SYSTEMS AND METHODS FOR CHANGING STABILIZATION OF VIDEOS

    公开(公告)号:US20250016447A1

    公开(公告)日:2025-01-09

    申请号:US18890600

    申请日:2024-09-19

    Applicant: GoPro, Inc.

    Abstract: A video including visual content may be captured by an image capture device in motion. Stabilization performance information for the visual content may be determined. The stabilization performance information may characterize an extent to which desired stabilization is able to be performed using the visual content. The stabilization for the visual content may be changed based on the stabilization performance information.

    SYSTEMS AND METHODS FOR ASSESSING STABILIZATION OF VIDEOS

    公开(公告)号:US20230011188A1

    公开(公告)日:2023-01-12

    申请号:US17953072

    申请日:2022-09-26

    Applicant: GoPro, Inc.

    Abstract: A video may be captured by an image capture device in motion. A stabilization trajectory for the video may reflect stabilization rotational positions to compensate for at least some of the motion of the image capture device. The stabilization trajectory may have a stabilization trajectory length. The stabilization of the visual content may be assessed based on the stabilization trajectory length.

    SYSTEMS AND METHODS FOR DYNAMIC OPTICAL MEDIUM CALIBRATION

    公开(公告)号:US20220327741A1

    公开(公告)日:2022-10-13

    申请号:US17845584

    申请日:2022-06-21

    Applicant: GoPro, Inc.

    Abstract: An image capture device may be calibrated using calibration parameters. Optical medium through which the image capture device captures images may be changed. The calibration parameters of the image capture device may be dynamically modified to account for the change in the optical medium. The image capture device may be operated in accordance with the modified calibration parameters to capture images through the optical medium.

    Systems and methods for assessing stabilization of videos

    公开(公告)号:US11470254B1

    公开(公告)日:2022-10-11

    申请号:US16946395

    申请日:2020-06-19

    Applicant: GoPro, Inc.

    Abstract: A video may be captured by an image capture device in motion. A stabilization trajectory for the video may reflect stabilization rotational positions to compensate for at least some of the motion of the image capture device. The stabilization trajectory may have a stabilization trajectory length. The stabilization of the visual content may be assessed based on the stabilization trajectory length.

    SYSTEMS AND METHODS FOR STABILIZING VIDEOS

    公开(公告)号:US20220303467A1

    公开(公告)日:2022-09-22

    申请号:US17837013

    申请日:2022-06-09

    Applicant: GoPro, Inc.

    Abstract: Images with an optical field of view are captured by an image capture device. An observed trajectory of the image capture device reflects the positions of the image capture device at different moments may be determined. A capture trajectory of the image capture device reflects virtual positions of the image capture device from which video content may be generated. The capture trajectory is determined based on a subsequent portion of the observed trajectory such that a portion of the capture trajectory corresponding to a portion of the observed trajectory is determined based on a subsequent portion of the observed trajectory. Orientations of punch-outs for the images are determined based on the capture trajectory. Video content is generated based on visual content of the images within the punch-outs.

    Systems and methods for generating time-lapse videos

    公开(公告)号:US10916272B2

    公开(公告)日:2021-02-09

    申请号:US16786947

    申请日:2020-02-10

    Applicant: GoPro, Inc.

    Abstract: Video content may be captured by an image capture device during a capture duration. The video content may include video frames that define visual content viewable as a function of progress through a progress length of the video content. Rotational position information may characterize rotational positions of the image capture device during the capture duration. Time-lapse video frames may be determined from the video frames of the video content based on a spatiotemporal metric. The spatiotemporal metric may characterize spatial smoothness and temporal regularity of the time-lapse video frames. The spatial smoothness may be determined based on the rotational positions of the image capture device corresponding to the time-lapse video frames, and the temporal regularity may be determined based on moments corresponding to the time-lapse video frames. Time-lapse video content may be generated based on the time-lapse video frames.

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