SYSTEMS AND METHODS FOR DETERMINING HIGHLIGHT SEGMENT SETS

    公开(公告)号:US20180308519A1

    公开(公告)日:2018-10-25

    申请号:US16011014

    申请日:2018-06-18

    Applicant: GoPro, Inc.

    Abstract: A system and/or method configured to determine highlight segments. Content files that define content in a content segment set may be obtained. A highlight segment set may be determined from the content segment set. Determining the highlight segment set may include iterating (a)-(c) for multiple iterations. At (a), individual content segments included in the content segment set may be selected as a selected content segment for inclusion in the highlight segment set. At, (b) diversity scores for content segments that are (i) included in the content segment set and (ii) not yet selected for inclusion in the highlight segment set may be determined. At (c), one or more of the content segments may be disqualified for inclusion in the highlight segment set for future iterations based on the diversity scores.

    Systems and methods for generating a video summary

    公开(公告)号:US11062143B2

    公开(公告)日:2021-07-13

    申请号:US16844542

    申请日:2020-04-09

    Applicant: GoPro, Inc.

    Abstract: Systems and method of generating video summaries are presented herein. Information defining a video may be obtained. The video may include a set of frame images. Parameter values for parameters of individual frame images of the video may be determined. Interest weights for the frame images may be determined. An interest curve for the video that characterizes the video by interest weights as a function of progress through the set of frame images may be generated. One or more curve attributes of the interest curve may be identified and one or more interest curve values of the interest curve that correspond to individual curve attributes may be determined. Interest curve values of the interest curve may be compared to threshold curve values. A subset of frame images of the video to include within a video summary of the video may be identified based on the comparison.

    SYSTEMS AND METHODS FOR DETERMINING HIGHLIGHT SEGMENT SETS

    公开(公告)号:US20200234734A1

    公开(公告)日:2020-07-23

    申请号:US16844488

    申请日:2020-04-09

    Applicant: GoPro, Inc.

    Abstract: A system and/or method configured to determine highlight segments. Content files that define content in a content segment set may be obtained. A highlight segment set may be determined from the content segment set. Determining the highlight segment set may include iterating (a)-(c) for multiple iterations. At (a), individual content segments included in the content segment set may be selected as a selected content segment for inclusion in the highlight segment set. At, (b) diversity scores for content segments that are (i) included in the content segment set and (ii) not yet selected for inclusion in the highlight segment set may be determined. At (c), one or more of the content segments may be disqualified for inclusion in the highlight segment set for future iterations based on the diversity scores.

    Systems and methods for determining a sample frame order for analyzing a video

    公开(公告)号:US10282632B1

    公开(公告)日:2019-05-07

    申请号:US15272070

    申请日:2016-09-21

    Applicant: GOPRO, INC.

    Abstract: A system and/or method configured to determine a sample frame order for analyzing a video. The video may have multiple frames ordered in a sequence from a beginning to an end. A first sample frame order for analyzing the video may be determined. Determining the first sample frame order may include determining an initial frame for a first iteration, and determining secondary frames for a second iteration. Determining the initial frame and the secondary frames may be based on a function of frame position in the sequence of frames. The initial frame may be associated with a first sample position, and the secondary frames may be associated with secondary sample positions in the sample frame order. A first feature of the video may be determined based on an analysis of the frames in the video performed on the frames in the first sample frame order.

    SYSTEMS AND METHODS FOR GENERATING A VIDEO SUMMARY

    公开(公告)号:US20210326598A1

    公开(公告)日:2021-10-21

    申请号:US17361175

    申请日:2021-06-28

    Applicant: GOPRO, INC.

    Abstract: Systems and method of generating video summaries are presented herein. Information defining a video may be obtained. The video may include a set of frame images. Parameter values for parameters of individual frame images of the video may be determined. Interest weights for the frame images may be determined. An interest curve for the video that characterizes the video by interest weights as a function of progress through the set of frame images may be generated. One or more curve attributes of the interest curve may be identified and one or more interest curve values of the interest curve that correspond to individual curve attributes may be determined. Interest curve values of the interest curve may be compared to threshold curve values. A subset of frame images of the video to include within a video summary of the video may be identified based on the comparison.

    SYSTEMS AND METHODS FOR GENERATING A VIDEO SUMMARY

    公开(公告)号:US20180247130A1

    公开(公告)日:2018-08-30

    申请号:US15959954

    申请日:2018-04-23

    Applicant: GoPro, Inc.

    Abstract: Systems and method of generating video summaries are presented herein. Information defining a video may be obtained. The video may include a set of frame images. Parameter values for parameters of individual frame images of the video may be determined. Interest weights for the frame images may be determined. An interest curve for the video that characterizes the video by interest weights as a function of progress through the set of frame images may be generated. One or more curve attributes of the interest curve may be identified and one or more interest curve values of the interest curve that correspond to individual curve attributes may be determined. Interest curve values of the interest curve may be compared to threshold curve values. A subset of frame images of the video to include within a video summary of the video may be identified based on the comparison.

    Systems and methods for generating a video summary

    公开(公告)号:US09953224B1

    公开(公告)日:2018-04-24

    申请号:US15244690

    申请日:2016-08-23

    Applicant: GOPRO, INC.

    Abstract: Systems and method of generating video summaries are presented herein. Information defining a video may be obtained. The video may include a set of frame images. Parameter values for parameters of individual frame images of the video may be determined. Interest weights for the frame images may be determined. An interest curve for the video that characterizes the video by interest weights as a function of progress through the set of frame images may be generated. One or more curve attributes of the interest curve may be identified and one or more interest curve values of the interest curve that correspond to individual curve attributes may be determined. Interest curve values of the interest curve may be compared to threshold curve values. A subset of frame images of the video to include within a video summary of the video may be identified based on the comparison.

    Systems and methods for generating a video summary

    公开(公告)号:US10726272B2

    公开(公告)日:2020-07-28

    申请号:US15959954

    申请日:2018-04-23

    Applicant: GoPro, Inc.

    Abstract: Systems and method of generating video summaries are presented herein. Information defining a video may be obtained. The video may include a set of frame images. Parameter values for parameters of individual frame images of the video may be determined. Interest weights for the frame images may be determined. An interest curve for the video that characterizes the video by interest weights as a function of progress through the set of frame images may be generated. One or more curve attributes of the interest curve may be identified and one or more interest curve values of the interest curve that correspond to individual curve attributes may be determined. Interest curve values of the interest curve may be compared to threshold curve values. A subset of frame images of the video to include within a video summary of the video may be identified based on the comparison.

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