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公开(公告)号：US20160086383A1
公开(公告)日：2016-03-24
申请号：US14959245
申请日：2015-12-04
Applicant: Google Inc.
Inventor： Thad Eugene Starner , Irfan Essa
CPC classification number: G06T19/006 , G02B27/017 , G02B2027/0178 , G06F3/005 , G06F3/017 , G06F17/30247 , G06K9/00671 , G06K9/4604 , G06K2009/4666 , G06T7/12 , G06T7/13 , G06T7/215 , G06T7/254 , G06T2207/10016 , G06T2207/10021 , G06T2207/10024 , G06T2207/20076 , G06T2207/20096 , G06T2207/20112
Abstract: Methods and devices for initiating a search of an object are disclosed. In one embodiment, a method is disclosed that includes receiving sensor data from a sensor on a wearable computing device and, based on the sensor data, detecting a movement that defines an outline of an area in the sensor data. The method further includes identifying an object that is located in the area and initiating a search on the object. In another embodiment, a server is disclosed that includes an interface configured to receive sensor data from a sensor on a wearable computing device, at least one processor, and data storage comprising instructions executable by the at least one processor to detect, based on the sensor data, a movement that defines an outline of an area in the sensor data, identify an object that is located in the area, and initiate a search on the object.
Abstract translation: 公开了用于发起对象的搜索的方法和装置。 在一个实施例中，公开了一种方法，其包括从可穿戴计算设备上的传感器接收传感器数据，并且基于传感器数据，检测限定传感器数据中的区域轮廓的移动。 该方法还包括识别位于该区域中的对象并且开始对该对象的搜索。 在另一个实施例中，公开了一种服务器，其包括被配置为从可穿戴计算设备上的传感器接收传感器数据的接口，至少一个处理器，以及数据存储器，其包括可由所述至少一个处理器执行的指令，以基于所述传感器 数据，定义传感器数据中的区域的轮廓的运动，识别位于该区域中的对象，并且启动对对象的搜索。
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2.发明申请METHODS AND SYSTEMS FOR PROCESSING A VIDEO FOR STABILIZATION USING DYNAMIC CROP 有权处理使用动态作业的稳定视频的方法和系统公开(公告)号：US20140327788A1
公开(公告)日：2014-11-06
申请号：US14332244
申请日：2014-07-15
Applicant: Google Inc.
Inventor： Matthias Grundmann , Vivek Kwatra , Irfan Essa
IPC: H04N5/232
CPC classification number: H04N5/23264 , H04N5/23254 , H04N5/23261 , H04N5/23267
Abstract: Methods and systems for processing a video for stabilization are described. A recorded video may be stabilized by removing at least a portion of shake introduced in the video. An original camera path for a camera used to record the video may be determined. A crop window size may be selected, a crop window transform may accordingly be determined, and the crop window transform may be applied to the original video to provide a modified video from a viewpoint of the modified motion camera path.
Abstract translation: 描述用于处理用于稳定的视频的方法和系统。 可以通过去除视频中引入的至少一部分抖动来稳定记录的视频。 可以确定用于记录视频的相机的原始相机路径。 可以选择裁剪窗口尺寸，因此可以确定裁剪窗口变换，并且可以将裁剪窗口变换应用于原始视频，以从修改的运动摄像机路径的视点提供修改的视频。
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3.发明授权公开(公告)号：US10110850B1
公开(公告)日：2018-10-23
申请号：US14332183
申请日：2014-07-15
Applicant: Google Inc.
Inventor： Caroline Rebecca Pantofaru , Vinay Bettadapura , Krishna Bharat , Irfan Essa
Abstract: A method for localizing the attention of a user of a first-person point-of-view (FPPOV) device is disclosed. The method includes receiving data from an FPPOV device, the data being indicative of a first region-of-interest (ROI) of an event for a first time duration and a second ROI of the event for a second time duration. The method further include determining that a first camera from a plurality of cameras best captures the first ROI during the first time duration, and determining that a second camera from the plurality of cameras best captures the second ROI during the second time duration.
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4.发明授权Methods and systems for processing a video for stabilization using dynamic crop 有权使用动态作物处理视频以进行稳定的方法和系统公开(公告)号：US09554043B2
公开(公告)日：2017-01-24
申请号：US14332244
申请日：2014-07-15
Applicant: Google Inc.
Inventor： Matthias Grundmann , Vivek Kwatra , Irfan Essa
IPC: H04N5/232
CPC classification number: H04N5/23264 , H04N5/23254 , H04N5/23261 , H04N5/23267
Abstract: Methods and systems for processing a video for stabilization are described. A recorded video may be stabilized by removing at least a portion of shake introduced in the video. An original camera path for a camera used to record the video may be determined. A crop window size may be selected, a crop window transform may accordingly be determined, and the crop window transform may be applied to the original video to provide a modified video from a viewpoint of the modified motion camera path.
Abstract translation: 描述用于处理用于稳定的视频的方法和系统。 可以通过去除视频中引入的至少一部分抖动来稳定记录的视频。 可以确定用于记录视频的相机的原始相机路径。 可以选择裁剪窗口尺寸，因此可以确定裁剪窗口变换，并且可以将裁剪窗口变换应用于原始视频，以从修改的运动摄像机路径的视点提供修改的视频。
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公开(公告)号：US09405977B2
公开(公告)日：2016-08-02
申请号：US14724524
申请日：2015-05-28
Applicant: Google Inc.
Inventor： Thad Eugene Starner , Irfan Essa
CPC classification number: G06K9/00765 , G02B27/0172 , G02B2027/0178 , G06F3/011 , G06F3/017 , G06F3/0304 , G06F3/033 , G06F3/038 , G06K9/52 , G06T19/006
Abstract: Methods and devices for initiating a search are disclosed. In one embodiment, a method is disclosed that includes causing a camera on a wearable computing device to record video data, segmenting the video data into a number of layers and, based on the video data, detecting that a pointing object is in proximity to a first layer. The method further includes initiating a first search on the first layer. In another embodiment, a wearable computing device is disclosed that includes a camera configured to record video data, a processor, and data storage comprising instructions executable by the processor to segment the video data into a number of layers and, based on the video data, detect that a pointing object is in proximity to a first layer. The instructions are further executable by the processor to initiate a first search on the first layer.
Abstract translation: 公开了用于发起搜索的方法和装置。 在一个实施例中，公开了一种方法，其包括使可穿戴计算设备上的照相机记录视频数据，将视频数据分割成多个层，并且基于视频数据，检测指向对象接近于 第一层 该方法还包括在第一层上发起第一次搜索。 在另一个实施例中，公开了一种佩戴式计算设备，其包括被配置为记录视频数据的照相机，处理器和数据存储器，其包括可由处理器执行的指令，以将视频数据分割成多个层，并且基于视频数据， 检测到指向物体在第一层附近。 指令还可由处理器执行以在第一层上发起第一次搜索。
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Patent Agency Ranking
公开(公告)号：US09536354B2
公开(公告)日：2017-01-03
申请号：US14959245
申请日：2015-12-04
Applicant: Google Inc.
Inventor： Thad Eugene Starner , Irfan Essa
IPC: H04N7/18 , G06T19/00 , G06K9/00 , G06F3/01 , G06F3/00 , G06T7/00 , G06T7/20 , G02B27/01 , G06F17/30 , G06K9/46
CPC classification number: G06T19/006 , G02B27/017 , G02B2027/0178 , G06F3/005 , G06F3/017 , G06F17/30247 , G06K9/00671 , G06K9/4604 , G06K2009/4666 , G06T7/12 , G06T7/13 , G06T7/215 , G06T7/254 , G06T2207/10016 , G06T2207/10021 , G06T2207/10024 , G06T2207/20076 , G06T2207/20096 , G06T2207/20112
Abstract: Methods and devices for initiating a search of an object are disclosed. In one embodiment, a method is disclosed that includes receiving sensor data from a sensor on a wearable computing device and, based on the sensor data, detecting a movement that defines an outline of an area in the sensor data. The method further includes identifying an object that is located in the area and initiating a search on the object. In another embodiment, a server is disclosed that includes an interface configured to receive sensor data from a sensor on a wearable computing device, at least one processor, and data storage comprising instructions executable by the at least one processor to detect, based on the sensor data, a movement that defines an outline of an area in the sensor data, identify an object that is located in the area, and initiate a search on the object.
Abstract translation: 公开了用于发起对象的搜索的方法和装置。 在一个实施例中，公开了一种方法，其包括从可穿戴计算设备上的传感器接收传感器数据，并且基于传感器数据，检测限定传感器数据中的区域轮廓的移动。 该方法还包括识别位于该区域中的对象并且开始对该对象的搜索。 在另一个实施例中，公开了一种服务器，其包括被配置为从可穿戴计算设备上的传感器接收传感器数据的接口，至少一个处理器，以及数据存储器，其包括可由所述至少一个处理器执行的指令，以基于所述传感器 数据，定义传感器数据中的区域的轮廓的运动，识别位于该区域中的对象，并且启动对对象的搜索。
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7.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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8.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：US20180350131A1
公开(公告)日：2018-12-06
申请号：US14587420
申请日：2014-12-31
Applicant: Google Inc.
Inventor： Irfan Essa , Vivek Kwatra , Matthias Grundmann
IPC: G06T15/10
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for video segmentation. One of the methods includes receiving a digital video; performing hierarchical graph-based video segmentation on at least one frame of the digital video to generate a boundary representation for the at least one frame; generating a vector representation from the boundary representation for the at least one frame of the digital video, wherein generating the vector representation includes generating a polygon composed of at least three vectors, wherein each vector comprises two vertices connected by a line segment, from a boundary in the boundary representation; linking the vector representation to the at least one frame of the digital video; and storing the vector representation with the at least one frame of the digital video.
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公开(公告)号：US20170195575A1
公开(公告)日：2017-07-06
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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