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1. 发明授权

US08340360B2 System and method for fusing vector data with imagery 失效
标题翻译：用图像融合矢量数据的系统和方法
公开(公告)号：US08340360B2
公开(公告)日：2012-12-25
申请号：US13158301
申请日：2011-06-10
申请人： Ching-Chien Chen , Dipsy Kapoor , Craig A. Knoblock , Cyrus Shahabi
发明人： Ching-Chien Chen , Dipsy Kapoor , Craig A. Knoblock , Cyrus Shahabi
IPC分类号： G06K9/46
CPC分类号： G06T7/75 , G06T2207/10032 , G06T2207/30184
摘要： Automatic conflation systems and techniques which provide vector-imagery conflation and map-imagery conflation. Vector-imagery conflation is an efficient approach that exploits knowledge from multiple data sources to identify a set of accurate control points. Vector-imagery conflation provides automatic and accurate alignment of various vector datasets and imagery, and is appropriate for GIS applications, for example, requiring alignment of vector data and imagery over large geographical regions. Map-imagery conflation utilizes common vector datasets as “glue” to automatically integrate street maps with imagery. This approach provides automatic, accurate, and intelligent images that combine the visual appeal and accuracy of imagery with the detailed attribution information often contained in such diverse maps. Both conflation approaches are applicable for GIS applications requiring, for example, alignment of vector data, raster maps, and imagery. If desired, the conflated data generated by such systems may be retrieved on-demand.
摘要翻译：自动融合系统和技术，提供矢量图像融合和地图图像融合。矢量图像混合是一种有效的方法，利用来自多个数据源的知识来识别一组精确的控制点。矢量图像融合提供了各种矢量数据集和图像的自动和准确对齐，适用于GIS应用，例如，需要在大地理区域上对齐矢量数据和图像。地图图像融合利用常用的矢量数据集作为胶水，自动将街道地图与图像整合。这种方法提供自动，准确和智能的图像，将图像的视觉吸引力和准确性与通常包含在这种不同地图中的详细归属信息相结合。两种融合方法都适用于需要例如矢量数据，光栅图和图像对齐的GIS应用。如果需要，可以根据需要检索由这样的系统生成的混合数据。

2. 发明申请

US20090030746A1 PERFORMING PREDICTIVE PRICING BASED ON HISTORICAL DATA 有权
标题翻译：基于历史数据进行预测定价
公开(公告)号：US20090030746A1
公开(公告)日：2009-01-29
申请号：US12044229
申请日：2008-03-07
申请人： Oren Etzioni , Alexander Yates , Craig A. Knoblock , Rattapoom Tuchinda
发明人： Oren Etzioni , Alexander Yates , Craig A. Knoblock , Rattapoom Tuchinda
IPC分类号： G06Q50/00 , G06F17/00 , G06Q10/00
CPC分类号： G06Q30/0206 , G06Q10/02 , G06Q10/06 , G06Q30/0202 , G06Q30/0273 , G06Q30/0283 , G06Q30/0611 , G06Q40/04 , G06Q50/06
摘要： Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
摘要翻译：描述了用于使用项目的预测定价信息以帮助以各种方式评估购买和/或销售决策的技术，例如代表最终用户项目获取者和/或中间项目提供者。项目的预测定价可以基于对该项目和/或相关项目的历史定价信息的分析，并且可以用于对该项目的未来定价信息进行预测。然后可以以各种方式向用户提供这样的预测，以便能够将当前价格与预期的未来价格进行比较。在某些情况下，预算定价信息用于协助客户购买机票和/或在出售机票时协助旅行社。提供本摘要以符合要求摘要的规则，并提交其意图是不会用于解释或限制权利要求书的范围或含义。

3. 发明授权

US06606625B1 Wrapper induction by hierarchical data analysis 有权
标题翻译：通过分层数据分析进行包装归纳
公开(公告)号：US06606625B1
公开(公告)日：2003-08-12
申请号：US09587528
申请日：2000-06-02
申请人： Ion Muslea , Steven Minton , Craig A. Knoblock
发明人： Ion Muslea , Steven Minton , Craig A. Knoblock
IPC分类号： G06F1730
CPC分类号： G06F17/30864 , G06F17/27 , Y10S707/99936
摘要： An inductive algorithm, denominated STALKER, generating high accuracy extraction rules based on user-labeled training examples. With the tremendous amount of information that becomes available on the Web on a daily basis, the ability to quickly develop information agents has become a crucial problem. A vital component of any Web-based information agent is a set of wrappers that can extract the relevant data from semistructured information sources. The novel approach to wrapped induction provided herein is based on the idea of hierarchical information extraction, which turns the hard problem of extracting data from an arbitrarily complex document into a series of easier extraction tasks. Labeling the training data represents the major bottleneck in using wrapper induction techniques, and experimental results show that STALKER performs significantly better than other approaches; on one hand, STALKER requires up to two orders of magnitude fewer examples than other algorithms, while on the other hand it can handle information sources that could not be wrapped by prior techniques. STALKER uses an embedded catalog formalism to parse the information source and render a predictable structure from which information may be extracted or by which such information extraction may be facilitated and made easier.
摘要翻译：一种归纳算法，称为STALKER，基于用户标注的训练示例生成高精度提取规则。随着每天在网络上可用的大量信息，快速开发信息代理的能力已成为一个关键问题。任何基于Web的信息代理的重要组成部分都是一组可以从半结构化信息源提取相关数据的包装器。本文提出的包含感应的新颖方法是基于层次信息提取的思想，这将把从任意复杂的文档中提取数据的难题转化为一系列简单的提取任务。标示培训数据代表使用包裹感应技术的主要瓶颈，实验结果表明，STALKER的表现明显优于其他方法; 一方面，STALKER比其他算法要求的实例要少两个数量级，而另一方面，它可以处理不能被先前技术包装的信息源。 STALKER使用嵌入式目录形式来解析信息源，并呈现一个可预测的结构，从中可以提取信息，或通过这些结构可以方便和简化此类信息提取。

4. 发明申请

US20110123066A9 PRECISELY LOCATING FEATURES ON GEOSPATIAL IMAGERY 有权
公开(公告)号：US20110123066A9
公开(公告)日：2011-05-26
申请号：US12501242
申请日：2009-07-10
申请人： Ching-Chien Chen , Dipsy Kapoor , Craig A. Knoblock , Cyrus Shahabi
发明人： Ching-Chien Chen , Dipsy Kapoor , Craig A. Knoblock , Cyrus Shahabi
IPC分类号： G06K9/62
CPC分类号： G06T7/75 , G06T2207/10032 , G06T2207/30184
摘要： Methods for locating a feature on geospatial imagery and systems for performing those methods are disclosed. An accuracy level of each of a plurality of geospatial vector datasets available in a database can be determined. Each of the plurality of geospatial vector datasets corresponds to the same spatial region as the geospatial imagery. The geospatial vector dataset having the highest accuracy level may be selected. When the selected geospatial vector dataset and the geospatial imagery are misaligned, the selected geospatial vector dataset is aligned to the geospatial imagery. The location of the feature on the geospatial imagery is then determined based on the selected geospatial vector dataset and outputted via a display device.

5. 发明申请

US20140310066A1 PERFORMING PREDICTIVE PRICING BASED ON HISTORICAL DATA 审中-公开
标题翻译：基于历史数据进行预测定价
公开(公告)号：US20140310066A1
公开(公告)日：2014-10-16
申请号：US14059655
申请日：2013-10-22
申请人： Oren Etzioni , Alexander Yates , Craig A. Knoblock , Rattapoom Tuchinda
发明人： Oren Etzioni , Alexander Yates , Craig A. Knoblock , Rattapoom Tuchinda
IPC分类号： G06Q30/02 , G06Q30/06
CPC分类号： G06Q30/0206 , G06Q10/02 , G06Q10/06 , G06Q30/0202 , G06Q30/0273 , G06Q30/0283 , G06Q30/0611 , G06Q40/04 , G06Q50/06
摘要： Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
摘要翻译：描述了用于使用项目的预测定价信息以帮助以各种方式评估购买和/或销售决策的技术，例如代表最终用户项目获取者和/或中间项目提供者。项目的预测定价可以基于对该项目和/或相关项目的历史定价信息的分析，并且可以用于对该项目的未来定价信息进行预测。然后可以以各种方式向用户提供这样的预测，以便能够将当前价格与预期的未来价格进行比较。在某些情况下，预算定价信息用于协助客户购买机票和/或在出售机票时协助旅行社。提供本摘要以符合要求摘要的规则，并提交其意图是不会用于解释或限制权利要求书的范围或含义。

6. 发明授权

US08635228B2 Dynamically linking relevant documents to regions of interest 有权
标题翻译：将相关文件动态链接到感兴趣的地区
公开(公告)号：US08635228B2
公开(公告)日：2014-01-21
申请号：US12619554
申请日：2009-11-16
申请人： Cyrus Shahabi , Craig A. Knoblock , Dipsy Kapoor , Ching-Chien Chen
发明人： Cyrus Shahabi , Craig A. Knoblock , Dipsy Kapoor , Ching-Chien Chen
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3087 , G06F17/30722 , G06Q30/00
摘要： Document relevance is determined with respect to a region of interest (ROI). A set of location references may be associated with a set of documents. The system selects location references associated with an ROI and then selects documents corresponding to the selected location references. The selected documents can be reported or processed further. A document-location reference index can be accessed when the present system is ‘online’ and processing a request for documents relevant to an ROI. The document-location reference index may be generated and updated while the present system is ‘offline’ and not processing a request for documents. The resulting relevant documents may be provided to a user in response to a document search associated with the ROI or along with an advertisement associated with the ROI.
摘要翻译：相对于感兴趣区域（ROI）确定文档相关性。一组位置引用可以与一组文档相关联。系统选择与ROI相关联的位置参考，然后选择与所选位置参考相对应的文档。所选文件可以进一步报告或处理。当本系统“联机”并处理与ROI有关的文件的请求时，可以访问文档位置参考索引。文档位置参考索引可以在当前系统“脱机”时生成和更新，而不处理对文档的请求。可以响应于与ROI相关联的文档搜索或与ROI相关联的广告来将所得到的相关文档提供给用户。

7. 发明申请

US20110251917A1 PERFORMING PREDICTIVE PRICING BASED ON HISTORICAL DATA 有权
标题翻译：基于历史数据进行预测定价
公开(公告)号：US20110251917A1
公开(公告)日：2011-10-13
申请号：US13082362
申请日：2011-04-07
申请人： Oren Etzioni , Alexander Yates , Craig A. Knoblock , Rattapoom Tuchinda
发明人： Oren Etzioni , Alexander Yates , Craig A. Knoblock , Rattapoom Tuchinda
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0206 , G06Q10/02 , G06Q10/06 , G06Q30/0202 , G06Q30/0273 , G06Q30/0283 , G06Q30/0611 , G06Q40/04 , G06Q50/06
摘要： Techniques are described for using predictive pricing information for items to assist in evaluating buying and/or selling decisions in various ways, such as on behalf of end-user item acquirers and/or intermediate item providers. The predictive pricing for an item may be based on an analysis of historical pricing information for that item and/or related items, and can be used to make predictions about future pricing information for the item. Such predictions may then be provided to users in various ways to enable comparison of current prices to predicted future prices. In some situations, predictive pricing information is used to assist customers when purchasing airline tickets and/or to assist travel agents when selling airline tickets. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
摘要翻译：描述了用于使用项目的预测定价信息以帮助以各种方式评估购买和/或销售决策的技术，例如代表最终用户项目获取者和/或中间项目提供者。项目的预测定价可以基于对该项目和/或相关项目的历史定价信息的分析，并且可以用于对该项目的未来定价信息进行预测。然后可以以各种方式向用户提供这样的预测，以便能够将当前价格与预期的未来价格进行比较。在某些情况下，预算定价信息用于协助客户购买机票和/或在出售机票时协助旅行社。提供本摘要以符合要求摘要的规则，并提交其意图是不会用于解释或限制权利要求书的范围或含义。

8. 发明申请

US20110007941A1 PRECISELY LOCATING FEATURES ON GEOSPATIAL IMAGERY 有权
标题翻译：精确的地理图像的位置特征
公开(公告)号：US20110007941A1
公开(公告)日：2011-01-13
申请号：US12501242
申请日：2009-07-10
申请人： Ching-Chien Chen , Dipsy Kapoor , Craig A. Knoblock , Cyrus Shahabi
发明人： Ching-Chien Chen , Dipsy Kapoor , Craig A. Knoblock , Cyrus Shahabi
IPC分类号： G06K9/62
CPC分类号： G06T7/75 , G06T2207/10032 , G06T2207/30184
摘要： Methods for locating a feature on geospatial imagery and systems for performing those methods are disclosed. An accuracy level of each of a plurality of geospatial vector datasets available in a database can be determined. Each of the plurality of geospatial vector datasets corresponds to the same spatial region as the geospatial imagery. The geospatial vector dataset having the highest accuracy level may be selected. When the selected geospatial vector dataset and the geospatial imagery are misaligned, the selected geospatial vector dataset is aligned to the geospatial imagery. The location of the feature on the geospatial imagery is then determined based on the selected geospatial vector dataset and outputted via a display device.
摘要翻译：公开了用于定位地理空间图像特征的方法和用于执行这些方法的系统。可以确定数据库中可用的多个地理空间矢量数据集中的每一个的精度水平。多个地理空间矢量数据集中的每一个对应于与地理空间图像相同的空间区域。可以选择具有最高精度水平的地理空间矢量数据集。当所选择的地理空间矢量数据集和地理空间图像不对齐时，所选择的地理空间矢量数据集与地理空间图像相一致。然后，基于所选择的地理空间矢量数据集确定地理空间图像上的特征的位置，并通过显示装置输出。

9. 发明授权

US07660441B2 System and method for fusing geospatial data 失效
标题翻译：用于融合地理空间数据的系统和方法
公开(公告)号：US07660441B2
公开(公告)日：2010-02-09
申请号：US11169076
申请日：2005-06-28
申请人： Ching-Chien Chen , Craig A. Knoblock , Cyrus Shahabi , Yao-Yi Chiang
发明人： Ching-Chien Chen , Craig A. Knoblock , Cyrus Shahabi , Yao-Yi Chiang
IPC分类号： G06K9/32 , G06K9/46
CPC分类号： G06K9/0063 , G06T3/0075 , G06T7/33
摘要： Automatic conflation systems and techniques which provide vector-imagery conflation and map-imagery conflation. Vector-imagery conflation is an efficient approach that exploits knowledge from multiple data sources to identify a set of accurate control points. Vector-imagery conflation provides automatic and accurate alignment of various vector datasets and imagery, and is appropriate for GIS applications, for example, requiring alignment of vector data and imagery over large geographical regions. Map-imagery conflation utilizes common vector datasets as “glue” to automatically integrate street maps with imagery. This approach provides automatic, accurate, and intelligent images that combine the visual appeal and accuracy of imagery with the detailed attribution information often contained in such diverse maps. Both conflation approaches are applicable for GIS applications requiring, for example, alignment of vector data, raster maps, and imagery. If desired, the conflated data generated by such systems may be retrieved on-demand.
摘要翻译：自动融合系统和技术，提供矢量图像融合和地图图像融合。矢量图像混合是一种有效的方法，利用来自多个数据源的知识来识别一组精确的控制点。矢量图像融合提供了各种矢量数据集和图像的自动和准确对齐，适用于GIS应用，例如，需要在大地理区域上对齐矢量数据和图像。地图图像融合利用常用的矢量数据集作为“胶合”，自动将街道地图与图像整合。这种方法提供自动，准确和智能的图像，将图像的视觉吸引力和准确性与通常包含在这种不同地图中的详细归属信息相结合。两种融合方法都适用于需要例如矢量数据，光栅图和图像对齐的GIS应用。如果需要，可以根据需要检索由这样的系统生成的混合数据。

10. 发明申请

US20090285487A1 Systems and methods for linking content to individual image features 有权
标题翻译：用于将内容链接到单个图像特征的系统和方法
公开(公告)号：US20090285487A1
公开(公告)日：2009-11-19
申请号：US12152546
申请日：2008-05-14
申请人： Craig A. Knoblock , Cyrus Shahabi , Ching-Chien Chen , Dipsy Kapoor
发明人： Craig A. Knoblock , Cyrus Shahabi , Ching-Chien Chen , Dipsy Kapoor
IPC分类号： G06K9/46
CPC分类号： G06K9/00637 , G06F17/30061
摘要： A method, computer program, and system for linking content to individual image features are provided. A section of an image is identified. A plurality of features associated with the section of the image is determined. Each of the plurality of features corresponds to at least one position within the section of the image. Content associated with the plurality of features is retrieved from a content repository. The content is linked to the plurality of features based on at least one rule. The content is then presented.
摘要翻译：提供了一种用于将内容链接到各个图像特征的方法，计算机程序和系统。识别图像的一部分。确定与图像的该部分相关联的多个特征。多个特征中的每一个对应于图像的该部分内的至少一个位置。从内容存储库检索与多个特征相关联的内容。基于至少一个规则将内容链接到多个特征。然后呈现内容。

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