公开(公告)号：US10459957B2

公开(公告)日：2019-10-29

申请号：US15394564

申请日：2016-12-29

Applicant: Google Inc.

Inventor： Asaf Zomet ,  Gal Chechik ,  Michael Shynar

IPC: G06F16/33 ,  G06F16/332 ,  G06F16/9032 ,  G06F17/27 ,  G06F3/023 ,  G06F17/24 ,  G06F3/0482 ,  G06F3/0488

Abstract: Methods and apparatus related to providing user-guided term suggestions. Some implementations may be directed to identifying user input that includes at least one term and identifying a user-initiated activity near the term. An edit term may be identified based on the user-initiated activity near the term, an edit position in the edit term may be identified, and one or more candidate terms may be identified based on the edit term. Similarity measures for the candidate terms may be determined. The similarity measure of a given candidate term of the candidate terms may be based on the edit position. One or more of the candidate terms may be selected as suggested terms based on the similarity measures and the selected suggested terms provided for potential replacement of the edit term.

公开(公告)号：US20160260135A1

公开(公告)日：2016-09-08

申请号：US14638937

申请日：2015-03-04

Applicant: Google Inc.

Inventor： Asaf Zomet ,  Shlomo Reuben Urbach

IPC: G06Q30/02 ,  H04L29/08 ,  H04L12/28

CPC classification number: G06Q30/0269 ,  H04L12/2812 ,  H04L12/2829 ,  H04L12/2834 ,  H04L67/12 ,  H04L67/22

Abstract: In one embodiment, a computing system may operate within a local area network. The computing system may include a network interface configured to receive a set of content items from a content server located remotely from the computing system and the local area network, a storage element for storing the set of content items, and a processor. The processor may be configured to determine first data relating to people, objects, or some combination thereof, select at least one content item from the set of content items based at least in part on the first data relating to people, objects, or some combination thereof without communicating the first data to the content server or any other computing device outside of the local area network, and communicate the selected at least one content item to a user of the computing system.

Abstract translation: 在一个实施例中，计算系统可以在局域网内运行。 计算系统可以包括被配置为从位于远离计算系统和局域网的内容服务器接收一组内容项的网络接口，用于存储该组内容项的存储元件和处理器。 处理器可以被配置为确定与人，对象或其某种组合有关的第一数据，至少部分地基于与人，对象或某些组合相关的第一数据，从该组内容项中选择至少一个内容项 而不将第一数据传送到内部服务器或局域网之外的任何其他计算设备，并将所选择的至少一个内容项目传送给计算系统的用户。

公开(公告)号：US09235782B1

公开(公告)日：2016-01-12

申请号：US13726390

申请日：2012-12-24

Applicant: Google Inc.

Inventor： Asaf Zomet ,  Gal Chechik

IPC: G06K9/62

CPC classification number: G06K9/00281

Abstract: A system and method for searching images and identifying images with similar facial features is disclosed. In one implementation, the system includes a pre-processing module, a feature extraction module, a model creation module, a similarity identifier module and a results display module. The pre-processing module receives a facial image, determines key-points associated with a facial feature and identifies a facial area including the facial feature. The feature extraction module extracts the key-points. The model creation module creates a similarity model for determining similar facial features at least in part by comparing the facial feature from a plurality of images. The similarity identifier module applies the similarity model to the facial feature an image in relation to the facial feature in other images and determines which other image has a most similar facial feature. The results display module presents a result based at least in part on the determination.

Abstract translation: 公开了一种用于搜索图像并识别具有相似面部特征的图像的系统和方法。 在一个实现中，系统包括预处理模块，特征提取模块，模型创建模块，相似性标识模块和结果显示模块。 预处理模块接收面部图像，确定与面部特征相关联的关键点并识别包括面部特征的面部区域。 特征提取模块提取关键点。 模型创建模块至少部分地通过比较来自多个图像的面部特征来创建用于确定类似面部特征的相似性模型。 相似性标识符模块将相似度模型应用于面部特征与其他图像中的面部特征相关的图像，并确定哪个其他图像具有最相似的面部特征。 结果显示模块至少部分地基于确定呈现结果。

公开(公告)号：US20150169630A1

公开(公告)日：2015-06-18

申请号：US14075995

申请日：2013-11-08

Applicant: Google Inc.

Inventor： Michael Shynar ,  Gal Chechik ,  Asaf Zomet

IPC: G06F17/30

CPC classification number: G06F16/9537

Abstract: Systems and methods for recommending an outdoor activity geographic location are provided. In some aspects, multiple data items that are associated with a recurring time period and a destination geographic location are selected from one or more data repositories. That an outdoor activity for the user is available in the destination geographic location during the recurring time period is determined using information in the selected multiple data items and at least one characteristic of a user of a client computing device. An indication that the outdoor activity is available in the destination geographic location is provided to the client computing device.

Abstract translation: 提供了建议户外活动地理位置的系统和方法。 在一些方面，从一个或多个数据存储库中选择与循环时间段和目的地地理位置相关联的多个数据项。 使用所选择的多个数据项中的信息和客户端计算设备的用户的至少一个特征来确定在循环时间段期间在目的地地理位置中为用户提供户外活动。 向目的地地理位置提供户外活动可用的指示被提供给客户端计算设备。

公开(公告)号：US20140152847A1

公开(公告)日：2014-06-05

申请号：US13692994

申请日：2012-12-03

Applicant: GOOGLE INC.

Inventor： Asaf Zomet ,  Michael Shynar ,  Dvir Keysar ,  Gal Chechik

IPC: G06Q30/06 ,  H04N5/232

CPC classification number: G06Q30/0629

Abstract: Systems and methods are described herein for comparing products in a marketplace. An image or video of the products may be captured using a camera associated with a mobile device. User input may be received to select two or more products within the image. Machine vision techniques may be applied to specifically identify the selected products. Product features associated with each of the identified products may be retrieved and formatted into a comparison of product features. The comparison may be presented to the user.

Abstract translation: 这里描述了用于比较市场中的产品的系统和方法。 可以使用与移动设备相关联的摄像机来捕获产品的图像或视频。 可以接收用户输入以选择图像内的两个或更多个产品。 可以应用机器视觉技术来具体识别所选择的产品。 与每个识别的产品相关联的产品特征可以被检索和格式化成产品特征的比较。 该比较可以呈现给用户。

公开(公告)号：US10482551B2

公开(公告)日：2019-11-19

申请号：US14822318

申请日：2015-08-10

Applicant: Google Inc.

Inventor： Asaf Zomet ,  Dvir Keysar

IPC: G06Q50/12 ,  G06Q10/06

Abstract: Computer-implemented methods and systems of estimating wait times and food serving times at a restaurant using wearable devices include identifying from portions of sensor data that a user is seated at a restaurant table at an estimated sitting time. In addition, portions of sensor data can be used to identify that a user has started eating at a given restaurant. Time-correlated location data can be used to determine an estimated arrival time of the user at a current location. An estimated wait time can be determined from the difference between the estimated sitting time and the estimated arrival time. An estimated food serving time can be determined from the difference between estimated eating time and arrival time or eating time and sitting time. Data indicative of the estimated times can be communicated to other computing devices, evaluated across multiple users, and/or used to develop relevant notifications for surfacing to other users.

公开(公告)号：US20170110153A1

公开(公告)日：2017-04-20

申请号：US15393359

申请日：2016-12-29

Applicant: Google Inc.

Inventor： Michael Shynar ,  Asaf Zomet ,  Gal Chechik

IPC: G11B27/031 ,  H04N21/8549 ,  H04N9/82 ,  H04N21/25 ,  H04N9/87 ,  H04N5/765

CPC classification number: G11B27/031 ,  H04N5/76 ,  H04N5/765 ,  H04N9/8205 ,  H04N9/87 ,  H04N21/252 ,  H04N21/8549

Abstract: Techniques for summarizing media are described. A viewer-interaction analyzer receives a media file containing media, the media file including a plurality of segments. A segment of the media file is scored based on interactions of a set of raters. Viewer metrics on the segment of the media file are measured based on interactions with the segment of the media file by a set of viewers. A set of feature vectors are formed based on the measured viewer interactions, where feature vectors in the set of feature vectors are based on interactions of the set of viewers. A model is trained based on the set of feature vectors and the score assigned to the segment of the media file. The model is applied to segments of the media file to generate an interest rating for segments of the media file. An edited media file is generated based on segments of the media file having interest ratings that meet a criterion. The Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

公开(公告)号：US20170046800A1

公开(公告)日：2017-02-16

申请号：US14822318

申请日：2015-08-10

Applicant: Google Inc.

Inventor： Asaf Zomet ,  Dvir Keysar

IPC: G06Q50/12 ,  G06Q10/06

CPC classification number: G06Q50/12 ,  G06Q10/0631

Abstract: Computer-implemented methods and systems of estimating wait times and food serving times at a restaurant using wearable devices include identifying from portions of sensor data that a user is seated at a restaurant table at an estimated sitting time. In addition, portions of sensor data can be used to identify that a user has started eating at a given restaurant. Time-correlated location data can be used to determine an estimated arrival time of the user at a current location. An estimated wait time can be determined from the difference between the estimated sitting time and the estimated arrival time. An estimated food serving time can be determined from the difference between estimated eating time and arrival time or eating time and sitting time. Data indicative of the estimated times can be communicated to other computing devices, evaluated across multiple users, and/or used to develop relevant notifications for surfacing to other users.

Abstract translation: 计算机实现的使用可穿戴设备在饭店估计等待时间和食物服务时间的方法和系统包括在估计的休息时间从用户坐在餐桌上的传感器数据的部分识别。 此外，传感器数据的部分可以用于识别用户已经在给定餐馆开始吃饭。 时间相关位置数据可用于确定用户在当前位置处的估计到达时间。 估计的等待时间可以根据预计的休假时间与估计到达时间之间的差异来确定。 估计的食物服务时间可以根据估计的饮食时间与到达时间，饮食时间和休息时间之间的差异来确定。 指示估计时间的数据可以传达给其他计算设备，在多个用户之间进行评估，和/或用于开发相关通知，以便表达到其他用户。

公开(公告)号：US08938358B1

公开(公告)日：2015-01-20

申请号：US13868485

申请日：2013-04-23

Applicant: Google Inc.

Inventor： Michael Shynar ,  Asaf Zomet

IPC: G01C21/34

CPC classification number: G01C21/3617 ,  G01C21/362 ,  G01C21/3679

Abstract: A system and method for suggesting alternative travel destinations is disclosed. In one embodiment, the method may generally include receiving, at a computing device, a query from a client device associated with a requested travel destination. The requested travel destination may be at a first geographic location. The method may also include analyzing travel pattern data for at least one user that previously requested travel directions to the requested travel destination to identify at least one second geographic location that is associated with the requested travel destination. The travel pattern data may include information associated with a location of the at least one user after requesting the travel directions. In addition, the method may include transmitting to the client device a suggestion for at least one alternative travel destination based on the at least one second geographic location.

Abstract translation: 公开了一种建议替代旅行目的地的系统和方法。 在一个实施例中，该方法通常可以包括在计算设备处接收来自与所请求旅行目的地相关联的客户端设备的查询。 所请求的旅行目的地可以在第一地理位置。 所述方法还可以包括分析至少一个用户的旅行模式数据，所述至少一个用户先前请求到所请求的旅行目的地的旅行方向，以识别与所请求的旅行目的地相关联的至少一个第二地理位置。 旅行模式数据可以在请求旅行方向之后包括与至少一个用户的位置相关联的信息。 此外，该方法可以包括基于至少一个第二地理位置向客户端设备发送至少一个替代旅行目的地的建议。

公开(公告)号：US09972356B2

公开(公告)日：2018-05-15

申请号：US15393359

申请日：2016-12-29

Applicant: Google Inc.

Inventor： Michael Shynar ,  Asaf Zomet ,  Gal Chechik

IPC: G11B27/031 ,  H04N9/87 ,  H04N5/765 ,  H04N21/8549 ,  H04N9/82 ,  H04N21/25

CPC classification number: G11B27/031 ,  H04N5/76 ,  H04N5/765 ,  H04N9/8205 ,  H04N9/87 ,  H04N21/252 ,  H04N21/8549

Abstract: Techniques for summarizing media are described. A viewer-interaction analyzer receives a media file containing media, the media file including a plurality of segments. A segment of the media file is scored based on interactions of a set of raters. Viewer metrics on the segment of the media file are measured based on interactions with the segment of the media file by a set of viewers. A set of feature vectors are formed based on the measured viewer interactions, where feature vectors in the set of feature vectors are based on interactions of the set of viewers. A model is trained based on the set of feature vectors and the score assigned to the segment of the media file. The model is applied to segments of the media file to generate an interest rating for segments of the media file. An edited media file is generated based on segments of the media file having interest ratings that meet a criterion. The Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.