff frequency; receiving an image from the image sensor; based on the sequence of orientation estimates, invoking an electronic image stabilization module to correct the image for rotations of the image sensor occurring within a second operating bandwidth with a lower cutoff frequency to obtain a stabilized image, wherein the lower cutoff frequency is greater than the upper cutoff frequency; and storing, displaying, or transmitting an output image based on the stabilized image.

    Combined mechanical and electronic image stabilization

    公开(公告)号:US11496684B2

    公开(公告)日:2022-11-08

    申请号:US15837263

    申请日:2017-12-11

    Applicant: GoPro, Inc.

    Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include determining an orientation setpoint for an image sensor; based on a sequence of orientation estimates for the image sensor and the orientation setpoint, invoking a mechanical stabilization system to adjust an orientation of the image sensor toward the orientation setpoint; receiving an image from the image sensor; determining an orientation error between the orientation of the image sensor and the orientation setpoint during capture of the image; based on the orientation error, invoking an electronic image stabilization module to correct the image for a rotation corresponding to the orientation error to obtain a stabilized image; and storing, displaying, or transmitting an output image based on the stabilized image.

    COMBINED MECHANICAL AND ELECTRONIC IMAGE STABILIZATION

    公开(公告)号:US20210168272A1

    公开(公告)日:2021-06-03

    申请号:US17175538

    申请日:2021-02-12

    Applicant: GoPro, Inc.

    Abstract: Systems and methods are disclosed for image signal processing. For example, methods may include determining a sequence of orientation estimates based on sensor data from one or more motion sensors; based on the sequence of orientation estimates, invoking a mechanical stabilization system to reject motions of an image sensor occurring within a first operating bandwidth with an upper cutoff frequency; receiving an image from the image sensor; based on the sequence of orientation estimates, invoking an electronic image stabilization module to correct the image for rotations of the image sensor occurring within a second operating bandwidth with a lower cutoff frequency to obtain a stabilized image, wherein the lower cutoff frequency is greater than the upper cutoff frequency; and storing, displaying, or transmitting an output image based on the stabilized image.

    Ultrasonic ranging state management for unmanned aerial vehicles

    公开(公告)号:US10852427B2

    公开(公告)日:2020-12-01

    申请号:US15639335

    申请日:2017-06-30

    Applicant: GoPro, Inc.

    Abstract: Ultrasonic ranging state management for a UAV is described. A transducer transmits an ultrasonic signal and receives an ultrasonic response thereto using a gain value. A noise floor estimation mechanism determines a noise floor estimate. A state mechanism sets an ultrasonic ranging state used by the transducer to a first ultrasonic ranging state. The transducer transmits an ultrasonic signal and responsively receive an ultrasonic response to the ultrasonic signal using a gain value according to the noise floor estimate. The state mechanism processes the ultrasonic response to determine whether to determine a new noise floor estimate, adjust the gain value used by the transducer, or change the ultrasonic ranging state of the UAV to a second ultrasonic ranging state. The configurations of the first and second ultrasonic ranging states differ as to, for example, power and gain levels used by the transducer to receive ultrasonic responses.

    Target value detection for unmanned aerial vehicles

    公开(公告)号:US10557936B2

    公开(公告)日:2020-02-11

    申请号:US15639454

    申请日:2017-06-30

    Applicant: GoPro, Inc.

    Abstract: Target value detection for an unmanned aerial vehicle is described. The unmanned aerial vehicle includes a first transducer that transmits a first ultrasonic signal and receives a first ultrasonic response and a second transducer that transmits a second ultrasonic signal and receives a second ultrasonic response. The second transducer has a wider beam pattern than the first transducer. Determinations are made as to whether either or both of the first or second ultrasonic responses includes a target value within range areas associated with the respective beam patterns of the first and second transducers. A confidence value is generated based on the determinations. The target value is reflected from an object and the confidence value indicates a likelihood of a position of the unmanned aerial vehicle with respect to the object.

    TARGET VALUE DETECTION FOR UNMANNED AERIAL VEHICLES

    公开(公告)号:US20190004173A1

    公开(公告)日:2019-01-03

    申请号:US15639454

    申请日:2017-06-30

    Applicant: GoPro, Inc.

    Abstract: Target value detection for an unmanned aerial vehicle is described. The unmanned aerial vehicle includes a first transducer that transmits a first ultrasonic signal and receives a first ultrasonic response and a second transducer that transmits a second ultrasonic signal and receives a second ultrasonic response. The second transducer has a wider beam pattern than the first transducer. Determinations are made as to whether either or both of the first or second ultrasonic responses includes a target value within range areas associated with the respective beam patterns of the first and second transducers. A confidence value is generated based on the determinations. The target value is reflected from an object and the confidence value indicates a likelihood of a position of the unmanned aerial vehicle with respect to the object.

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