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公开(公告)号：US08340360B2
公开(公告)日：2012-12-25
申请号：US13158301
申请日：2011-06-10
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。
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12.发明授权Methods for fast progressive evaluation of polynomial range-sum queries on real-time datacubes 有权用于快速逐行评估实时数据通道多项式范围和查询的方法公开(公告)号：US08090730B2
公开(公告)日：2012-01-03
申请号：US10310667
申请日：2002-12-04
申请人： Cyrus Shahabi , Rolfe Schmidt
发明人： Cyrus Shahabi , Rolfe Schmidt
CPC分类号： G06F17/30592 , G06F17/30489 , G06F17/30536
摘要： Provided are methods, computer programs and systems that optimize database queries using a wavelet transform of the query. Also provided are methods and systems for optimal disk placement for wavelet data.
摘要翻译： 提供了使用查询的小波变换优化数据库查询的方法，计算机程序和系统。 还提供了用于小波数据的最佳磁盘放置的方法和系统。
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公开(公告)号：US20070073897A1
公开(公告)日：2007-03-29
申请号：US11472495
申请日：2006-06-20
IPC分类号： G06F15/173
CPC分类号： G01C21/3446 , G01C21/343
摘要： A computer system that finds an optimal sequenced route through one point from each of a plurality of categories. The routes are found by determining one point from each of the categories and finding the shortest path through the one point through each of those routes.
摘要翻译： 一种计算机系统，其从多个类别中的每一个找到经过一点的最佳排序路线。 通过确定每个类别中的一个点并找到通过每个路线的一个点的最短路径来找到路线。
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公开(公告)号：US09286793B2
公开(公告)日：2016-03-15
申请号：US14060360
申请日：2013-10-22
申请人： Bei Pan , Ugur Demiryurek , Cyrus Shahabi
发明人： Bei Pan , Ugur Demiryurek , Cyrus Shahabi
CPC分类号： G06N5/04 , G08G1/00 , G08G1/0112 , G08G1/0129 , G08G1/0141
摘要： Real-time high-fidelity spatiotemporal data on transportation networks can be used to learn about traffic behavior at different times and locations, potentially resulting in major savings in time and fuel. Real-world data collected from transportation networks can be used to incorporate the data's intrinsic behavior into a time-series mining technique to enhance its accuracy for traffic prediction. For example, the spatiotemporal behaviors of rush hours and events can be used to perform a more accurate prediction of both short-term and long-term average speed on road-segments, even in the presence of infrequent events (e.g., accidents). Taking historical rush-hour behavior into account can improve the accuracy of traditional predictors by up to 67% and 78% in short-term and long-term predictions, respectively. Moreover, the impact of an accident can be incorporated to improve the prediction accuracy by up to 91%.
摘要翻译： 运输网络上的实时高保真时空数据可用于了解不同时间和地点的交通行为，有可能大大节省时间和燃料。 从运输网络收集的现实数据可用于将数据的内在行为纳入时间序列挖掘技术，以提高其对流量预测的准确性。 例如，高峰时段和事件的时空行为可以用于对路段上的短期和长期平均速度进行更准确的预测，即使在出现偶然事件（例如事故）的情况下也是如此。 考虑到历史高峰时期的行为，可以将传统预测指标的准确度分别提高67％和78％，在短期和长期预测中。 此外，可以引入事故的影响，将预测精度提高高达91％。
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公开(公告)号：US08953887B2
公开(公告)日：2015-02-10
申请号：US12965725
申请日：2010-12-10
CPC分类号： G06F17/30241
摘要： A method for processing geospatial datasets corresponding to geospatial objects, the method having the steps of extracting geospatial attributes from the geospatial datasets, locating extracted geospatial attributes corresponding to a particular geospatial object at a particular point in time, and generating output indicative of the particular geospatial object at the particular point in time utilizing the located geospatial attributes.
摘要翻译： 一种处理对应于地理空间物体的地理空间数据集的方法，该方法具有从地理空间数据集中提取地理空间属性的步骤，在特定时间点定位与特定地理空间物体相对应的提取的地理空间属性，并产生指示特定地理空间的输出 在特定的时间点利用定位的地理空间属性对象。
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16.发明授权公开(公告)号：US08670617B2
公开(公告)日：2014-03-11
申请号：US12152546
申请日：2008-05-14
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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17.发明申请Hierarchical and Exact Fastest Path Computation in Time-dependent Spatial Networks 有权时间依赖空间网络中的分层和精确最快路径计算公开(公告)号：US20120283948A1
公开(公告)日：2012-11-08
申请号：US13455035
申请日：2012-04-24
申请人： Ugur Demiryurek , Cyrus Shahabi
发明人： Ugur Demiryurek , Cyrus Shahabi
IPC分类号： G01C21/34
CPC分类号： G01C21/3446 , G01C21/3492
摘要： With real-world spatial networks the edge travel-times are time-dependent, where the arrival-time to an edge determines the actual travel-time on the edge. To speed up the path computation, exact and approximate techniques for computation of the fastest path in time-dependent spatial networks are presented. An exact fastest path computation technique based on a time-dependent A* search can significantly improve the computation time and storage complexity of existing approaches. Moreover, for applications with which approximate fastest path is acceptable, the approximate fastest path computation technique can improve the computation time by an order of magnitude while maintaining high accuracy (e.g., with only 7% increase in travel-time of the computed path on average). With experiments using real data-sets (including a variety of large spatial networks with real traffic data) the efficacy of the disclosed techniques for online fastest path computation is demonstrated.
摘要翻译： 利用现实世界的空间网络，边缘旅行时间是时间依赖的，其中到达边缘的到达时间确定边缘上的实际旅行时间。 为了加快路径计算，提出了用于计算时间依赖空间网络中最快路径的精确和近似技术。 基于时间依赖的A *搜索的确切最快的路径计算技术可以显着提高现有方法的计算时间和存储复杂性。 此外，对于近似最快路径可接受的应用，近似最快路径计算技术可以将计算时间提高一个数量级，同时保持高精度（例如，平均计算路径的行进时间仅增加7％ ）。 通过使用实际数据集（包括具有实际流量数据的各种大型空间网络）的实验，证明了所公开的在线最快路径计算技术的功效。
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公开(公告)号：US20110280453A1
公开(公告)日：2011-11-17
申请号：US13158301
申请日：2011-06-10
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。
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公开(公告)号：US20110142347A1
公开(公告)日：2011-06-16
申请号：US12965725
申请日：2010-12-10
IPC分类号： G06K9/46
CPC分类号： G06F17/30241
摘要： A method for processing geospatial datasets corresponding to geospatial objects, the method having the steps of extracting geospatial attributes from the geospatial datasets, locating extracted geospatial attributes corresponding to a particular geospatial object at a particular point in time, and generating output indicative of the particular geospatial object at the particular point in time utilizing the located geospatial attributes.
摘要翻译： 一种处理对应于地理空间物体的地理空间数据集的方法，该方法具有从地理空间数据集中提取地理空间属性的步骤，在特定时间点定位与特定地理空间物体相对应的提取的地理空间属性，并产生指示特定地理空间的输出 在特定的时间点利用定位的地理空间属性对象。
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公开(公告)号：US06910079B2
公开(公告)日：2005-06-21
申请号：US10351462
申请日：2003-01-24
申请人： Roger Zimmermann , Cyrus Shahabi , Kun Fu
发明人： Roger Zimmermann , Cyrus Shahabi , Kun Fu
IPC分类号： H04L12/20 , H04L12/56 , H04L29/06 , G06F15/173 , G06F5/06
CPC分类号： H04L65/4084 , H04L29/06027 , H04L47/10 , H04L47/22 , H04L47/2416 , H04L47/263 , H04L47/29 , H04L47/30 , H04L65/80
摘要： Systems and techniques are provided for using a multi-threshold buffer model to smooth data transmission to a client. A client to receive data such as streaming media data may include a buffer. A server to transmit data to the client may transmit the data to the client at a first server transmission rate. The client buffer level may be determined at different times; for example, a first buffer level may be determined at a first time and a second buffer level may be determined at a second time. If the buffer level is at a threshold level or has passed a threshold level between the first and second times, server transmission rate information may be determined and may be sent to the server.
摘要翻译： 提供的系统和技术用于使用多阈值缓冲区模型来平滑向客户端的数据传输。 接收诸如流媒体数据之类的数据的客户端可以包括缓冲器。 向客户端发送数据的服务器可以以第一服务器传输速率将数据发送到客户端。 可以在不同时间确定客户端缓冲器级别; 例如，可以在第一时间确定第一缓冲器电平，并且可以在第二时间确定第二缓冲器电平。 如果缓冲器级别处于阈值级别或已经在第一和第二次之间经过了阈值级别，则可以确定服务器传输速率信息并将其发送到服务器。
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