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11. 发明授权

US09355337B2 Consistent hierarchical labeling of image and image regions 有权
标题翻译：图像和图像区域的一致分层标签
公开(公告)号：US09355337B2
公开(公告)日：2016-05-31
申请号：US12546948
申请日：2009-08-25
申请人： Julian McAuley , Teofilo E. de Campos , Gabriela Csurka , Florent Perronnin
发明人： Julian McAuley , Teofilo E. de Campos , Gabriela Csurka , Florent Perronnin
IPC分类号： G06K9/62 , G06K9/52 , G06K9/00
CPC分类号： G06K9/6219 , G06K9/00684 , G06K9/527 , G06K9/6292
摘要： Classification of image regions comprises: recursively partitioning an image into a tree of image regions having the image as a tree root and at least one image patch in each leaf image region of the tree, the tree having nodes defined by the image regions and edges defined by pairs of nodes connected by edges of the tree; assigning unary classification potentials to nodes of the tree; assigning pairwise classification potentials to edges of the tree; and labeling the image regions of the tree of image regions based on optimizing an objective function comprising an aggregation of the unary classification potentials and the pairwise classification potentials.
摘要翻译：图像区域的分类包括：将图像递归地划分为具有树根的图像的图像区域的树和在树的每个叶子图像区域中的至少一个图像块，所述树具有由图像区域定义的节点和限定的边缘由树的边缘连接的节点对; 将一元分类电位分配给树的节点; 将成对分类电位分配给树的边缘; 以及基于优化包括一元分类电位和成对分类电位的聚集的目标函数来标记图像区域的树的图像区域。

12. 发明授权

US08489585B2 Efficient document processing system and method 有权
标题翻译：高效的文件处理系统和方法
公开(公告)号：US08489585B2
公开(公告)日：2013-07-16
申请号：US13331096
申请日：2011-12-20
申请人： Diane Larlus , Florent Perronnin
发明人： Diane Larlus , Florent Perronnin
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30017
摘要： A document processing system and method are disclosed. In the method local scores are incrementally computed for document samples, based on local features extracted from the respective sample. A global score is estimated for the document based on the local scores currently computed, i.e., on fewer than all document samples. A confidence in a decision for the estimated global score is computed. The computed confidence is based on the local scores currently computed and, optionally, the number of samples used in computing the estimated global score. A classification decision, such as a categorization or retrieval decision for the document is output, based on the estimated score when the computed confidence in the decision reaches a threshold value.
摘要翻译：公开了一种文件处理系统和方法。在该方法中，基于从相应样本提取的局部特征，对文档样本递增地计算局部分数。基于当前计算的本地分数（即，少于所有文档样本）为文档估计全局分数。计算对估计全局分数的决定的信心。所计算的置信度基于当前计算的局部分数，以及可选地，用于计算估计全局得分的样本数。当计算出的对判定的置信度达到阈值时，基于估计的分数来输出诸如文档的分类或检索决定的分类决定。

13. 发明申请

US20130159292A1 EFFICIENT DOCUMENT PROCESSING SYSTEM AND METHOD 有权
标题翻译：高效的文件处理系统和方法
公开(公告)号：US20130159292A1
公开(公告)日：2013-06-20
申请号：US13331096
申请日：2011-12-20
申请人： Diane Larlus , Florent Perronnin
发明人： Diane Larlus , Florent Perronnin
IPC分类号： G06F17/30
CPC分类号： G06F17/30017
摘要： A document processing system and method are disclosed. In the method local scores are incrementally computed for document samples, based on local features extracted from the respective sample. A global score is estimated for the document based on the local scores currently computed, i.e., on fewer than all document samples. A confidence in a decision for the estimated global score is computed. The computed confidence is based on the local scores currently computed and, optionally, the number of samples used in computing the estimated global score. A classification decision, such as a categorization or retrieval decision for the document is output, based on the estimated score when the computed confidence in the decision reaches a threshold value.
摘要翻译：公开了一种文件处理系统和方法。在该方法中，基于从相应样本提取的局部特征，对文档样本递增地计算局部分数。基于当前计算的本地分数（即，少于所有文档样本）为文档估计全局分数。计算对估计全局分数的决定的信心。所计算的置信度基于当前计算的局部分数，以及可选地，用于计算估计全局得分的样本数。当计算出的对判定的置信度达到阈值时，基于估计的分数来输出诸如文档的分类或检索决定的分类决定。

14. 发明授权

US08370338B2 Large-scale asymmetric comparison computation for binary embeddings 有权
标题翻译：二进制嵌入的大规模非对称比较计算
公开(公告)号：US08370338B2
公开(公告)日：2013-02-05
申请号：US12960018
申请日：2010-12-03
申请人： Albert Gordo , Florent Perronnin
发明人： Albert Gordo , Florent Perronnin
IPC分类号： G06F17/30
CPC分类号： G06F17/30247
摘要： A system and method for comparing a query object and one or more of a set of database objects are provided. The method includes providing quantized representations of database objects. The database objects have each been transformed with a quantized embedding function which is the composition of a real-valued embedding function and a quantization function. The query object is transformed to a representation of the query object in a real-valued embedding space using the real-valued embedding function. Query-dependent estimated distance values are computed for the query object, based on the transformed query object and stored. A comparison (e.g., distance or similarity) measure between the query object and each of the quantized database object representations is computed based on the stored query-dependent estimated distance values. Data is output based on the comparison computation.
摘要翻译：提供了一种用于比较查询对象与一组数据库对象中的一个或多个的系统和方法。该方法包括提供数据库对象的量化表示。数据库对象每个都已经用量化嵌入函数进行了变换，该量化嵌入函数是实值嵌入函数和量化函数的组合。使用实值嵌入函数将查询对象转换为实值嵌入空间中的查询对象的表示。基于所转换的查询对象并存储查询对象，计算与查询相关的估计距离值。基于存储的与查询相关的估计距离值来计算查询对象和每个量化数据库对象表示之间的比较（例如，距离或相似性）度量。基于比较计算输出数据。

15. 发明申请

US20120033874A1 Learning weights of fonts for typed samples in handwritten keyword spotting 有权
标题翻译：学习手写关键词点样中类型样本的字体权重
公开(公告)号：US20120033874A1
公开(公告)日：2012-02-09
申请号：US12851092
申请日：2010-08-05
申请人： Florent Perronnin , Thierry Lehoux , Francois Ragnet
发明人： Florent Perronnin , Thierry Lehoux , Francois Ragnet
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/00879 , G06K9/6255 , G06K9/6828
摘要： A wordspotting system and method are disclosed. The method includes receiving a keyword and, for each of a set of typographical fonts, synthesizing a word image based on the keyword. A keyword model is trained based on the synthesized word images and the respective weights for each of the set of typographical fonts. Using the trained keyword model, handwritten word images of a collection of handwritten word images which match the keyword are identified. The weights allow a large set of fonts to be considered, with the weights indicating the relative relevance of each font for modeling a set of handwritten word images.
摘要翻译：公开了一种wordspotting系统和方法。该方法包括接收关键字，并且针对一组排版字体中的每一个，基于关键字合成单词图像。基于合成的单词图像和每组排版字体的相应权重来训练关键词模型。使用经过训练的关键词模型，识别与该关键词匹配的手写词图像集合的手写词图像。权重允许考虑一大堆字体，权重指示每个字体的相对相关性，用于对一组手写字图像进行建模。

16. 发明授权

US08031202B2 Color transfer between images through color palette adaptation 有权
标题翻译：图像之间的颜色转移通过调色板适应
公开(公告)号：US08031202B2
公开(公告)日：2011-10-04
申请号：US12045807
申请日：2008-03-11
申请人： Florent Perronnin
发明人： Florent Perronnin
IPC分类号： G09G5/00 , G09G5/02 , H04N5/202 , H04N1/46 , H04N5/46 , G03F3/08 , G06K9/00 , H04N11/00 , G06K9/40
CPC分类号： G09G5/06 , G09G2320/0666 , G09G2340/0407 , G09G2340/10
摘要： An image adjustment includes adapting a universal palette to generate (i) an input image palette statistically representative of pixels of an input image and (ii) a reference image palette statistically representative of pixels of a reference image, and adjusting at least some pixels of the input image to generate adjusted pixels that are statistically represented by the reference image palette. In some embodiments, a user interface for controlling the image adjustment includes a display and at least one user input device, the user interface displaying a set of colors indicative of the regions of color space represented by a palette and receiving a selection of one or more regions of the color space, so that the image adjustment adjusts those pixels of the input image lying within the one or more selected regions of the color space.
摘要翻译：图像调整包括调整通用调色板以产生（i）统计上代表输入图像的像素的输入图像调色板和（ii）统计代表参考图像的像素的参考图像调色板，并且调整至少一些像素输入图像以生成由参考图像调色板统计表示的调整像素。在一些实施例中，用于控制图像调整的用户界面包括显示器和至少一个用户输入设备，用户界面显示指示由调色板表示的颜色空间区域的一组颜色，并且接收一个或多个颜色空间的区域，使得图像调整调整位于该颜色空间的一个或多个所选区域内的输入图像的像素。

17. 发明授权

US08027540B2 Asymmetric score normalization for handwritten word spotting system 有权
标题翻译：手写字识别系统的不对称分数归一化
公开(公告)号：US08027540B2
公开(公告)日：2011-09-27
申请号：US12014193
申请日：2008-01-15
申请人： Jose A. Rodriguez Serrano , Florent Perronnin
发明人： Jose A. Rodriguez Serrano , Florent Perronnin
IPC分类号： G06K9/18
CPC分类号： G06K9/00879 , G06K9/6292
摘要： A method begins by receiving an image of a handwritten item. The method performs a word segmentation process on the image to produce a sub-image and extracts a set of feature vectors from the sub-image. Then, the method performs an asymmetric approach that computes a first log-likelihood score of the feature vectors using a word model having a first structure (such as one comprising a Hidden Markov Model (HMM)) and also computes a second log-likelihood score of the feature vectors using a background model having a second structure (such as one comprising a Gaussian Mixture Model (GMM)). The method computes a final score for the sub-image by subtracting the second log-likelihood score from the first log-likelihood score. The final score is then compared against a predetermined standard to produce a word identification result and the word identification result is output.
摘要翻译：方法从接收手写物品的图像开始。该方法对图像执行字分割处理以产生子图像，并从子图像提取一组特征向量。然后，该方法执行非对称方法，其使用具有第一结构（诸如包括隐马尔可夫模型（HMM）的单词）的单词模型来计算特征向量的第一对数似然分数，并且还计算第二对数似然分数的特征向量使用具有第二结构的背景模型（例如包括高斯混合模型（GMM）的背景模型））。该方法通过从第一对数似然分数中减去第二对数似然分数来计算子图像的最终得分。然后将最终得分与预定标准进行比较以产生字识别结果，并输出字识别结果。

18. 发明申请

US20110137898A1 UNSTRUCTURED DOCUMENT CLASSIFICATION 审中-公开
标题翻译：未经规定的文件分类
公开(公告)号：US20110137898A1
公开(公告)日：2011-06-09
申请号：US12632135
申请日：2009-12-07
申请人： Albert Gordo , Florent Perronnin , Francois Ragnet
发明人： Albert Gordo , Florent Perronnin , Francois Ragnet
IPC分类号： G06F17/30
CPC分类号： G06F16/35 , G06F16/93
摘要： A document classification method comprises: (i) classifying pages of an input document to generate page classifications; (ii) aggregating the page classifications to generate an input document representation, the aggregating not being based on ordering of the pages; and (iii) classifying the input document based on the input document representation. A page classifier for use in the page classifying operation (i) is trained based on pages of a set of labeled training documents having document classification labels. In some such embodiments, the pages of the set of labeled training documents are not labeled, and the page classifier training comprises: clustering pages of the set of labeled training documents to generate page clusters; and generating the page classifier based on the page clusters.
摘要翻译：文档分类方法包括：（i）分类输入文档的页面以生成页面分类; （ii）聚合页面分类以生成输入文档表示，聚合不是基于页面的排序; 和（iii）基于输入文档表示对输入文档进行分类。用于页面分类操作（i）中的页面分类器基于具有文档分类标签的一组标记的训练文档的页面进行训练。在一些这样的实施例中，标记的训练文档集合的页面没有被标记，并且页面分类器训练包括：聚集所标识的训练文档集合的页面以生成页面簇; 以及基于页面集群生成页面分类器。

19. 发明申请

US20110026831A1 COMPACT SIGNATURE FOR UNORDERED VECTOR SETS WITH APPLICATION TO IMAGE RETRIEVAL 有权
标题翻译：用于图像检索应用的无符号矢量集的紧凑签名
公开(公告)号：US20110026831A1
公开(公告)日：2011-02-03
申请号：US12512209
申请日：2009-07-30
申请人： Florent Perronnin , Herve Poirier
发明人： Florent Perronnin , Herve Poirier
IPC分类号： G06K9/48 , G06F17/30 , G06F7/10
CPC分类号： G06F17/30244 , G06F19/00 , G06K9/6212 , G06K9/6277
摘要： To compute a signature for an object comprising or represented by a set of vectors in a vector space of dimensionality D, statistics are computed that are indicative of distribution of the vectors of the set of vectors amongst a set of regions Ri, i=1, . . . , N of the vector space, at least some statistics associated with each region are binarized to generate sets of binary values ai, i=1, . . . , N indicative of statistics of the vectors of the set of vectors belonging to the respective regions Ri, i=1, . . . , N; and a vector set signature is defined for the set of vectors including the sets of binary values ai, i=1, . . . , N. The computing, binarizing, and defining operations may be repeated for two sets of vectors, and a quantitative comparison of the two sets of vectors determined based on the corresponding vector set signatures.
摘要翻译：为了计算包括或由维度D的向量空间中的一组向量表示的对象的签名，计算指示一组区域Ri，i = 1之间的向量集合的向量的分布的统计，。。。，N的向量空间，至少与每个区域相关联的一些统计量被二值化以生成二进制值集合a i，i = 1。。。，N表示属于各个区域Ri，i = 1的矢量组的矢量的统计。。。，N; 并且为包括二进制值ai，i = 1的集合的向量集合定义向量集签名。。。可以针对两组向量重复计算，二值化和定义操作，以及基于相应向量集签名确定的两组向量的定量比较。

20. 发明申请

US20100318477A1 FAST AND EFFICIENT NONLINEAR CLASSIFIER GENERATED FROM A TRAINED LINEAR CLASSIFIER 有权
标题翻译：从训练线性分类器生成的快速有效的非线性分类器
公开(公告)号：US20100318477A1
公开(公告)日：2010-12-16
申请号：US12483391
申请日：2009-06-12
申请人： Florent Perronnin , Jorge Sanchez
发明人： Florent Perronnin , Jorge Sanchez
IPC分类号： G06F15/18
CPC分类号： G06K9/6271 , G06N99/005
摘要： A classifier method comprises: projecting a set of training vectors in a vector space to a comparison space defined by a set of reference vectors using a comparison function to generate a corresponding set of projected training vectors in the comparison space; training a linear classifier on the set of projected training vectors to generate a trained linear classifier operative in the comparison space; and transforming the trained linear classifier operative in the comparison space into a trained nonlinear classifier that is operative in the vector space to classify an input vector.
摘要翻译：分类器方法包括：使用比较函数将矢量空间中的一组训练矢量投影到由一组参考矢量定义的比较空间，以在比较空间中生成相应的一组投影训练矢量; 在所述一组投影训练矢量上训练线性分类器以产生在比较空间中操作的经训练的线性分类器; 以及将在所述比较空间中操作的经训练的线性分类器变换成在所述向量空间中操作以对输入向量进行分类的经训练的非线性分类器。

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