Identifying location names within document text
    71.
    发明授权
    Identifying location names within document text 有权
    在文档文本中标识位置名称

    公开(公告)号:US08676807B2

    公开(公告)日:2014-03-18

    申请号:US12764989

    申请日:2010-04-22

    IPC分类号: G06F7/00 G06F17/30

    CPC分类号: G06F17/30613

    摘要: Concepts and technologies are described herein for identifying location names within document text. Through an implementation of the concepts and technologies presented herein, functionality can be provided for identifying location names within articles, websites, travelogues, or other such documents. For instance, documents containing the names of cities, regions, countries, landmarks, or other locations may be associated with those locations. The location names may be unambiguously identified even when the location names may also have common word meanings that are not location associated or when the location name may be associated with more than one location.

    摘要翻译: 这里描述了用于识别文档文本内的位置名称的概念和技术。 通过实施本文提出的概念和技术,可以提供功能来识别文章,网站,旅游文档或其他此类文档中的位置名称。 例如,包含城市,地区,国家,地标或其他地点名称的文件可能与这些位置相关联。 即使当位置名称也可以具有不是位置相关联的公共字义,或者位置名称可能与多于一个位置相关联时,位置名称可以被明确地识别。

    Travelogue-based travel route planning
    72.
    发明授权
    Travelogue-based travel route planning 有权
    旅行路线规划

    公开(公告)号:US08275546B2

    公开(公告)日:2012-09-25

    申请号:US12568725

    申请日:2009-09-29

    IPC分类号: G01C21/34

    CPC分类号: G01C21/3476 G01C21/343

    摘要: A location extraction component analyzes a set of travelogues to identify locations mentioned therein. A co-occurrence extraction component computes co-occurrence values for the identified locations. When a request to generate a travel route from a starting location to an ending location is received, suggested locations on or near the travel route are identified through the use of the co-occurrence values. A suggested travel route is then generated that passes through the starting location, the ending location, and the suggested locations. A map may be displayed showing the starting location, the ending location, the suggested locations, and the suggested travel route.

    摘要翻译: 位置提取组件分析一组旅行记录以识别其中提到的位置。 同现提取组件计算所识别位置的同现值。 当接收到从起始位置到结束位置生成旅行路线的请求时,通过使用共现值来识别行进路线上或附近的建议位置。 然后产生经过起始位置,结束位置和建议位置的建议行进路线。 可以显示地图,显示起始位置,结束位置,建议位置和建议的行驶路线。

    Mining Topic-Related Aspects From User Generated Content
    73.
    发明申请
    Mining Topic-Related Aspects From User Generated Content 有权
    从用户生成的内容中挖掘与主题相关的方面

    公开(公告)号:US20110302124A1

    公开(公告)日:2011-12-08

    申请号:US12796303

    申请日:2010-06-08

    IPC分类号: G06N5/02 G06F17/30

    CPC分类号: G06F17/30707

    摘要: Described herein is a technology that facilitates efficient automated mining of topic-related aspects of user generated content based on automated analysis of the user generated content. Locations are automatically learned based on dividing documents into document segments, and decomposing the segments into local topics and global topics. Techniques described herein include, for example, computer annotating travelogues with learned tags, performing topic learning to obtain an interest model, and performing location matching based on the interest model.

    摘要翻译: 这里描述了一种技术,其有助于基于对用户生成的内容的自动化分析来有效地自动挖掘用户生成的内容的主题相关方面。 根据将文档分割成文档段,自动学习位置,并将段分解为本地主题和全局主题。 本文描述的技术包括例如计算机注释具有学习标签的旅行记录,执行主题学习以获得兴趣模型,以及基于兴趣模型执行位置匹配。

    TRAVELOGUE-BASED TRAVEL ROUTE PLANNING
    74.
    发明申请
    TRAVELOGUE-BASED TRAVEL ROUTE PLANNING 有权
    基于行车路线的旅行路线规划

    公开(公告)号:US20110077848A1

    公开(公告)日:2011-03-31

    申请号:US12568725

    申请日:2009-09-29

    IPC分类号: G01C21/36

    CPC分类号: G01C21/3476 G01C21/343

    摘要: A location extraction component analyzes a set of travelogues to identify locations mentioned therein. A co-occurrence extraction component computes co-occurrence values for the identified locations. When a request to generate a travel route from a starting location to an ending location is received, suggested locations on or near the travel route are identified through the use of the co-occurrence values. A suggested travel route is then generated that passes through the starting location, the ending location, and the suggested locations. A map may be displayed showing the starting location, the ending location, the suggested locations, and the suggested travel route.

    摘要翻译: 位置提取组件分析一组旅行记录以识别其中提到的位置。 同现提取组件计算所识别位置的同现值。 当接收到从起始位置到结束位置生成旅行路线的请求时,通过使用共现值来识别行进路线上或附近的建议位置。 然后产生经过起始位置,结束位置和建议位置的建议行进路线。 可以显示地图,显示起始位置,结束位置,建议位置和建议的行驶路线。

    Travelogue locating mining for travel suggestion
    75.
    发明授权
    Travelogue locating mining for travel suggestion 有权
    旅游定位采矿旅游建议

    公开(公告)号:US08977632B2

    公开(公告)日:2015-03-10

    申请号:US12568749

    申请日:2009-09-29

    IPC分类号: G06F17/30

    摘要: A location extraction component analyzes a set of travelogues to identify all of the locations mentioned therein. A co-occurrence extraction component computes co-occurrence values for the identified locations. When the identity of a specified location is received, suggested locations for the specified location are identified through the use of the co-occurrence values. A map is displayed that encompasses an area including the specified location and the suggested locations. The map might include indicators for the specified location and for each of the suggested locations. Attributes of the indicators, such as their size or color, can be modified based upon the co-occurrence value associated with the corresponding suggested location.

    摘要翻译: 位置提取组件分析一组旅行记录以识别其中提到的所有位置。 同现提取组件计算所识别位置的同现值。 当接收到指定位置的身份时,通过使用同现值来识别指定位置的建议位置。 显示包含指定位置和建议位置的区域的地图。 地图可能包含指定位置和每个建议位置的指示符。 可以基于与相应的建议位置相关联的共现值来修改指示符的属性,例如其大小或颜色。

    LEARNING TO RANK LOCAL INTEREST POINTS
    76.
    发明申请
    LEARNING TO RANK LOCAL INTEREST POINTS 审中-公开
    学习排名本地兴趣点

    公开(公告)号:US20120301014A1

    公开(公告)日:2012-11-29

    申请号:US13118282

    申请日:2011-05-27

    IPC分类号: G06K9/62 G06K9/46

    CPC分类号: G06K9/4676 G06F16/583

    摘要: Tools and techniques for learning to rank local interest points from images using a data-driven scale-invariant feature transform (SIFT) approach termed “Rank-SIFT” are described herein. Rank-SIFT provides a flexible framework to select stable local interest points using supervised learning. A Rank-SIFT application detects interest points, learns differential features, and implements ranking model training in the Gaussian scale space (GSS). In various implementations a stability score is calculated for ranking the local interest points by extracting features from the GSS and characterizing the local interest points based on the features being extracted from the GSS across images containing the same visual objects.

    摘要翻译: 本文描述了使用称为Rank-SIFT的数据驱动的尺度不变特征变换(SIFT)方法学习从图像对本地兴趣点进行排名的工具和技术。 Rank-SIFT提供了一个灵活的框架,使用监督学习选择稳定的本地兴趣点。 Rank-SIFT应用程序检测兴趣点,学习差异特征,并实现高斯尺度空间(GSS)中的排名模型训练。 在各种实施方式中,通过从GSS提取特征并基于从包含相同视觉对象的图像从GSS提取的特征来表征局部兴趣点来计算稳定性分数以对局部兴趣点进行排名。

    TRAVELOGUE-BASED CONTEXTUAL MAP GENERATION
    77.
    发明申请
    TRAVELOGUE-BASED CONTEXTUAL MAP GENERATION 有权
    基于旅游的背景图生成

    公开(公告)号:US20110078575A1

    公开(公告)日:2011-03-31

    申请号:US12568735

    申请日:2009-09-29

    IPC分类号: G06F3/00

    CPC分类号: G06F17/30241

    摘要: A map user interface control provides functionality for displaying a map in conjunction with the display of a Web page. The map control operates in combination with a location extraction component that analyzes the contents of the Web page to identify locations mentioned therein. Once the location extraction component has identified the locations mentioned in the Web page, a map is generated that encompasses the locations identified in the Web page. Once the map has been generated, the map control displays the map in conjunction with the display of the Web page. The map might include visual indicators corresponding to the locations mentioned in the Web page. The map might also include visual indicators corresponding to other locations near the locations identified in the Web page that have been identified using co-occurrence values generated through an analysis of a set of travelogues.

    摘要翻译: 地图用户界面控件提供了与网页的显示一起显示地图的功能。 地图控制与位置提取组件结合操作,分析网页的内容以识别其中提到的位置。 一旦位置提取组件已经识别出网页中提到的位置,则生成包含网页中标识的位置的地图。 生成地图后,地图控件会与网页的显示一起显示地图。 地图可能包括与网页中提到的位置相对应的可视指示符。 地图还可以包括与网页中识别的位置附近的其他位置相对应的可视指示符,这些位置是使用通过一组旅行记录分析生成的共现值来识别的。

    Robust multi-view face detection methods and apparatuses
    78.
    发明授权
    Robust multi-view face detection methods and apparatuses 有权
    强大的多视角人脸检测方法和装置

    公开(公告)号:US07689033B2

    公开(公告)日:2010-03-30

    申请号:US10621260

    申请日:2003-07-16

    CPC分类号: G06K9/4614 G06K9/00228

    摘要: Face detection techniques are provided that use a multiple-stage face detection algorithm. An exemplary three-stage algorithm includes a first stage that applies linear-filtering to enhance detection performance by removing many non-face-like portions within an image, a second stage that uses a boosting chain that is adopted to combine boosting classifiers within a hierarchy “chain” structure, and a third stage that performs post-filtering using image pre-processing, SVM-filtering and color-filtering to refine the final face detection prediction. In certain further implementations, the face detection techniques include a two-level hierarchy in-plane pose estimator to provide a rapid multi-view face detector that further improves the accuracy and robustness of face detection.

    摘要翻译: 提供了使用多级面部检测算法的人脸检测技术。 示例性的三阶段算法包括第一阶段,其通过去除图像内的许多非面部部分来应用线性滤波以增强检测性能;第二阶段,其使用用于组合层级内的增强分类器的升压链 “链”结构,以及使用图像预处理,SVM滤波和颜色滤波来完成最终面部检测预测来执行后置滤波的第三阶段。 在某些进一步的实施方式中,面部检测技术包括两层次平面姿态估计器,以提供进一步提高面部检测的准确性和鲁棒性的快速多视角面部检测器。

    Location context mining
    79.
    发明授权
    Location context mining 有权
    位置上下文挖掘

    公开(公告)号:US08572076B2

    公开(公告)日:2013-10-29

    申请号:US12764977

    申请日:2010-04-22

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30616

    摘要: Concepts and technologies are described herein for mining location contexts within document text. Through an implementation of the concepts and technologies presented herein, functionality can be provided for location context mining within articles, websites, travelogues, or other such documents. A location context is a concept associated with a specific location. For example, the contexts “beach” and “hula” are associated with Hawaii. Similarly, “glacier” and “polar bear” are contexts associated with Alaska. Location context mining can automatically discover locations and location contexts by mining information from a set of documents. User interfaces to support queries of the mined information are also presented herein.

    摘要翻译: 这里描述了在文档文本内挖掘位置上下文的概念和技术。 通过实施这里提出的概念和技术,可以为文章,网站,旅游文档或其他此类文档中的位置上下文挖掘提供功能。 位置上下文是与特定位置相关联的概念。 例如,“海滩”和“呼啦”的背景与夏威夷有关。 类似地,“冰川”和“北极熊”是与阿拉斯加相关的上下文。 位置上下文挖掘可以通过从一组文档挖掘信息来自动发现位置和位置上下文。 本文还介绍了支持挖掘信息查询的用户界面。

    Mining topic-related aspects from user generated content
    80.
    发明授权
    Mining topic-related aspects from user generated content 有权
    从用户生成的内容中挖掘主题相关的方面

    公开(公告)号:US08458115B2

    公开(公告)日:2013-06-04

    申请号:US12796303

    申请日:2010-06-08

    IPC分类号: G06F9/44 G06N7/02 G06N7/06

    CPC分类号: G06F17/30707

    摘要: Described herein is a technology that facilitates efficient automated mining of topic-related aspects of user generated content based on automated analysis of the user generated content. Locations are automatically learned based on dividing documents into document segments, and decomposing the segments into local topics and global topics. Techniques described herein include, for example, computer annotating travelogues with learned tags, performing topic learning to obtain an interest model, and performing location matching based on the interest model.

    摘要翻译: 这里描述了一种技术,其有助于基于对用户生成的内容的自动化分析来有效地自动挖掘用户生成的内容的主题相关方面。 根据将文档分割成文档段,自动学习位置,并将段分解为本地主题和全局主题。 本文描述的技术包括例如计算机注释具有学习标签的旅行记录,执行主题学习以获得兴趣模型,以及基于兴趣模型执行位置匹配。