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: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.

    SYSTEMS AND METHODS FOR GENERATING A VIDEO SUMMARY

    公开(公告)号:US20200234054A1

    公开(公告)日:2020-07-23

    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 a sample frame order for analyzing a video via segments

    公开(公告)号:US10268898B1

    公开(公告)日:2019-04-23

    申请号:US15271998

    申请日:2016-09-21

    Applicant: GOPRO, INC.

    Abstract: 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. Segments of the video may be determined based on an analysis of the frames of the video. A first sample frame order for analyzing the video may be determined based on multiple iterations performed on individual ones of the segments of the video. Determining the first sample frame order may include determining initial frames for a first iteration, and determining secondary frames for a second iteration based on a function of frame position in the sequence of frames. The initial frames and the secondary frames may be associated with sample positions in the sample frame order. A first feature of the video may be determined based on an analysis of the frames performed in the first sample frame order.

    Systems and methods that effectuate transmission of workflow between computing platforms

    公开(公告)号:US09639560B1

    公开(公告)日:2017-05-02

    申请号:US14920348

    申请日:2015-10-22

    Applicant: GOPRO, INC.

    CPC classification number: G06T11/60 G06T2210/22

    Abstract: A first command may be received from a client computing platform. The first command may include a proxy image. The proxy image may represent an image stored on the client computing platform. An identifier may be associated with the proxy image. The identifier may be transmitted to the client computing platform. The identifier may be associated with the image stored on the client computing platform. Edits to the image based upon the proxy image may be determined at a remote computing platform. Instructions may be transmitted from the remote computing platform to the client computing platform. The instructions may include the identifier. The instructions may be configured to cause the client computing platform to process the edits on the image.

    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 classifying activities captured within images

    公开(公告)号:US10185895B1

    公开(公告)日:2019-01-22

    申请号:US15467546

    申请日:2017-03-23

    Applicant: GOPRO, INC.

    Abstract: An image including a visual capture of a scene may be accessed. The image may be processed through a convolutional neural network. The convolutional neural network may generate a set of two-dimensional feature maps based on the image. The set of two-dimensional feature maps may be processed through a contextual long short-term memory unit. The contextual long short-term memory unit may generate a set of two-dimensional outputs based on the set of two-dimensional feature maps. A set of attention-masks for the image may be generated based on the set of two-dimensional outputs and the set of two-dimensional feature maps. The set of attention-masks may define dimensional portions of the image. The scene may be classified based on the two-dimensional outputs.

    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.

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