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    • 1. 发明申请
    • SPATIAL DETERMINATION AND AIMING OF A MOBILE DEVICE
    • 移动设备的空间确定和定位
    • US20140018094A1
    • 2014-01-16
    • US13548218
    • 2012-07-13
    • Gilad OrenLimor LahianiFadi Haik
    • Gilad OrenLimor LahianiFadi Haik
    • H04W64/00
    • H04W64/00G01C21/20G01S19/49G01S19/53
    • Architecture that creates a multi-dimensional spatial model of a mobile device based on data obtained from sensors, such as associated with the mobile device, for example. The spatial model defines the location of the mobile device in space, as well as the device orientation (e.g., heading, and tilt). The spatial model is used to determine a target location (or point) in space at which the mobile device is aiming. The spatial model can be generated based on sensing subsystems that include, but are not limited to, geolocation subsystem (e.g., GPS-global positioning system), a directional (or heading) sensor such as a compass, and gyroscope information to calculate the device tilt relative to the target location.
    • 基于从诸如与移动设备相关联的传感器获得的数据来创建移动设备的多维空间模型的架构。 空间模型定义了移动设备在空间中的位置以及设备方向(例如,航向和倾斜)。 空间模型用于确定移动设备瞄准的空间中的目标位置(或点)。 可以基于感测子系统生成空间模型,该子系统包括但不限于地理位置子系统(例如,GPS全球定位系统),诸如指南针的定向(或航向)传感器以及用于计算设备的陀螺仪信息 相对于目标位置倾斜。
    • 4. 发明授权
    • Geographic data acquisition by user motivation
    • 用户动机进行地理数据采集
    • US08550909B2
    • 2013-10-08
    • US13157332
    • 2011-06-10
    • Elad GersonEyal OfekLimor LahianiBrian BeckmanIdo Omer
    • Elad GersonEyal OfekLimor LahianiBrian BeckmanIdo Omer
    • A63F9/24
    • G06F17/30241A63F13/12A63F2300/204A63F2300/5573A63F2300/6676A63F2300/695A63F2300/8076H04W4/02
    • Architecture that motivates and utilizes users as the means for capturing geographical data of a desired location. The architecture incentivizes users (e.g., large numbers of mobile-phone and mobile-computer users) to provide the data in the form of geolocation information trails and images captured by user devices. Thus, users take multiple pictures, for example, and can validate existing coverage of specific points of interest based on variable needs of the requestor. One motivational technique is by using augmented reality (AR) games, which include shooting targets associated with the point of interest (e.g., a street). Thus, the game can be designed for the data accumulation, which includes visual data. Additionally, the architecture can determine the areas or points of interest for validation and/or additional coverage by comparing live video data to an image database to decide of the need for update.
    • 鼓励和利用用户作为捕获所需位置的地理数据的手段的架构。 该架构激励用户(例如,大量的移动电话和移动计算机用户)以用户设备捕获的地理定位信息路径和图像的形式提供数据。 因此,用户可以采取多个图片,例如,可以根据请求者的变量需求来验证特定兴趣点的现有覆盖。 一种动机技术是通过使用增强现实(AR)游戏,其包括与兴趣点相关联的拍摄目标(例如,街道)。 因此,游戏可以被设计用于包括视觉数据的数据累积。 此外,该架构可以通过将实时视频数据与图像数据库进行比较来确定用于验证和/或附加覆盖的区域或兴趣点,以决定是否需要更新。
    • 5. 发明授权
    • Online relevance engine
    • 在线相关引擎
    • US08135739B2
    • 2012-03-13
    • US12344812
    • 2008-12-29
    • Ron KaridiRoy VarshavskyNoga AmitOded ElyadaDaniel SittonLimor LahianiHen FitoussiEran YarivBenny Schlesinger
    • Ron KaridiRoy VarshavskyNoga AmitOded ElyadaDaniel SittonLimor LahianiHen FitoussiEran YarivBenny Schlesinger
    • G06F17/30G06F7/00
    • G06F17/30864
    • Information is automatically located which is relevant to source content that a user is viewing on a user interface without requiring the user to perform an additional search or navigate links of the source content. The source content can be, e.g., a web page or a document from a word processing or email application. The relevant information can include images, videos, web pages, maps or other location-based information, people-based information and special services which aggregate different types of information. Related content is located by analyzing textual content, user behavior and connectivity relative to the source. The related content is scored for similarity to the source. Content which is sufficiently similar but not too similar is selected. Similar related content is grouped to select representative results. The selected content is filtering in multiple stages based on attribute priorities to avoid unnecessary processing of content which is filtered out an early stage.
    • 自动定位与用户正在用户界面上观看的源内容相关的信息,而不需要用户执行附加搜索或浏览源内容的链接。 源内容可以是例如网页或来自文字处理或电子邮件应用的文档。 相关信息可以包括图像,视频,网页,地图或其他基于位置的信息,基于人群的信息和聚合不同类型信息的特殊服务。 通过分析文本内容,用户行为和相对于源的连接来定位相关内容。 相关内容的得分与来源相似。 选择足够相似但不太相似的内容。 类似的相关内容被分组以选择代表性的结果。 所选择的内容是基于属性优先级在多个阶段进行过滤,以避免对早期过滤掉的内容进行不必要的处理。
    • 8. 发明申请
    • GEOGRAPHIC DATA ACQUISITION BY USER MOTIVATION
    • 用户动态的地理数据采集
    • US20120315992A1
    • 2012-12-13
    • US13157332
    • 2011-06-10
    • Elad GersonEyal OfekLimor LahianiBrian BeckmanIdo Omer
    • Elad GersonEyal OfekLimor LahianiBrian BeckmanIdo Omer
    • A63F9/24
    • G06F17/30241A63F13/12A63F2300/204A63F2300/5573A63F2300/6676A63F2300/695A63F2300/8076H04W4/02
    • Architecture that motivates and utilizes users as the means for capturing geographical data of a desired location. The architecture incentivizes users (e.g., large numbers of mobile-phone and mobile-computer users) to provide the data in the form of geolocation information trails and images captured by user devices. Thus, users take multiple pictures, for example, and can validate existing coverage of specific points of interest based on variable needs of the requestor. One motivational technique is by using augmented reality (AR) games, which include shooting targets associated with the point of interest (e.g., a street). Thus, the game can be designed for the data accumulation, which includes visual data. Additionally, the architecture can determine the areas or points of interest for validation and/or additional coverage by comparing live video data to an image database to decide of the need for update.
    • 鼓励和利用用户作为捕获所需位置的地理数据的手段的架构。 该架构激励用户(例如,大量的移动电话和移动计算机用户)以用户设备捕获的地理定位信息路径和图像的形式提供数据。 因此,用户可以采取多个图片,例如,可以根据请求者的变量需求来验证特定兴趣点的现有覆盖。 一种动机技术是通过使用增强现实(AR)游戏,其包括与兴趣点相关联的拍摄目标(例如,街道)。 因此,游戏可以被设计用于包括视觉数据的数据累积。 此外,该架构可以通过将实时视频数据与图像数据库进行比较来确定用于验证和/或附加覆盖的区域或兴趣点,以决定是否需要更新。
    • 9. 发明申请
    • ONLINE RELEVANCE ENGINE
    • 在线相关引擎
    • US20100169331A1
    • 2010-07-01
    • US12344812
    • 2008-12-29
    • Ron KaridiRoy VarshavskyNoga AmitOded ElyadaDaniel SittonLimor LahianiHen FitoussiEran YarivBenny Schlesinger
    • Ron KaridiRoy VarshavskyNoga AmitOded ElyadaDaniel SittonLimor LahianiHen FitoussiEran YarivBenny Schlesinger
    • G06F7/06G06F17/30G06F7/00
    • G06F17/30864
    • Information is automatically located which is relevant to source content that a user is viewing on a user interface without requiring the user to perform an additional search or navigate links of the source content. The source content can be, e.g., a web page or a document from a word processing or email application. The relevant information can include images, videos, web pages, maps or other location-based information, people-based information and special services which aggregate different types of information. Related content is located by analyzing textual content, user behavior and connectivity relative to the source. The related content is scored for similarity to the source. Content which is sufficiently similar but not too similar is selected. Similar related content is grouped to select representative results. The selected content is filtering in multiple stages based on attribute priorities to avoid unnecessary processing of content which is filtered out an early stage.
    • 自动定位与用户正在用户界面上观看的源内容相关的信息,而不需要用户执行附加搜索或浏览源内容的链接。 源内容可以是例如网页或来自文字处理或电子邮件应用的文档。 相关信息可以包括图像,视频,网页,地图或其他基于位置的信息,基于人群的信息和聚合不同类型信息的特殊服务。 通过分析文本内容,用户行为和相对于源的连接来定位相关内容。 相关内容的得分与来源相似。 选择足够相似但不太相似的内容。 类似的相关内容被分组以选择代表性的结果。 所选择的内容是基于属性优先级在多个阶段进行过滤,以避免对早期过滤掉的内容进行不必要的处理。