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公开(公告)号：US20070053585A1
公开(公告)日：2007-03-08
申请号：US11142817
申请日：2005-05-31
申请人： Rong Xiao , Lei Zhang , Yan-Feng Sun , Wei-Ying Ma
发明人： Rong Xiao , Lei Zhang , Yan-Feng Sun , Wei-Ying Ma
CPC分类号： G06K9/00248
摘要： A method and system for detecting faces at different views within images that allocates the computational effort based on a prior probability associated with a view is provided. A face detection system determines whether an image contains a face using detectors that are adapted to detect faces at various views and a filter that filters out windows of the image that are provided to a detector based on a prior probability associated with the view of the detector. Each view has an associated prior probability that a face from a collection of real-life home photographs will be at that view. The face detection system allocates increasing computational effort to a detector as the prior probability of its view increases.
摘要翻译： 提供了一种用于在图像内的不同视图处检测面部的方法和系统，该方法和系统基于与视图相关联的先验概率来分配计算量。 面部检测系统基于与检测器的视图相关联的先验概率来确定图像是否包含使用适于检测各种视图的面部的检测器的面部和滤波器，该滤波器滤除提供给检测器的图像的窗口 。 每个视图具有相关联的先前概率，即来自现实家庭照片的集合的面部将在该视图中。 面部检测系统随着其视图的先前概率增加而将增加的计算量分配给检测器。
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公开(公告)号：US07590267B2
公开(公告)日：2009-09-15
申请号：US11142817
申请日：2005-05-31
申请人： Rong Xiao , Lei Zhang , Yan-Feng Sun , Wei-Ying Ma
发明人： Rong Xiao , Lei Zhang , Yan-Feng Sun , Wei-Ying Ma
CPC分类号： G06K9/00248
摘要： A method and system for detecting faces at different views within images that allocates the computational effort based on a prior probability associated with a view is provided. A face detection system determines whether an image contains a face using detectors that are adapted to detect faces at various views and a filter that filters out windows of the image that are provided to a detector based on a prior probability associated with the view of the detector. Each view has an associated prior probability that a face from a collection of real-life home photographs will be at that view. The face detection system allocates increasing computational effort to a detector as the prior probability of its view increases.
摘要翻译： 提供了一种用于在图像内的不同视图处检测面部的方法和系统，该方法和系统基于与视图相关联的先验概率来分配计算量。 面部检测系统基于与检测器的视图相关联的先验概率来确定图像是否包含使用适于检测各种视图的面部的检测器的面部和滤波器，该滤波器滤除提供给检测器的图像的窗口 。 每个视图具有相关联的先前概率，即来自现实家庭照片的集合的面部将在该视图中。 面部检测系统随着其视图的先前概率增加而将增加的计算量分配给检测器。
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公开(公告)号：US08954425B2
公开(公告)日：2015-02-10
申请号：US12796345
申请日：2010-06-08
申请人： Rong Xiao , Qiang Hao , Changhu Wang , Rui Cai , Lei Zhang
发明人： Rong Xiao , Qiang Hao , Changhu Wang , Rui Cai , Lei Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30241
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 are described that facilitate automatically extracting snippets. These techniques include, for example, computer annotating travelogues with learned tags and images, performing topic learning to obtain an interest model, performing location matching based on the interest model, calculating geographic and semantic relevance scores, ranking snippets based on the geographic and semantic relevance scores, and searching snippets with a “location+context term” query.
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。 描述了便于自动提取代码段的技术。 这些技术包括例如计算机注释具有学习标签和图像的旅行记录，执行主题学习以获得兴趣模型，基于兴趣模型执行位置匹配，计算地理和语义相关性分数，基于地理和语义相关性来排序片段 分数和搜索带有“位置+上下文术语”查询的片段。
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公开(公告)号：US20110302162A1
公开(公告)日：2011-12-08
申请号：US12796345
申请日：2010-06-08
申请人： Rong Xiao , Qiang Hao , Changhu Wang , Rui Cai , Lei Zhang
发明人： Rong Xiao , Qiang Hao , Changhu Wang , Rui Cai , Lei Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30241
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 are described that facilitate automatically extracting snippets. These techniques include, for example, computer annotating travelogues with learned tags and images, performing topic learning to obtain an interest model, performing location matching based on the interest model, calculating geographic and semantic relevance scores, ranking snippets based on the geographic and semantic relevance scores, and searching snippets with a “location+context term” query.
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。 描述了便于自动提取代码段的技术。 这些技术包括例如计算机注释具有学习标签和图像的旅行记录，执行主题学习以获得兴趣模型，基于兴趣模型执行位置匹配，计算地理和语义相关性分数，基于地理和语义相关性来排序片段 分数和搜索带有“位置+上下文术语”查询的片段。
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公开(公告)号：US20110264664A1
公开(公告)日：2011-10-27
申请号：US12764989
申请日：2010-04-22
申请人： Rong Xiao , Jiangming Yang , Lei Zhang , Xingrong Chen
发明人： Rong Xiao , Jiangming Yang , Lei Zhang , Xingrong Chen
IPC分类号： 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。
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公开(公告)号：US08977632B2
公开(公告)日：2015-03-10
申请号：US12568749
申请日：2009-09-29
申请人： Rong Xiao , Jiangming Yang , Lei Zhang , Xingrong Chen
发明人： Rong Xiao , Jiangming Yang , Lei Zhang , Xingrong Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/30241 , G06F17/3087 , Y10S707/919
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。
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公开(公告)号：US20120301014A1
公开(公告)日：2012-11-29
申请号：US13118282
申请日：2011-05-27
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。
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公开(公告)号：US20110078575A1
公开(公告)日：2011-03-31
申请号：US12568735
申请日：2009-09-29
申请人： Rong Xiao , Jiangming Yang , Lei Zhang , Xingrong Chen
发明人： Rong Xiao , Jiangming Yang , Lei Zhang , Xingrong Chen
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。
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公开(公告)号：US07689033B2
公开(公告)日：2010-03-30
申请号：US10621260
申请日：2003-07-16
申请人： Rong Xiao , Long Zhu , Lei Zhang , Mingjing Li , Hong-Jiang Zhang
发明人： Rong Xiao , Long Zhu , Lei Zhang , Mingjing Li , Hong-Jiang Zhang
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。
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公开(公告)号：US08281246B2
公开(公告)日：2012-10-02
申请号：US12568735
申请日：2009-09-29
申请人： Rong Xiao , Jiangming Yang , Lei Zhang , Xingrong Chen
发明人： Rong Xiao , Jiangming Yang , Lei Zhang , Xingrong Chen
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。
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