公开(公告)号：US20170138754A1

公开(公告)日：2017-05-18

申请号：US15420331

申请日：2017-01-31

Applicant: Google Inc.

Inventor： Henry Rowley ,  Shumeet Baluja

IPC: G01C21/34 ,  G08G1/0968 ,  G06Q30/02 ,  G01C21/36

CPC classification number: G01C21/3605 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G08G1/096811 ,  G08G1/096838 ,  G08G1/096844 ,  G08G1/096883 ,  G08G1/096888

Abstract: A computer-implemented method of providing personalized route information involves gathering a plurality of past location indicators over time for a wireless client device, determining a future driving objective using the plurality of previously-gathered location indicators, obtaining real-time traffic data for an area proximate to the determined driving objective, and generating a suggested route for the driving objective using the near real-time traffic data.

公开(公告)号：US08798917B2

公开(公告)日：2014-08-05

申请号：US13964004

申请日：2013-08-09

Applicant: Google Inc.

Inventor： Henry Rowley ,  Shumeet Baluja

IPC: G01C21/34

CPC classification number: G01C21/3605 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G08G1/096811 ,  G08G1/096838 ,  G08G1/096844 ,  G08G1/096883 ,  G08G1/096888

Abstract: A computer-implemented method of providing personalized route information involves gathering a plurality of past location indicators over time for a wireless client device, determining a future driving objective using the plurality of previously-gathered location indicators, obtaining real-time traffic data for an area proximate to the determined driving objective, and generating a suggested route for the driving objective using the near real-time traffic data.

Abstract translation: 提供个性化路线信息的计算机实现方法包括随着时间的推移为无线客户端设备收集多个过去的位置指示符，使用多个先前收集的位置指示符确定未来的驾驶目标，获得区域的实时交通数据 靠近所确定的驾驶目标，并且使用近实时话务数据生成用于驾驶目标的建议路线。

公开(公告)号：US09778055B2

公开(公告)日：2017-10-03

申请号：US15420331

申请日：2017-01-31

Applicant: Google Inc.

Inventor： Henry Rowley ,  Shumeet Baluja

IPC: G01C21/34 ,  G08G1/0968 ,  G01C21/36 ,  G06Q30/02

CPC classification number: G01C21/3605 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G08G1/096811 ,  G08G1/096838 ,  G08G1/096844 ,  G08G1/096883 ,  G08G1/096888

Abstract: A computer-implemented method of providing personalized route information involves gathering a plurality of past location indicators over time for a wireless client device, determining a future driving objective using the plurality of previously-gathered location indicators, obtaining real-time traffic data for an area proximate to the determined driving objective, and generating a suggested route for the driving objective using the near real-time traffic data.

公开(公告)号：US20170289337A1

公开(公告)日：2017-10-05

申请号：US15090836

申请日：2016-04-05

Applicant: Google Inc.

Inventor： Li-Lun Wang ,  Victor Carbune ,  Dhyanesh Narayanan ,  Henry Rowley ,  Thomas Deselaers

IPC: H04M1/725 ,  G06N3/08 ,  G06F3/0488 ,  G06F3/0484 ,  G06F17/24

CPC classification number: H04M1/72552 ,  G06F3/0484 ,  G06F3/04883 ,  G06F17/242 ,  G06F17/243 ,  G06N3/08 ,  H04M2250/70

Abstract: The present disclosure provides systems and methods for text entry through handwritten shorthand stroke patterns. One example computer-implemented method includes receiving, by a mobile computing device, data descriptive of an input stroke pattern entered by a user. The input stroke pattern includes one or more strokes that approximate a non-linguistic symbol. The method includes identifying, by the mobile computing devices, one of a plurality of shorthand stroke patterns as a matched shorthand pattern to which the input stroke pattern corresponds. The plurality of shorthand stroke patterns have been previously defined by the user. A plurality of output text strings are respectively associated with the plurality of shorthand stroke patterns. The method further includes, in response to identifying the matched shorthand pattern, entering, by the mobile computing device, the output text string associated with the matched shorthand pattern into a text entry field.

公开(公告)号：US09709415B2

公开(公告)日：2017-07-18

申请号：US14315274

申请日：2014-06-25

Applicant: Google Inc.

Inventor： Henry Rowley ,  Shumeet Baluja

IPC: G01C21/26 ,  G01C21/36 ,  G06Q30/02 ,  G08G1/0968 ,  G01C21/34

CPC classification number: G01C21/3605 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G08G1/096811 ,  G08G1/096838 ,  G08G1/096844 ,  G08G1/096883 ,  G08G1/096888

Abstract: A computer-implemented method of providing personalized route information involves gathering a plurality of past location indicators over time for a wireless client device, determining a future driving objective using the plurality of previously-gathered location indicators, obtaining real-time traffic data for an area proximate to the determined driving objective, and generating a suggested route for the driving objective using the near real-time traffic data.

公开(公告)号：US09135674B1

公开(公告)日：2015-09-15

申请号：US14092515

申请日：2013-11-27

Applicant: Google Inc.

Inventor： Jay Yagnik ,  Henry Rowley ,  Sergey Ioffe

IPC: G06F17/00 ,  G06T1/00

CPC classification number: G06T1/0021 ,  G06F17/30784 ,  G06F17/30787 ,  G06K9/00744 ,  G06K9/00758

Abstract: A method and system generates and compares fingerprints for videos in a video library. The video fingerprints provide a compact representation of the temporal locations of discontinuities in the video that can be used to quickly and efficiently identify video content. Discontinuities can be, for example, shot boundaries in the video frame sequence or silent points in the audio stream. Because the fingerprints are based on structural discontinuity characteristics rather than exact bit sequences, visual content of videos can be effectively compared even when there are small differences between the videos in compression factors, source resolutions, start and stop times, frame rates, and so on. Comparison of video fingerprints can be used, for example, to search for and remove copyright protected videos from a video library. Furthermore, duplicate videos can be detected and discarded in order to preserve storage space.

Abstract translation: 方法和系统生成并比较视频库中视频的指纹。 视频指纹提供了可以用于快速和有效地识别视频内容的视频中的不连续性的时间位置的紧凑表示。 不连续可以是例如视频帧序列中的镜头边界或音频流中的无声点。 因为指纹是基于结构不连续特征而不是精确的比特序列，所以即使在压缩因素，源分辨率，开始和停止时间，帧率等之间的视频之间存在小的差异，也可以有效地比较视频的视觉内容 。 可以使用比较视频指纹，例如，从视频库搜索和删除受版权保护的视频。 此外，为了保存存储空间，可以检测和丢弃重复的视频。