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公开(公告)号：US10157638B2
公开(公告)日：2018-12-18
申请号：US15192851
申请日：2016-06-24
Applicant: Google Inc.
Inventor： Sharadh Ramaswamy , Matthias Grundmann , Kenneth Conley
IPC: G11B27/034 , G11B27/28 , G11B27/34 , H04N21/237 , H04N21/845 , H04N21/8549
Abstract: A computer-implemented method includes determining interesting moments in a video. The method further includes generating video segments based on the interesting moments, wherein each of the video segments includes at least one of the interesting moments from the video. The method further includes generating a collage from the video segments, where the collage includes at least two windows and wherein each window includes one of the video segments.
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公开(公告)号：US09888180B2
公开(公告)日：2018-02-06
申请号：US15463127
申请日：2017-03-20
Applicant: Google Inc.
Inventor： Matthias Grundmann , Vivek Kwatra , Irfan Essa
CPC classification number: H04N5/23267 , G06K9/00718 , G06K9/00744 , G06T7/246 , G06T2207/10016 , G06T2207/20021 , G06T2207/30244 , H04N5/23248 , H04N5/23254 , H04N5/2329
Abstract: An easy-to-use online video stabilization system and methods for its use are described. Videos are stabilized after capture, and therefore the stabilization works on all forms of video footage including both legacy video and freshly captured video. In one implementation, the video stabilization system is fully automatic, requiring no input or parameter settings by the user other than the video itself. The video stabilization system uses a cascaded motion model to choose the correction that is applied to different frames of a video. In various implementations, the video stabilization system is capable of detecting and correcting high frequency jitter artifacts, low frequency shake artifacts, rolling shutter artifacts, significant foreground motion, poor lighting, scene cuts, and both long and short videos.
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公开(公告)号：US09635261B2
公开(公告)日：2017-04-25
申请号：US15150069
申请日：2016-05-09
Applicant: Google Inc.
Inventor： Matthias Grundmann , Vivek Kwatra , Irfan Essa
CPC classification number: H04N5/23267 , G06K9/00718 , G06K9/00744 , G06T7/246 , G06T2207/10016 , G06T2207/20021 , G06T2207/30244 , H04N5/23248 , H04N5/23254 , H04N5/2329
Abstract: An easy-to-use online video stabilization system and methods for its use are described. Videos are stabilized after capture, and therefore the stabilization works on all forms of video footage including both legacy video and freshly captured video. In one implementation, the video stabilization system is fully automatic, requiring no input or parameter settings by the user other than the video itself. The video stabilization system uses a cascaded motion model to choose the correction that is applied to different frames of a video. In various implementations, the video stabilization system is capable of detecting and correcting high frequency jitter artifacts, low frequency shake artifacts, rolling shutter artifacts, significant foreground motion, poor lighting, scene cuts, and both long and short videos.
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4.发明申请CASCADED CAMERA MOTION ESTIMATION, ROLLING SHUTTER DETECTION, AND CAMERA SHAKE DETECTION FOR VIDEO STABILIZATION 有权CASCADED CAMERA运动估计，滚动快门检测和视频稳定的相机SHAKE检测公开(公告)号：US20140267801A1
公开(公告)日：2014-09-18
申请号：US13854819
申请日：2013-04-01
Applicant: Google Inc.
Inventor： Matthias Grundmann , Vivek Kwatra , Irfan Essa
IPC: H04N5/232
CPC classification number: H04N5/23267 , G06K9/00718 , G06K9/00744 , G06T7/246 , G06T2207/10016 , G06T2207/20021 , G06T2207/30244 , H04N5/23248 , H04N5/23254 , H04N5/2329
Abstract: An easy-to-use online video stabilization system and methods for its use are described. Videos are stabilized after capture, and therefore the stabilization works on all forms of video footage including both legacy video and freshly captured video. In one implementation, the video stabilization system is fully automatic, requiring no input or parameter settings by the user other than the video itself. The video stabilization system uses a cascaded motion model to choose the correction that is applied to different frames of a video. In various implementations, the video stabilization system is capable of detecting and correcting high frequency jitter artifacts, low frequency shake artifacts, rolling shutter artifacts, significant foreground motion, poor lighting, scene cuts, and both long and short videos.
Abstract translation: 描述了一种易于使用的在线视频稳定系统及其使用方法。 视频在拍摄后稳定，因此稳定性适用于所有形式的视频素材，包括传统视频和新鲜捕获的视频。 在一个实现中，视频稳定系统是全自动的，除了视频本身之外，不需要用户的输入或参数设置。 视频稳定系统使用级联运动模型来选择应用于视频的不同帧的校正。 在各种实施方案中，视频稳定系统能够检测和校正高频抖动伪像，低频抖动伪影，滚动快门伪像，显着的前景运动，差的照明，场景切换以及长视频和短视频。
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公开(公告)号：US09619732B2
公开(公告)日：2017-04-11
申请号：US14791692
申请日：2015-07-06
Applicant: Google Inc.
Inventor： Erik Murphy-Chutorian , Matthew Steiner , Vivek Kwatra , Shengyang Dai , John Spiegel , Nicholas Butko , Falk Sticken , Florian Kriener , Tom Binder , John Flynn , Troy Chinen , Steven Vandebogart , Nikolaos Trogkanis , Ingo Wehmeyer , Matthias Grundmann
CPC classification number: G06K9/6218 , G06F17/30247 , G06K9/00228 , G06K9/00677 , G06T11/60
Abstract: Implementations generally relate to generating compositional media content. In some implementations, a method includes receiving a plurality of photos from a user, and determining one or more composition types from the photos. The method also includes generating compositions from the selected photos based on the one or more determined composition types. The method also includes providing the one or more generated compositions to the user.
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Patent Agency Ranking
6.发明申请CASCADED CAMERA MOTION ESTIMATION, ROLLING SHUTTER DETECTION, AND CAMERA SHAKE DETECTION FOR VIDEO STABILIZATION 有权CASCADED CAMERA运动估计，滚动快门检测和视频稳定的相机SHAKE检测公开(公告)号：US20160269642A1
公开(公告)日：2016-09-15
申请号：US15150069
申请日：2016-05-09
Applicant: Google Inc.
Inventor： Matthias Grundmann , Vivek Kwatra , Irfan Essa
CPC classification number: H04N5/23267 , G06K9/00718 , G06K9/00744 , G06T7/246 , G06T2207/10016 , G06T2207/20021 , G06T2207/30244 , H04N5/23248 , H04N5/23254 , H04N5/2329
Abstract: An easy-to-use online video stabilization system and methods for its use are described. Videos are stabilized after capture, and therefore the stabilization works on all forms of video footage including both legacy video and freshly captured video. In one implementation, the video stabilization system is fully automatic, requiring no input or parameter settings by the user other than the video itself. The video stabilization system uses a cascaded motion model to choose the correction that is applied to different frames of a video. In various implementations, the video stabilization system is capable of detecting and correcting high frequency jitter artifacts, low frequency shake artifacts, rolling shutter artifacts, significant foreground motion, poor lighting, scene cuts, and both long and short videos.
Abstract translation: 描述了一种易于使用的在线视频稳定系统及其使用方法。 视频在拍摄后稳定，因此稳定性适用于所有形式的视频素材，包括传统视频和新鲜捕获的视频。 在一个实现中，视频稳定系统是全自动的，除了视频本身之外，不需要用户的输入或参数设置。 视频稳定系统使用级联运动模型来选择应用于视频的不同帧的校正。 在各种实施方案中，视频稳定系统能够检测和校正高频抖动伪像，低频抖动伪影，滚动快门伪像，显着的前景运动，差的照明，场景切换以及长视频和短视频。
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7.发明授权Cascaded camera motion estimation, rolling shutter detection, and camera shake detection for video stabilization 有权级联相机运动估计，滚动快门检测和用于视频稳定的相机抖动检测公开(公告)号：US09374532B2
公开(公告)日：2016-06-21
申请号：US13854819
申请日：2013-04-01
Applicant: Google Inc.
Inventor： Matthias Grundmann , Vivek Kwatra , Irfan Essa
CPC classification number: H04N5/23267 , G06K9/00718 , G06K9/00744 , G06T7/246 , G06T2207/10016 , G06T2207/20021 , G06T2207/30244 , H04N5/23248 , H04N5/23254 , H04N5/2329
Abstract: An easy-to-use online video stabilization system and methods for its use are described. Videos are stabilized after capture, and therefore the stabilization works on all forms of video footage including both legacy video and freshly captured video. In one implementation, the video stabilization system is fully automatic, requiring no input or parameter settings by the user other than the video itself. The video stabilization system uses a cascaded motion model to choose the correction that is applied to different frames of a video. In various implementations, the video stabilization system is capable of detecting and correcting high frequency jitter artifacts, low frequency shake artifacts, rolling shutter artifacts, significant foreground motion, poor lighting, scene cuts, and both long and short videos.
Abstract translation: 描述了一种易于使用的在线视频稳定系统及其使用方法。 视频在拍摄后稳定，因此稳定性适用于所有形式的视频素材，包括传统视频和新鲜捕获的视频。 在一个实现中，视频稳定系统是全自动的，除了视频本身之外，不需要用户的输入或参数设置。 视频稳定系统使用级联运动模型来选择应用于视频的不同帧的校正。 在各种实施方案中，视频稳定系统能够检测和校正高频抖动伪像，低频抖动伪影，滚动快门伪像，显着的前景运动，差的照明，场景切换以及长视频和短视频。
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公开(公告)号：US09167221B2
公开(公告)日：2015-10-20
申请号：US14058411
申请日：2013-10-21
Applicant: Google Inc.
Inventor： Matthias Grundmann , Vivek Kwatra
IPC: H04N5/93 , G11B27/00 , H04N9/80 , H04N9/87 , H04N21/2187 , H04N21/234 , H04N21/2343 , H04N21/854 , H04N9/64 , H04N5/14 , H04N5/225 , H04N21/4728
CPC classification number: H04N9/87 , H04N5/145 , H04N5/225 , H04N21/2187 , H04N21/23418 , H04N21/234345 , H04N21/4728 , H04N21/854
Abstract: Methods and systems for video retargeting and view selection using motion saliency are described. Salient features in multiple videos may be extracted. Each video may be retargeted by modifying the video to preserve the salient features. A crop path may be estimated and applied to a video to retarget each video and generate a modified video preserving the salient features. An action score may be assigned to portions or frames of each modified video to represent motion content in the modified video. Selecting a view from one of the given modified videos may be formulated as an optimization subject to constraints. An objective function for the optimization may include maximizing the action score. This optimization may also be subject to constraints to take into consideration optimal transitioning from a view from a given video to another view from another given video, for example.
Abstract translation: 描述了使用运动显着的视频重定向和视图选择的方法和系统。 可以提取多个视频中的显着特征。 可以通过修改视频来重定向每个视频以保持显着特征。 可以估计裁剪路径并将其应用于视频以重新定位每个视频，并生成保留显着特征的修改的视频。 可以将动作得分分配给每个经修改的视频的部分或帧以表示经修改的视频中的运动内容。 从给定的修改的视频之一选择视图可以被制定为受约束的优化。 优化的目标函数可以包括最大化动作得分。 例如，这种优化也可能受到约束，以考虑从给定视频的视图到另一给定视频的另一视图的最佳转换。
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公开(公告)号：US10534503B1
公开(公告)日：2020-01-14
申请号：US15187960
申请日：2016-06-21
Applicant: Google Inc.
Inventor： Matthias Grundmann , Jokubas Zukerman , Marco Paglia , Kenneth Conley , Karthik Raveendran , Reed Morse
IPC: G06F3/0482 , G06F3/0485 , G11B27/029 , G06F3/0488 , H04N5/262 , G11B27/028
Abstract: Implementations disclose a user interface for viewing and combining media items into a video. A method includes presenting a user interface facilitating a creation of a video from a plurality of media items, the user interface comprising a first portion concurrently playing a first media item and a second media item of the plurality of media items; receiving user input indicating a selection of the first media item in the first portion of the user interface; in response to determining that the user input is of a first type, adding the first media item to a set of selected media items, and presenting the set of selected media items in a second portion of the user interface; and creating the video from the set of selected media items.
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公开(公告)号：US20190013047A1
公开(公告)日：2019-01-10
申请号：US14675408
申请日：2015-03-31
Applicant: Google Inc.
Inventor： Arthur Wait , Krishna Bharat , Caroline Rebecca Pantofaru , Christian Frueh , Matthias Grundmann , Jay Yagnik , Ryan Michael Hickman
Abstract: A plurality of videos is analyzed (in real time or after the videos are generated) to identify interesting portions of the videos. The interesting portions are identified based on one or more of the people depicted in the videos, the objects depicted in the videos, the motion of objects and/or people in the videos, and the locations where people depicted in the videos are looking. The interesting portions are combined to generate a content item.
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