公开(公告)号：US09411412B1

公开(公告)日：2016-08-09

申请号：US14307333

申请日：2014-06-17

Applicant: Amazon Technologies, Inc.

Inventor： Kritarth Jain ,  Franklin Munoz Garcia ,  Paul Aksenti Savastinuk ,  Timothy Andrew Ong ,  Ross David Roessler

IPC: G06K9/00 ,  G06F3/01

CPC classification number: G06F3/012 ,  G06F3/017 ,  G06F3/0386

Abstract: A computing device can be controlled based on changes in the angle of a user's head with respect to the device, such as due to the user tilting the device and/or the user tilting his head with respect to the device. Such control based on the angle of the user's head can be achieved even when the user is operating the device “off-axis” or when the device is not orthogonal and/or not centered with respect to the user. This can be accomplished by using an elastic reference point that dynamically adjusts to a detected angle of the user's head with respect to the device. Such an approach can account for differences between when the user is changing his natural resting position and/or the resting position of the device and when the user is intending to perform a gesture based on the angle of the user's head relative to the device.

Abstract translation: 可以基于用户头部相对于设备的角度的变化来控制计算设备，例如由于用户倾斜设备和/或用户相对于设备倾斜他的头部。 即使当用户操作设备“离轴”或者当设备不是正交的和/或不相对于用户居中时，也可以实现基于用户头部的角度的这种控制。 这可以通过使用弹性参考点来实现，弹性参考点相对于设备动态地调整到用户头部的检测角度。 这种方法可以解释用户何时改变自身静止位置和/或设备的静止位置以及用户打算基于用户头部相对于设备的角度执行手势之间的差异。

公开(公告)号：US10084959B1

公开(公告)日：2018-09-25

申请号：US14750975

申请日：2015-06-25

Applicant: Amazon Technologies, Inc.

Inventor： Tsz Ho Yu ,  Jim Oommen Thomas ,  Cheng-Hao Kuo ,  Yinfei Yang ,  Ross David Roessler ,  Paul Aksenti Savastinuk ,  William Evan Welbourne

IPC: H04N7/00 ,  H04N5/232 ,  H04N9/64 ,  H04N5/265 ,  H04N9/09

CPC classification number: H04N5/23238 ,  H04N5/2258 ,  H04N5/265 ,  H04N9/09 ,  H04N9/643 ,  H04N9/76

Abstract: A video capture device may include multiple cameras that simultaneously capture video data. The video capture device and/or one or more remote computing resources may stitch the video data captured by the multiple cameras to generate stitched video data that corresponds to 360° video. The remote computing resources may apply one or more algorithms to the stitched video data to adjust the color characteristics of the stitched video data, such as lighting, exposure, white balance contrast, and saturation. The remote computing resources may further smooth the transition between the video data captured by the multiple cameras to reduce artifacts such as abrupt changes in color as a result of the individual cameras of the video capture device having different video capture settings. The video capture device and/or the remote computing resources may generate a panoramic video that may include up to a 360° field of view.

公开(公告)号：US10082936B1

公开(公告)日：2018-09-25

申请号：US14527460

申请日：2014-10-29

Applicant: Amazon Technologies, Inc.

Inventor： Michael Joseph Dillon ,  Steven Scott Noble ,  Paul Aksenti Savastinuk ,  Ross David Roessler

IPC: G06F3/041 ,  G06F3/0484 ,  G06F3/01 ,  G06G7/188 ,  G06F3/0488

CPC classification number: G06F3/0484 ,  G06F1/1626 ,  G06F1/1694 ,  G06F3/017 ,  G06F3/0346 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/0488 ,  G06F3/04886 ,  G06N20/00

Abstract: The hand which a user is using to hold an electronic device can be determined by analyzing data captured by one or more motion sensors on the device. The curvature to the motion can be indicative of handedness, and processing motion features using a classifier algorithm can enable the determination of handedness with a corresponding confidence. In some embodiments, motion data is collected over a monitoring window, and handedness values are accepted when the handedness value remains the same with at least a minimum confidence for at least a minimum number of window periods. A determination of handedness enables an operating system and/or applications executing on the device to adjust one or more operational or interface aspects in order to make it easier for the user to operate the device using the hand currently holding the device.

公开(公告)号：US20160381306A1

公开(公告)日：2016-12-29

申请号：US14753826

申请日：2015-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Yinfei Yang ,  William Evan Welbourne ,  Ross David Roessler ,  Paul Aksenti Savastinuk ,  Cheng-Hao Kuo ,  Jim Oommen Thomas ,  Tsz Ho Yu

IPC: H04N5/262 ,  G11B27/06 ,  H04N5/232 ,  G11B27/031

CPC classification number: H04N5/2628 ,  G06K9/00711 ,  G06K9/00751 ,  G06K9/3233 ,  G06T3/40 ,  G11B27/031 ,  G11B27/06 ,  H04N5/23238

Abstract: Devices, systems and methods are disclosed for identifying content in video data and creating content-based zooming and panning effects to emphasize the content. Contents may be detected and analyzed in the video data using computer vision, machine learning algorithms or specified through a user interface. Panning and zooming controls may be associated with the contents, panning or zooming based on a location and size of content within the video data. The device may determine a number of pixels associated with content and may frame the content to be a certain percentage of the edited video data, such as a close-up shot where a subject is displayed as 50% of the viewing frame. The device may identify an event of interest, may determine multiple frames associated with the event of interest and may pan and zoom between the multiple frames based on a size/location of the content within the multiple frames.

Abstract translation: 公开了用于识别视频数据中的内容并创建基于内容的缩放和平移效果以强调内容的装置，系统和方法。 可以使用计算机视觉，机器学习算法或通过用户界面指定在视频数据中检测和分析内容。 基于视频数据内的内容的位置和大小，平移和缩放控件可以与内容，平移或缩放相关联。 设备可以确定与内容相关联的多个像素，并且可以将内容构成为编辑的视频数据的特定百分比，例如被摄体显示为观看帧的50％的特写镜头。 设备可以识别感兴趣的事件，可以确定与感兴趣事件相关联的多个帧，并且可以基于多个帧内的内容的大小/位置来在多个帧之间进行平移和缩放。

公开(公告)号：US09354709B1

公开(公告)日：2016-05-31

申请号：US14306771

申请日：2014-06-17

Applicant: Amazon Technologies, Inc.

Inventor： Geoffrey Scott Heller ,  Kritarth Jain ,  Louis LeRoi LeGrand, III ,  Ross David Roessler ,  Paul Aksenti Savastinuk

IPC: G06F3/01 ,  G06F1/16

CPC classification number: G06F3/017 ,  G06F1/1694 ,  G06F3/0346 ,  G06F2200/1637

Abstract: A device may recognize a tilt gesture when a device rotates about an axis and then back again. The gesture may be recognized using a state machine. Recognition of the gesture may be performed based on a context of a device, where the specific movement of the device during a tilt gesture may change based on the context. The tilt gesture may be confirmed using a classifier trained on features describing the gesture and the context.

Abstract translation: 当设备围绕轴旋转然后再次返回时，设备可以识别倾斜手势。 可以使用状态机识别手势。 可以基于设备的上下文来执行手势的识别，其中在倾斜姿态期间设备的特定移动可以基于上下文而改变。 可以使用对描述手势和上下文的特征进行训练的分类器来确认倾斜手势。