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    • 4. 发明授权
    • Multidimensional indexing structure for use with linear optimization queries
    • 用于线性优化查询的多维索引结构
    • US06408300B1
    • 2002-06-18
    • US09360366
    • 1999-07-23
    • Lawrence David BergmanVittorio CastelliYuan-Chi ChangChung-Sheng LiJohn Richard Smith
    • Lawrence David BergmanVittorio CastelliYuan-Chi ChangChung-Sheng LiJohn Richard Smith
    • G06F1730
    • G06F17/30333Y10S707/99934Y10S707/99942Y10S707/99945Y10S707/99948
    • Linear optimization queries, which usually arise in various decision support and resource planning applications, are queries that retrieve top N data records (where N is an integer greater than zero) which satisfy a specific optimization criterion. The optimization criterion is to either maximize or minimize a linear equation. The coefficients of the linear equation are given at query time. Methods and apparatus are disclosed for constructing, maintaining and utilizing a multidimensional indexing structure of database records to improve the execution speed of linear optimization queries. Database records with numerical attributes are organized into a number of layers and each layer represents a geometric structure called convex hull. Such linear optimization queries are processed by searching from the outer-most layer of this multi-layer indexing structure inwards. At least one record per layer will satisfy the query criterion and the number of layers needed to be searched depends on the spatial distribution of records, the query-issued linear coefficients, and N, the number of records to be returned. When N is small compared to the total size of the database, answering the query typically requires searching only a small fraction of all relevant records, resulting in a tremendous speedup as compared to linearly scanning the entire dataset.
    • 通常在各种决策支持和资源规划应用中出现的线性优化查询是检索满足特定优化标准的前N个数据记录(其中N是大于零的整数)的查询。 优化标准是最大化或最小化线性方程。 查询时给出线性方程的系数。 公开了用于构建,维护和利用数据库记录的多维索引结构以提高线性优化查询的执行速度的方法和装置。 具有数值属性的数据库记录被分为多个层,每个层表示一个称为凸包的几何结构。 通过从该多层索引结构的最外层向内搜索来处理这样的线性优化查询。 每层至少一个记录将满足查询条件,需要搜索的层数取决于记录的空间分布,查询发出的线性系数,N,要返回的记录数。 当N与数据库的总大小相比较小时,回答查询通常只需要搜索所有相关记录的一小部分,与线性扫描整个数据集相比,导致了巨大的加速。
    • 7. 发明授权
    • Interactive representation and retrieval of multi-dimensional data using view elements
    • 使用视图元素交互式表示和检索多维数据
    • US06326965B1
    • 2001-12-04
    • US09079662
    • 1998-05-15
    • Vittorio CastelliChung-Sheng LiJohn Richard Smith
    • Vittorio CastelliChung-Sheng LiJohn Richard Smith
    • G06T1700
    • G06F17/30241Y10S707/99942Y10S707/99945
    • An apparatus and method for representing and retrieving multi-dimensional data such as large satellite images. Images are stored in forms that allow them to be rapidly browsed and retrieved by remote client applications in a drill-down fashion. The data can be represented and retrieved using a view element data structure that includes node elements and transition elements between nodes. The data is decomposed (in space or spatial-frequency to construct a tree-based or graph-based data structure) into view elements. A set of view elements is selected, compressed and stored without adversely impacting image view extraction or generation speed. View elements are placed into the node elements of the data structure and the transition elements indicate the processing to generate other view elements in the data structure. In a server-side view construction, the view elements are selectively retrieved from storage, decompressed, and processed to generate the views of the data. In a client-side progressive view construction, the client caches the view elements and processes them in combination with view elements retrieved from the server to generate views of the data. The data reuse at the client reduces data transmission in drill-down or roll-up browsing. Data can be ingested, read and written in units of spatial blocks and decomposed into view elements using the spatial block units. Thus, the ingestion, decomposition, compression, and view retrieval for large images can be done using computer devices that have limited storage and processing capabilities.
    • 一种用于表示和检索诸如大卫星图像的多维数据的装置和方法。 图像以允许远程客户端应用程序以深入方式快速浏览和检索的表单存储。 可以使用包括节点元素和节点之间的过渡元素的视图元素数据结构来表示和检索数据。 数据被分解(在空间或空间频率上构建基于树或基于图形的数据结构)到视图元素中。 一组视图元素被选择,压缩和存储,而不会对图像视图提取或生成速度产生不利影响。 视图元素被放置在数据结构的节点元素中,过渡元素指示在数据结构中生成其他视图元素的处理。 在服务器侧视图结构中,从存储器,解压缩和处理中选择性地检索视图元素以生成数据的视图。 在客户端逐行视图构造中,客户端缓存视图元素并将其与从服务器检索的视图元素组合进行处理,以生成数据视图。 客户端的数据重用可以减少下拉列表或汇总浏览中的数据传输。 可以以空间块为单位摄取,读取和写入数据,并使用空间块单位将其分解为视图元素。 因此,对于大图像的摄取,分解,压缩和视图检索可以使用具有有限的存储和处理能力的计算机设备来完成。
    • 8. 发明授权
    • Interactive retrieval and caching of multi-dimensional data using view
elements
    • 使用视图元素交互检索和缓存多维数据
    • US6014671A
    • 2000-01-11
    • US79986
    • 1998-05-15
    • Vittorio CastelliChung-Sheng LiJohn Richard Smith
    • Vittorio CastelliChung-Sheng LiJohn Richard Smith
    • G06F17/30G09G5/36
    • G06F17/3028Y10S707/99933Y10S707/99942
    • An apparatus and method for representing and retrieving multi-dimensional data such as large satellite images. Images are stored in forms that can be rapidly browsed and retrieved by remote client applications in a drill-down or roll-up fashion. The data can be represented and retrieved using a view element data structure that includes node elements and transition elements between nodes. The data is decomposed (in space or spatial-frequency to construct a tree-based or graph-based data structure) into view elements. A set of view elements is selected, compressed and stored without adversely impacting image view extraction or generation speed. View elements are placed into the node elements of the data structure and the transition elements indicate the processing to generate other view elements in the data structure. In a server-side view construction, the view elements are selectively retrieved from storage, decompressed, and processed to generate the views of the data. In a client-side progressive view construction, the client caches the view elements and processes them in combination with view elements retrieved from the server to generate views of the data. The data reuse at the client reduces data transmission in drill-down or roll-up browsing. Data can be ingested, read and written in units of spatial blocks and decomposed into view elements using the spatial block units. Thus, the ingestion, decomposition, compression, and view retrieval for large images can be done using computer devices that have limited storage and processing capabilities.
    • 一种用于表示和检索诸如大卫星图像的多维数据的装置和方法。 图像以远程客户端应用程序以向下或向下滚动方式快速浏览和检索的形式存储。 可以使用包括节点元素和节点之间的过渡元素的视图元素数据结构来表示和检索数据。 数据被分解(在空间或空间频率上构建基于树或基于图形的数据结构)到视图元素中。 一组视图元素被选择,压缩和存储,而不会对图像视图提取或生成速度产生不利影响。 视图元素被放置在数据结构的节点元素中,过渡元素指示在数据结构中生成其他视图元素的处理。 在服务器侧视图结构中,从存储器,解压缩和处理中选择性地检索视图元素以生成数据的视图。 在客户端逐行视图构造中,客户端缓存视图元素并将其与从服务器检索的视图元素组合进行处理,以生成数据视图。 客户端的数据重用可以减少下拉列表或汇总浏览中的数据传输。 可以以空间块为单位摄取,读取和写入数据,并使用空间块单位将其分解为视图元素。 因此,对于大图像的摄取,分解,压缩和视图检索可以使用具有有限的存储和处理能力的计算机设备来完成。