SYSTEMS AND METHODS FOR GENERATING TIME-LAPSE VIDEOS

    公开(公告)号:US20230377605A1

    公开(公告)日:2023-11-23

    申请号:US18364637

    申请日:2023-08-03

    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.

    SYSTEMS AND METHODS FOR STABILIZING VIDEOS
    35.
    发明公开

    公开(公告)号:US20230319405A1

    公开(公告)日:2023-10-05

    申请号:US18311674

    申请日:2023-05-03

    Applicant: GoPro, Inc.

    CPC classification number: H04N23/683 H04N5/2628 H04N23/6812

    Abstract: A video may be captured by an image capture device in motion. A stabilized view of the video may be generated by providing a punchout of the video. The punchout of the video may compensate for rotation of the image capture device during capture of the video. Different field of view punchouts, such as wide field of view punchout and linear field of view punchout, may be used to stabilize the video. Different field of view punchouts may provide different stabilization margins to stabilize the video. The video may be stabilized by switching between different field of view punchouts based on the amount of stabilization margin needed to stabilize the video.

    Systems and methods for stabilizing videos

    公开(公告)号:US11659279B2

    公开(公告)日:2023-05-23

    申请号:US17619429

    申请日:2020-06-19

    Applicant: GoPro, Inc.

    CPC classification number: H04N23/683 H04N5/2628 H04N23/6812

    Abstract: A video may be captured by an image capture device in motion. A stabilized view of the video may be generated by providing a punchout of the video. The punchout of the video may compensate for rotation of the image capture device during capture of the video. Different field of view punchouts, such as wide field of view punchout and linear field of view punchout, may be used to stabilize the video. Different field of view punchouts may provide different stabilization margins to stabilize the video. The video may be stabilized by switching between different field of view punchouts based on the amount of stabilization margin needed to stabilize the video.

    SYSTEMS AND METHODS FOR STABILIZING VIDEOS

    公开(公告)号:US20220141367A1

    公开(公告)日:2022-05-05

    申请号:US17575222

    申请日:2022-01-13

    Applicant: GoPro, Inc.

    Abstract: Visual content is captured by an image capture device during a capture duration. The image capture devices experiences motion during the capture duration. The intentionality of the motion of the image capture device is determined based on angular acceleration of the image capture device during the capture duration. A punchout of the visual content is determined based on the intentionality of the motion of the image capture device. The punchout of the visual content is used to generate stabilized visual content.

    Systems and methods for generating time-lapse videos

    公开(公告)号:US11257521B2

    公开(公告)日:2022-02-22

    申请号:US17118296

    申请日:2020-12-10

    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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