Electronic Image Stabilization Frequency Estimator

    公开(公告)号:US20190109990A1

    公开(公告)日:2019-04-11

    申请号:US16195991

    申请日:2018-11-20

    Applicant: GoPro, Inc.

    Inventor: Loic Segapelli

    Abstract: Disclosed are a system and a method for providing electronic image stabilization (EIS). The method comprises estimating a motion frequency of an imaging device during capture of media using data received from the imaging device, comparing the estimated motion frequency of the imaging device to a baseline motion frequency threshold, and performing, in response to the estimated motion frequency meeting a first criteria based on the baseline motion frequency threshold, electronic image stabilization on the media.

    Electronic image stabilization frequency estimator

    公开(公告)号:US11317024B2

    公开(公告)日:2022-04-26

    申请号:US16686983

    申请日:2019-11-18

    Applicant: GoPro, Inc.

    Inventor: Loic Segapelli

    Abstract: Disclosed are a system and a method for providing electronic image stabilization (EIS). The method comprises estimating a motion frequency of an imaging device during capture of media using data received from the imaging device, comparing the estimated motion frequency of the imaging device to a baseline motion frequency threshold, and performing, in response to the estimated motion frequency meeting a first criteria based on the baseline motion frequency threshold, electronic image stabilization on the media.

    Electronic image stabilization frequency estimator

    公开(公告)号:US10205879B2

    公开(公告)日:2019-02-12

    申请号:US15666509

    申请日:2017-08-01

    Applicant: GoPro, Inc.

    Inventor: Loic Segapelli

    Abstract: Disclosed are a system and a method for determining enabling or disabling electronic image stabilization (EIS) for a video frame. An image sensor of a camera system captures a video stream that comprises a plurality of video frames. An image processor determines availability of a computational resource that may process application of EIS on each video frame. Simultaneously, the image processor receives motion data of the camera system from a gyroscope. Based on the computational resource availability, a motion frequency threshold is determined. Based on the gyroscope motion data, a motion frequency of each video frame is estimated. The estimated motion frequency is compared to the determined motion frequency threshold. If the estimated motion frequency is greater than the determined motion frequency threshold, application of EIS is disabled. If the estimated motion frequency is less than or equal to the determined motion frequency threshold, application of EIS is enabled.

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