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1. 发明授权

US08458115B2 Mining topic-related aspects from user generated content 有权
标题翻译：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
申请人： Rui Cai , Qiang Hao , Changhu Wang , Rong Xiao , Lei Zhang
发明人： Rui Cai , Qiang Hao , Changhu Wang , Rong Xiao , Lei Zhang
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。

2. 发明授权

US08954425B2 Snippet extraction and ranking 有权
标题翻译：片段提取和排名
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。

3. 发明申请

US20110302162A1 Snippet Extraction and Ranking 有权
标题翻译：代码段提取和排名
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。

4. 发明申请

US20110302124A1 Mining Topic-Related Aspects From User Generated Content 有权
标题翻译：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
申请人： Rui Cai , Qiang Hao , Changhu Wang , Rong Xiao , Lei Zhang
发明人： Rui Cai , Qiang Hao , Changhu Wang , Rong Xiao , Lei Zhang
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。

5. 发明授权

US08856129B2 Flexible and scalable structured web data extraction 有权
标题翻译：灵活和可扩展的结构化网络数据提取
公开(公告)号：US08856129B2
公开(公告)日：2014-10-07
申请号：US13237142
申请日：2011-09-20
申请人： Rui Cai , Lei Zhang , Qiang Hao
发明人： Rui Cai , Lei Zhang , Qiang Hao
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/3071
摘要： This document describes techniques that label text nodes of a seed site for each of a plurality of verticals. Once a seed site is labeled for a given vertical, the techniques extract features from the labeled text nodes of the seed site. The techniques learn vertical knowledge for the seed site based on the human labels and the extracted features, and adapt the learned vertical knowledge to a new web site to automatically and accurately identify attributes and extract attribute values targeted within a given vertical for structured web data extraction.
摘要翻译：本文档描述了为多个垂直中的每一个标记种子位置的文本节点的技术。一旦种子站点被标记为给定的垂直线，该技术从种子站点的标记的文本节点提取特征。该技术基于人类标签和提取的特征学习种子站点的垂直知识，并将学习的垂直知识适应于新的网站，以自动准确地识别属性并提取针对特定垂直线的属性值，以进行结构化网络数据提取。

6. 发明申请

US20140029856A1 THREE-DIMENSIONAL VISUAL PHRASES FOR OBJECT RECOGNITION 有权
标题翻译：用于对象识别的三维视觉语法
公开(公告)号：US20140029856A1
公开(公告)日：2014-01-30
申请号：US13561718
申请日：2012-07-30
申请人： Rui Cai , Zhiwei Li , Lei Zhang , Qiang Hao
发明人： Rui Cai , Zhiwei Li , Lei Zhang , Qiang Hao
IPC分类号： G06K9/46
CPC分类号： G06K9/46 , G06K9/4676 , G06K9/469
摘要： The techniques discussed herein discover three-dimensional (3-D) visual phrases for an object based on a 3-D model of the object. The techniques then describe the 3-D visual phrases. Once described, the techniques use the 3-D visual phrases to detect the object in an image (e.g., object recognition).
摘要翻译：本文讨论的技术基于对象的3-D模型发现对象的三维（3-D）视觉短语。然后，技术描述3-D视觉短语。一旦描述，这些技术使用3-D视觉短语来检测图像中的对象（例如，对象识别）。

7. 发明申请

US20130073514A1 FLEXIBLE AND SCALABLE STRUCTURED WEB DATA EXTRACTION 有权
标题翻译：灵活和可扩展的结构化WEB数据提取
公开(公告)号：US20130073514A1
公开(公告)日：2013-03-21
申请号：US13237142
申请日：2011-09-20
申请人： Rui Cai , Lei Zhang , Qiang Hao
发明人： Rui Cai , Lei Zhang , Qiang Hao
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/3071
摘要： This document describes techniques that label text nodes of a seed site for each of a plurality of verticals. Once a seed site is labeled for a given vertical, the techniques extract features from the labeled text nodes of the seed site. The techniques learn vertical knowledge for the seed site based on the human labels and the extracted features, and adapt the learned vertical knowledge to a new web site to automatically and accurately identify attributes and extract attribute values targeted within a given vertical for structured web data extraction.
摘要翻译：本文档描述了为多个垂直中的每一个标记种子位置的文本节点的技术。一旦种子站点被标记为给定的垂直线，该技术从种子站点的标记的文本节点提取特征。该技术基于人类标签和提取的特征学习种子站点的垂直知识，并将学习的垂直知识适应于新的网站，以自动准确地识别属性并提取针对特定垂直线的属性值，以进行结构化网络数据提取。

8. 发明授权

US08983201B2 Three-dimensional visual phrases for object recognition 有权
标题翻译：用于对象识别的三维视觉短语
公开(公告)号：US08983201B2
公开(公告)日：2015-03-17
申请号：US13561718
申请日：2012-07-30
申请人： Rui Cai , Zhiwei Li , Lei Zhang , Qiang Hao
发明人： Rui Cai , Zhiwei Li , Lei Zhang , Qiang Hao
IPC分类号： G06K9/46 , G06K9/66
CPC分类号： G06K9/46 , G06K9/4676 , G06K9/469
摘要： The techniques discussed herein discover three-dimensional (3-D) visual phrases for an object based on a 3-D model of the object. The techniques then describe the 3-D visual phrases. Once described, the techniques use the 3-D visual phrases to detect the object in an image (e.g., object recognition).
摘要翻译：本文讨论的技术基于对象的3-D模型发现对象的三维（3-D）视觉短语。然后，技术描述3-D视觉短语。一旦描述，这些技术使用3-D视觉短语来检测图像中的对象（例如，对象识别）。

9. 发明申请

US20120180084A1 Method and Apparatus for Video Insertion 审中-公开
标题翻译：视频插入方法和装置
公开(公告)号：US20120180084A1
公开(公告)日：2012-07-12
申请号：US13340883
申请日：2011-12-30
申请人： Yu Huang , Qiang Hao , Hong Heather Yu
发明人： Yu Huang , Qiang Hao , Hong Heather Yu
IPC分类号： H04N7/00
CPC分类号： H04N5/2224 , G06T19/006 , H04N5/2723
摘要： An embodiment of a system and method that inserts a virtual image into a sequence of video frames. The method includes capturing geometric characteristics of the sequence of video frames, employing the captured geometric characteristics to define an area of the video frames for insertion of a virtual image, registering a video camera to the captured geometric characteristics, identifying features in the sequence of video frames to identify the defined area of video frames for insertion of the virtual image, and inserting the virtual image in the defined area. Vanishing points are estimated to determine the geometric characteristics, and the virtual image is blended with the area of video frames prior to inserting the virtual image in the defined area.
摘要翻译：将虚拟图像插入到视频帧序列中的系统和方法的实施例。该方法包括捕获视频帧序列的几何特征，采用所捕获的几何特征来定义用于插入虚拟图像的视频帧的区域，将摄像机注册到所捕获的几何特征，识别视频序列中的特征帧以识别用于插入虚拟图像的视频帧的定义区域，以及将虚拟图像插入到定义的区域中。估计消失点来确定几何特征，并且在将虚拟图像插入定义区域之前，虚拟图像与视频帧的区域混合。

10. 发明授权

US09544598B2 Methods and apparatus for pruning decision optimization in example-based data pruning compression 有权
标题翻译：在基于示例的数据修剪压缩中修剪决策优化的方法和装置
公开(公告)号：US09544598B2
公开(公告)日：2017-01-10
申请号：US13821393
申请日：2011-09-09
申请人： Qiang Hao , Dong-Qing Zhang
发明人： Qiang Hao , Dong-Qing Zhang
IPC分类号： H04N19/19 , H04N19/00 , H04N19/85 , H04N19/59 , H04N19/176 , H04N19/147 , H04N19/46 , H04N19/132
CPC分类号： H04N19/85 , H04N19/132 , H04N19/147 , H04N19/176 , H04N19/19 , H04N19/46 , H04N19/59
摘要： An apparatus includes a patch library creator for creating a first patch library from an original version of the picture and a second patch library from a reconstructed version of the picture. Each of the libraries includes a plurality of high resolution replacement patches for replacing one or more pruned blocks during a recovery of a pruned version of the picture. A pruner generates the pruned version from the first patch library, and decides whether to respectively replace original blocks with pruned blocks responsive to a comparison between a first rate-distortion estimate and a second rate-distortion estimate. The estimates are based on both a distortion component and a bitrate component. A metadata generator generates metadata from the second patch library. The metadata is for recovering the pruned version. An encoder encodes the pruned version and the metadata.
摘要翻译：一种装置包括补丁库创建器，用于从图像的原始版本创建第一补丁库，以及从图像的重构版本创建第二补丁库。每个库包括多个高分辨率替换补丁，用于在恢复修剪版本的图片期间替换一个或多个修剪的块。修剪器从第一补丁库生成修剪版本，并且响应于第一速率失真估计和第二速率失真估计之间的比较，决定是否分别用修剪的块替换原始块。估计基于失真分量和比特率分量。元数据生成器从第二个补丁库生成元数据。元数据用于恢复修剪版本。编码器对修剪的版本和元数据进行编码。

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