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    • 2. 发明授权
    • Interactive framework for understanding user's perception of multimedia data
    • 用于了解用户对多媒体数据的感知的交互框架
    • US06408293B1
    • 2002-06-18
    • US09328968
    • 1999-06-09
    • Gaurav AggarwalPradeep Kumar DubeySugata GhosalAshutosh KulshreshthaTumkur Venkatanarayana Rao Ravi
    • Gaurav AggarwalPradeep Kumar DubeySugata GhosalAshutosh KulshreshthaTumkur Venkatanarayana Rao Ravi
    • G06F1730
    • G06F17/30256Y10S707/99933Y10S707/99935Y10S707/99943
    • A methodology of highly interactive intra-object relevance feedback is used to retrieve multimedia data from a database. The query object could consist of one or more images, images derived from video, a video sequence, or an audio clip. The query is adjusted using the information fed-back by the user about the relevance of previously extracted part(s) from the object itself, such that the adjusted query is a better approximation to the user's perception. The information fed-back by the user during intra-query modification is used for intra-object learning of the user's perception. The refined query is subsequently used for inter-object relevance feedback where data is retrieved from the database based on parameters learnt by intra-query object feedback mechanism, and the user provides feedback by ranking the retrieved objects in order of their relevance to him or her. In the system according to the invention, inter-object learning of user's perception is expedited by utilizing the learnt parameters in the intra-object relevance feedback. Furthermore, the methodology of the invention allows for building refined queries based on part(s) or sub-sequence(s) of the query object rather than the entire object itself, thereby reducing the number of irrelevant objects, retrieved from the database. The methodology allows synthesis and modification of the input query object itself in the event a query object is not directly available, and, also to learn the user's perception.
    • 高度交互的对象内相关反馈的方法用于从数据库检索多媒体数据。 查询对象可以包括一个或多个图像,从视频,视频序列或音频剪辑导出的图像。 使用用户反馈的关于先前提取的部分与对象本身的相关性的信息来调整查询,使得经调整的查询更好地逼近用户的感知。 用户在查询修改期间反馈的信息用于用户感知的对象内学习。 精确查询随后用于对象间相关性反馈,其中基于由查询内对象反馈机制学习的参数从数据库检索数据,并且用户按照与他或她的相关性的顺序对所检索的对象进行排序来提供反馈 。 在根据本发明的系统中,通过利用对象内相关性反馈中的学习参数来加快用户感知的对象间学习。 此外,本发明的方法允许基于查询对象的部分或子序列而不是整个对象本身构建精简查询,从而减少从数据库检索的不相关对象的数量。 该方法允许在查询对象不直接可用的情况下对输入查询对象本身进行合成和修改,还可以了解用户的感知。
    • 3. 发明授权
    • Method for controlled and meaningful shape modifications
    • 控制和有意义的形状修改的方法
    • US06625330B1
    • 2003-09-23
    • US09516142
    • 2000-03-01
    • Pradeep Kumar DubeySugata GhosalAshutosh KulshreshthaAbhinanda Sarkar
    • Pradeep Kumar DubeySugata GhosalAshutosh KulshreshthaAbhinanda Sarkar
    • G06K932
    • G06K9/6204
    • A method of doing meaningful modifications on an image is presented. These modifications can then be used in variety of applications related to image shape manipulation and similar shape retrieval. The method extracts macrofeatures and microfeature from a given shape. Deformations are done on the macrofeatures only. These deformations are either predefined, or are taken from a deformation library, or are calculated from the shape itself, The microfeatures are then added to the deformed macrofeatures to get a deformed shape. The shape deformations then allow user's perception of shape similarity to be learned, which is reflected in the values of parameters in a parameterized shape similarity metric. The user can use one of the deformed shapes as the initial query point, instead of the shape he or she started with. The shape database compression is achieved by storing only the identification of a similar shape and value of global deformations which will generate this shape approximately, instead of storing every shape feature individually.
    • 提出了对图像进行有意义的修改的方法。 然后,这些修改可用于与图像形状操纵和类似形状检索有关的各种应用。 该方法从给定的形状提取宏特征和微特征。 变形仅在宏观特征上进行。 这些变形是预定义的,或者是从变形库中获取的,或者是根据形状本身计算的。然后将微特征加到变形的宏观特征中以得到变形的形状。 形状变形然后允许用户对形状相似度的感知被学习,这反映在参数化形状相似性度量中的参数值中。 用户可以使用其中一个变形的形状作为初始查询点,而不是他或她开始的形状。 形状数据库压缩是通过仅存储将产生该形状的全局变形的类似形状和值的识别来实现的,而不是分别存储每个形状特征。
    • 8. 发明授权
    • Clustering data including those with asymmetric relationships
    • 聚类数据,包括具有不对称关系的数据
    • US06925460B2
    • 2005-08-02
    • US09815616
    • 2001-03-23
    • Krishna KummamuruRaghuram KrishnapuramPradeep Kumar Dubey
    • Krishna KummamuruRaghuram KrishnapuramPradeep Kumar Dubey
    • G06F7/00G06F17/30
    • G06F17/30719G06F17/3071Y10S707/99933Y10S707/99935
    • The present invention relates to a method, system and computer program product for clustering data points and its application to text summarization, customer profiling for web personalization and product cataloging.The method for clustering data points with defined quantified relationships between them comprises the steps of obtaining lead value for each data point either by deriving from said quantified relationships or as given input, ranking each data point in a lead value sequence list in descending order of lead value, assigning the first data point in said lead value sequence list as the leader of the first cluster, and considering each subsequent data point in said lead value sequence list as a leader of a new cluster if its relationship with the leaders of each of the previous clusters is less than a defined threshold value or as a member of one or more clusters where its relationship with the cluster leader is more than or equal to said threshold value. The said relationships between data points are symmetric or asymmetric. Similarly, system and computer program product have also been claimed.
    • 本发明涉及用于聚类数据点的方法,系统和计算机程序产品及其应用于文本摘要,用于web个性化和产品编目的客户分析。 用于对其中具有定义的量化关系的数据点进行聚类的方法包括以下步骤:通过从所述量化关系导出或作为给定输入来获取每个数据点的引导值,以引导值序列表中的每个数据点按铅的降序排列 将所述引导值序列列表中的第一数据点分配为第一簇的引导符,并且如果其与每个的引导者的关系,则将所述引导值序列列表中的每个后续数据点视为新簇的引导者 先前的簇小于定义的阈值,或作为其与簇首的关系大于或等于所述阈值的一个或多个簇的成员。 数据点之间的关系是对称的或不对称的。 类似地,系统和计算机程序产品也被要求。
    • 10. 发明授权
    • Method and system for a result code for a single-instruction multiple-data predicate compare operation
    • 用于单指令多数据谓词比较操作的结果代码的方法和系统
    • US06282628B1
    • 2001-08-28
    • US09256374
    • 1999-02-24
    • Pradeep Kumar DubeyBrett OlssonRonald Ray HochsprungHunter Ledbetter Scales, IIIKeith Everett Diefendorff
    • Pradeep Kumar DubeyBrett OlssonRonald Ray HochsprungHunter Ledbetter Scales, IIIKeith Everett Diefendorff
    • G06F1580
    • G06F9/30021G06F9/30036G06F9/30072
    • A method and system is disclosed which summarizes the results of a classical single-instruction multiple-data SIMD predicate comparison operation, signaling whether all comparisons resulted in a false result or true result, and placing that status into a separate status register, such as the Power PC Condition Register. The method and system utilizes first and second status bits to support the signaling whether all element comparisons resulted in true or false. The first status bit is set when all element comparisons resulted in false (i.e. a NOR of all predicate comparison results), and the second status bit is set when all element comparisons resulted in true (i.e. an AND of all predicate comparison results). This capability allows control flow using conditional branching on the event when all comparison results are false or when all comparison results are true. The method and system of the present invention is useful in 3-D graphics such as lighting and trivial acceptance testing where executing down both paths of a branch and then selecting the correct result is not tolerable.
    • 公开了一种方法和系统,其总结了经典单指令多数据SIMD谓词比较操作的结果,指示所有比较是否导致错误结果或真实结果,并将该状态置于单独的状态寄存器中,例如 电源条件寄存器。 该方法和系统利用第一和第二状态位来支持信号是否所有元素比较导致真或假。 当所有元素比较导致假(即所有谓词比较结果的NOR)时,第一个状态位被置位,当所有元素比较结果为真时(即所有谓词比较结果的AND),第二个状态位被置位。 当所有比较结果为false或所有比较结果为真时,此功能允许使用事件上的条件分支进行控制流程。 本发明的方法和系统在诸如照明和平凡验收测试的三维图形中是有用的,其中执行分支的两个路径,然后选择正确的结果是不允许的。