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91. 发明授权

KR101381655B1 시계열 데이터의 비학습적 마이닝 방법 및 이를 지원하는 단말기 有权
标题翻译：基于特征提取的基于时间序列多应用的不间断采矿和支持其的电子设备的方法
公开(公告)号：KR101381655B1
公开(公告)日：2014-04-04
申请号：KR1020120148524
申请日：2012-12-18
申请人： 전남대학교산학협력단
发明人： 양형정 , 김선희 , 왠티녹안 , 도르녹
IPC分类号： G06F17/30 , G06F17/40
CPC分类号： G06K9/6224 , G06F17/12
摘要： The present invention relates to a method which comprises the steps of: collecting a multi-application time-series data; calculating a hidden variable of the collected time-series data; harmonic processing for detecting a harmonic mixing weight and harmonics characteristics of the calculated result; removing a phase shift in the harmonic operation; and performing data clustering based on the result of importance of a harmonic element with the phase shift is removed, and a terminal supporting the same.
摘要翻译：本发明涉及一种方法，包括以下步骤：收集多应用时间序列数据; 计算收集的时间序列数据的隐藏变量; 用于检测谐波混合权重的谐波处理和计算结果的谐波特性; 去除谐波运算中的相移; 并且基于具有相移的谐波元素的重要性的结果执行数据聚类被去除，并且支持该相位的终端。

92. 发明公开

EP3161791A1 SYSTEM AND METHOD FOR VISUAL EVENT DESCRIPTION AND EVENT ANALYSIS 审中-公开
标题翻译：联合国维和部队执行委员会
公开(公告)号：EP3161791A1
公开(公告)日：2017-05-03
申请号：EP15812843.9
申请日：2015-06-19
申请人： Sportlogiq Inc.
发明人： JAVAN ROSHTKHARI, Mehrsan , LEVINE, Martin D.
IPC分类号： G06T7/00 , G08B13/196
CPC分类号： G06K9/00718 , G06K9/00758 , G06K9/00765 , G06K9/4676 , G06K9/6215 , G06K9/6219 , G06K9/6224 , G06K9/6284
摘要： A system and method are provided for analyzing a video. The method comprises: sampling the video to generate a plurality of spatio-temporal video volumes; clustering similar ones of the plurality of spatio-temporal video volumes to generate a low-level codebook of video volumes; analyzing the low-level codebook of video volumes to generate a plurality of ensembles of volumes surrounding pixels in the video; and clustering the plurality of ensembles of volumes by determining similarities between the ensembles of volumes, to generate at least one high-level codebook. Multiple high-level codebooks can be generated by repeating steps of the method. The method can further include performing visual event retrieval by using the at least one high-level codebook to make an inference from the video, for example comparing the video to a dataset and retrieving at least one similar video, activity and event labeling, and performing abnormal and normal event detection.
摘要翻译：提供了一种用于分析视频的系统和方法。该方法包括：对视频采样以产生多个时空视频卷; 聚类多个时空视频卷中的相似的一个以产生视频卷的低级码本; 分析视频卷的低级码本以产生围绕视频中的像素的多个体积的集合; 以及通过确定所述体积集合之间的相似性来聚集所述多个体积集合，以生成至少一个高级码本。可以通过重复该方法的步骤来生成多个高级码本。该方法还可以包括通过使用至少一个高级码本从视频进行推理来执行视觉事件检索，例如将视频与数据集进行比较并检索至少一个类似的视频，活动和事件标记，以及执行异常和正常事件检测。

93. 发明公开

EP2895987A1 SYSTEM AND METHOD FOR GENERATING SEMANTIC ANNOTATIONS 审中-公开
标题翻译：系统VERFAHREN ZUR ERZEUGUNG VON SEMANTISCHEN ANMERKUNGEN
公开(公告)号：EP2895987A1
公开(公告)日：2015-07-22
申请号：EP13770747.7
申请日：2013-09-12
申请人： General Electric Company
发明人： TU, Peter, Henry , RITTSCHER, Jens , GUAN, Li
IPC分类号： G06K9/62 , G06F17/30 , G06K9/00
CPC分类号： G06K9/00671 , G06F17/30781 , G06K9/00718 , G06K9/00771 , G06K9/62 , G06K9/6224 , G06K9/6288
摘要： In accordance with one aspect of the present technique, a method is disclosed. The method includes receiving a new video from one or more sensors and generating a new content graph (CG) based on the new video. The method also includes comparing the new CG with a plurality of prior CGs. The method further includes identifying a first portion of the new CG matching a portion of a first prior CG and a second portion of the new CG matching a portion of the second prior CG. The method further includes analyzing a first set of semantic annotations (SAs) associated with the portion of the first prior CG and a second set of SAs associated with the portion of the second prior CG. The method further includes generating a sequence of SAs for the new video based on the analysis of the first and the second set of SAs.
摘要翻译：根据本技术的一个方面，公开了一种方法。该方法包括从一个或多个传感器接收新视频并基于新视频生成新的内容图（CG）。该方法还包括将新的CG与多个先前的CG进行比较。该方法还包括识别新CG匹配的第一部分匹配第一先前CG的一部分和新CG匹配第二先前CG的一部分的第二部分。该方法还包括分析与第一先前CG的部分相关联的第一组语义注释（SA）和与第二先前CG的部分相关联的第二组SA。该方法还包括基于对第一和第二组SA的分析来生成用于新视频的SA序列。

94. 发明公开

EP2681693A1 METHOD FOR IMPROVING CLASSIFICATION RESULTS OF A CLASSIFIER 审中-公开
标题翻译： VERFAHREN ZUR VERBESSERUNG DER KLASSIFIZIERUNGSERGEBNISSE EINER KLASSIFIZIERUNGSVORRICHTUNG
公开(公告)号：EP2681693A1
公开(公告)日：2014-01-08
申请号：EP12754439.3
申请日：2012-03-02
申请人： LBT Innovations Limited
发明人： VAN DEN HENGEL, Anton, John , WARD, Benjamin, William, Stephen , HILL, Rhys, Ernst
IPC分类号： G06K9/03 , G06K9/34 , G06T7/40
CPC分类号： G06K9/628 , G06K9/6224 , G06T7/11 , G06T7/162 , G06T2207/10024 , G06T2207/20072
摘要： A method for improving classification results of a classifier including receiving classification results for a plurality of elements that have been classified by a classifier as one of a plurality of classes, constructing a graph having a plurality of nodes, each node corresponding to one of the elements, and a plurality of labels, each label corresponding to one of the classes, adding edges between nodes corresponding to related elements, adding edges between each node and each label, and using a graph cut algorithm to cut edges to a node and partition the graph into classes, the graph cut algorithm using as input the classification results for the element corresponding to that node and related elements.
摘要翻译：一种用于改进分类器的分类结果的方法，包括接收由分类器分类为多个类别的多个元素的分类结果，构成具有多个节点的图形，每个节点对应于元素之一，以及多个标签，每个标签对应于一个类别，在对应于相关元素的节点之间添加边缘，在每个节点和每个标签之间添加边缘，并使用图形剪切算法将边缘切割到节点并分割图进入类，图形剪切算法使用作为输入的元素对应于该节点和相关元素的分类结果。

95. 发明公开

EP2428917A2 Method and apparatus for processing an image comprising characters 审中-公开
标题翻译： Verfahren und Vorrichtung zur Verarbeitung eines Bildes mit Zeichen
公开(公告)号：EP2428917A2
公开(公告)日：2012-03-14
申请号：EP11168851.1
申请日：2011-06-06
申请人： FUJITSU LIMITED
发明人： Sun, Jun , Yu, Hao , Naoi, Satoshi
IPC分类号： G06K9/68
CPC分类号： G06K9/6814 , G06K9/6224
摘要： Method and apparatus for processing an image including a character are disclosed. The method may include: searching in a set of characters one or more characters having highest similarities of shape to a character in the set of characters, hereinafter the character being referred to as a first character, the one or more searched characters forming a similar character list of the first character; searching in the set of characters one or more characters having highest similarities of shape to each character in the similar character list of the first character, to form a similar character list of each character in the similar character list of the first character; and selecting in the similar character lists one or more characters having a high mutual similarity between each other, as a character cluster.
摘要翻译：公开了用于处理包括字符的图像的方法和装置。该方法可以包括：在一组文本中搜索与该组文字中的字符具有最高相似度的一个或多个字符，在下文中将字符称为第一个字符，该一个或多个搜索到的字符形成相似的字符第一个字符的列表; 在所述字符集中搜索与所述第一字符的类似字符列表中的每个字符具有最高相似度的一个或多个字符，以形成所述第一字符的相似字符列表中的每个字符的类似字符列表; 并且在相似的字符中选择一个或多个具有彼此之间相互相互之间的相互相似性的字符作为字符簇。

96. 发明公开

EP2224357A1 Video segmentation 审中-公开
标题翻译： Videosegmentierung
公开(公告)号：EP2224357A1
公开(公告)日：2010-09-01
申请号：EP09250566.8
申请日：2009-02-27
申请人： BRITISH TELECOMMUNICATIONS public limited company
发明人： The designation of the inventor has not yet been filed
IPC分类号： G06F17/30
CPC分类号： G06F17/30843 , G06K9/00765 , G06K9/6224 , G06K9/6251
摘要： A method of segmenting a sequence of video images according to scene activity, the method comprising: defining a first series of nodes in a first multi-dimensional space, each node corresponding to an image of the sequence of video images; defining a transformation function that maps each of the first series of nodes to a corresponding node in a second multi-dimensional space having a lower dimensionality than the first multi-dimensional space; applying said transformation function to each of the first series of nodes to define a second series of respective nodes in the second multi-dimensional space; applying a data clustering algorithm to the second series of nodes to identify clusters of nodes within the second multi-dimensional space, the data clustering algorithm being constrained by a measure of feature distance between a pair of clusters of nodes and a measure of temporal distance between the pair of clusters of nodes; determining a representative image from each cluster of nodes and plotting each representative image with respect to a measure of the elapsed time of the sequence of video images to form an scene desnity curve indicating the underlying scene change activities; and segmenting the sequence of video images in accordance with local minima and/or maxima of the scene desnity curve.
摘要翻译：一种根据场景活动分割视频图像序列的方法，所述方法包括：在第一多维空间中定义第一系列节点，每个节点对应于视频图像序列的图像; 定义将所述第一系列节点中的每一个映射到具有比所述第一多维空间小的维度的第二多维空间中的对应节点的变换函数; 将所述变换函数应用于所述第一系列节点中的每一个以限定所述第二多维空间中的相应节点的第二系列; 将数据聚类算法应用于第二系列节点以识别第二多维空间内的节点簇，所述数据聚类算法受到一对节点簇之间的特征距离的测量以及时间距离的度量一对节点簇; 确定来自每个节点簇的代表图像，并针对所述视频图像序列的经过时间的度量来绘制每个代表图像，以形成指示下一个场景变化活动的场景desnity曲线; 以及根据场景极化曲线的局部最小值和/或最大值来分割视频图像的序列。

97. 发明公开

EP2112603A2 Clustering using non-negative matrix factorization on sparse graphs 审中-公开
标题翻译：聚合物Verwendung von nicht-negativer Matrizenfaktorisierung aufdünnbesetztenGraphen
公开(公告)号：EP2112603A2
公开(公告)日：2009-10-28
申请号：EP09153500.5
申请日：2009-02-24
申请人： Xerox Corporation
发明人： Perronnin, Florent , Bouchard, Guillaume
IPC分类号： G06F17/18
CPC分类号： G06F17/16 , G06K9/6224
摘要： Object clustering techniques are disclosed. A nonnegative sparse similarity matrix (36) is constructed for a set of objects (26). Nonnegative factorization (40) of the nonnegative sparse similarity matrix is performed. Objects of the set of objects are allocated to clusters based on factor matrices generated by the nonnegative factorization of the nonnegative sparse similarity matrix.
摘要翻译：公开了对象聚类技术。为一组对象（26）构造非负稀疏相似矩阵（36）。执行非负稀疏相似矩阵的非负因式分解（40）。基于非负稀疏相似矩阵的非负因子分解产生的因子矩阵，将对象集合中的对象分配给集群。

98. 发明公开

EP1782278A2 SYSTEM AND METHOD FOR DOCUMENT ANALYSIS, PROCESSING AND INFORMATION EXTRACTION 审中-公开
标题翻译： SYSTEM AND METHOD FOR文件分析，处理和信息提取
公开(公告)号：EP1782278A2
公开(公告)日：2007-05-09
申请号：EP05763161.6
申请日：2005-06-23
申请人： Plain Sight Systems, Inc.
发明人： COIFMAN, Ronald, R. , COPPI, Andreas, C. , GESHWIND, Frank , LAFON, Stephane, S. , LEE, Ann, B. , MAGGIONI, Mauro, M. , WARNER, Frederick, J. , ZUCKER, Steven , FATELEY, William, G.
IPC分类号： G06F17/30
CPC分类号： G06F17/30312 , G06F17/30286 , G06F17/30675 , G06K9/6224
摘要： The present invention is directed to a method and computer system for representing a dataset comprising N documents by computing a diffusion geometry of the dataset comprising at least a plurality of diffusion coordinates. The present method and system stores a number of diffusion coordinates, wherein the number is linear in proportion to N.

99. 发明公开

EP0436913A2 An adaptive clusterer 失效
标题翻译： Adaptiver Gruppierer。
公开(公告)号：EP0436913A2
公开(公告)日：1991-07-17
申请号：EP90125196.7
申请日：1990-12-21
申请人： Hughes Aircraft Company
发明人： Feintuch, Paul L. , Banach, Michael D.
IPC分类号： G06K9/62
CPC分类号： G06K9/6224 , G06K9/6226
摘要： This invention relates to a technique and system (34) for clustering a set of data points (18) in a data field. Clustering is performed by a set of rules which make no assumptions about the data fields. That is, the number of clusters, the distance between clusters, etc., need not be specified in advance. The invention calculates a distance R that is a function of the distances between each pair of points (18) in a data field. Operating on a chosen point, a parameter is calculated for each neighboring point within distance R from the chosen point. This parameter is proportional to the distance of the neighboring point to the chosen point. The chosen point P is then connected to a neighboring point on the basis of this parameter. All points, in any order are operating on as the new chosen point, so that the additional points may be linked to new chosen points in a similar manner. In this way, a tree-structure (22, 24) of connected points will form the desired clustering. Points (18) not having other points within distance R will not be clustered or linked.
摘要翻译：本发明涉及一种用于对一组数据点（18）进行聚类的技术和系统（34）。聚类由一组不对数据字段做出假设的规则执行。也就是说，不需要事先指定簇的数量，簇之间的距离等。本发明计算作为数据场中每对点（18）之间的距离的函数的距离R. 在选择的点上操作，对于距所选点的距离R内的每个相邻点计算一个参数。该参数与相邻点与选定点的距离成正比。所选点P然后根据该参数连接到相邻点。所有点以任何顺序作为新的选择点进行操作，使得附加点可以以类似的方式与新选择的点相关联。以这种方式，连接点的树结构（22,24）将形成所需的聚类。距离R内没有其他点的点（18）将不会聚集或链接。

100. 发明授权

KR101890467B1 시맨틱 어노테이션을 생성하는 시스템 및 방법 有权
公开(公告)号：KR101890467B1
公开(公告)日：2018-08-21
申请号：KR1020157008947
申请日：2013-09-12
申请人： 제네럴 일렉트릭 컴퍼니
发明人： 투피터헨리 , 리트쉬어얀스 , 관리
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00671 , G06F17/30781 , G06K9/00718 , G06K9/00771 , G06K9/62 , G06K9/6224 , G06K9/6288
摘要： 본기술의하나의양상에따라방법이개시된다. 방법은, 하나이상의센서들로부터새로운비디오를수신하는단계및 새로운비디오에기초하여새로운컨텐츠그래프(CG)를생성하는단계를포함한다. 방법은또한, 새로운 CG를복수의이전 CG들과비교하는단계를포함한다. 방법은, 제1 이전 CG의일부분과일치하는새로운 CG의제1 부분및 제2 이전 CG의일부분과일치하는새로운 CG의제2 부분을식별하는단계를더 포함한다. 방법은, 제1 이전 CG의일부분과연관된제1 시맨틱어노테이션(SA) 세트및 제2 이전 CG의일부분과연관된제2 SA 세트를분석하는단계를더 포함한다. 방법은, 제1 및제2 SA 세트의분석에기초하여새로운비디오에대한 SA들의시퀀스를생성하는단계를더 포함한다.

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