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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.
Inventor： Desmond Chik , Daniel Tse , Jonathan Wills
IPC: G11B27/034 , G06K9/00 , G11B27/11
CPC classification number: G11B27/034 , G06K9/0055 , G06K9/00718 , G06K9/00758 , G06K9/00765 , G06K9/4628 , G06K9/6269 , G06K9/6271 , G11B27/11
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.
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公开(公告)号：US10002641B1
公开(公告)日：2018-06-19
申请号：US15295862
申请日：2016-10-17
Applicant: GOPRO, INC.
Inventor： Desmond Chik , Daniel Tse , Jonathan Wills
CPC classification number: G11B27/034 , G06K9/0055 , G06K9/00718 , G06K9/00758 , G06K9/00765 , G06K9/4628 , G06K9/6269 , G06K9/6271 , G11B27/11
Abstract: A system and/or method configured to determine highlight segment sets. Content files that define content in content segment sets may be obtained. Individual highlight segment sets of content segments may be determined from the content segment sets. Determining a first highlight segment set of content segments included in the first content segment may include iterating (a)-(c) for multiple iterations. At (a), individual content segments included in the first content segment set may be selected as a selected content segment for inclusion in the first highlight segment set. At, (b) diversity scores for content segments that are (i) included in the first content segment set and (ii) not yet selected for inclusion in the first highlight segment set may be determined. At (c), one or more of the content segments may be disqualified for inclusion in the first highlight segment set for future iterations based on the diversity scores.
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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.
Inventor： Jonathan Wills , Daniel Tse , Desmond Chik , Brian Schunck
IPC: G06K9/00 , H04N5/225 , G06K9/66 , G11B27/031 , G11B27/30
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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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.
Inventor： Jonathan Wills , Daniel Tse , Desmond Chik , Brian Schunck
IPC: G06K9/00 , H04N5/225 , G06K9/66 , G11B27/031 , G11B27/30
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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5.发明授权公开(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.
Inventor： Jonathan Wills , Daniel Tse , Desmond Chik
IPC: G06K9/00
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.
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Patent Agency Ranking
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.
Inventor： Jonathan Wills , Desmond Chik , Daniel Tse
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.
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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.
Inventor： Jonathan Wills , Daniel Tse , Desmond Chik , Brian Schunck
IPC: G06K9/00 , H04N5/225 , G06K9/66 , G11B27/031 , G11B27/30
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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公开(公告)号：US20200257957A1
公开(公告)日：2020-08-13
申请号：US15435241
申请日：2017-02-16
Applicant: GOPRO, INC.
Inventor： Daniel Tse , Guanhang Wu , Desmond Chik
Abstract: A set of sensor information conveyed by sensor output signals may be accessed. The sensor output signals may be generated by a set of sensors. The set of sensor information may characterize an event monitored by the set of sensors. A multi-feature convolutional neural network may be trained using a branch-loss function. The branch-loss function may include individual loss functions for individual sensor information and one or more combined loss functions for combined sensor information. The set of sensor information may be processed through the multi-feature convolutional neural network. A classification of the event may be obtained from the multi-feature convolutional network based on the set of sensor information.
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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.
Inventor： Desmond Chik , Daniel Tse , Jonathan Wills
IPC: G11B27/034 , G11B27/11 , G06K9/46 , G06K9/00 , G06K9/62
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.
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公开(公告)号：US10534966B1
公开(公告)日：2020-01-14
申请号：US15422852
申请日：2017-02-02
Applicant: GOPRO, INC.
Inventor： Daniel Tse , Desmond Chik , Guanhang Wu
Abstract: Systems and method of identifying activities and/or events represented in a video are presented herein. An activity and/or event may be represented in a video by virtue of one or both of an entity moving with a capture device during capture of the video preforming the activity and/or event, or the video portraying one or more entities performing the activity and/or event. Activity types may be characterized by one or more of common movements, equipment, spatial context, and/or other features. Events may be characterized by one or both of individual movements and/or sets of movements that may routinely occur during performance of an activity. The identification of activities and/or events represented in a video may be based on one or more spectrogram representations of sensor output signals of one or more sensors coupled to a capture device.
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