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31. 发明授权

EP2551792B1 System and method for computing the visual profile of a place 有权
标题翻译：系统和方法，用于计算图的视觉简档
公开(公告)号：EP2551792B1
公开(公告)日：2016-05-18
申请号：EP12175851.0
申请日：2012-07-11
申请人： Xerox Corporation
发明人： Perronnin, Florent , Guerin, Nicolas , Saunders, Craig John
IPC分类号： G06K9/00
CPC分类号： G06K9/00476

32. 发明公开

EP2897082A1 Methods and systems for improved license plate signature matching 有权转让
标题翻译： Verfahren und Systeme zum动词dessertenen Nummernschildsignaturvergleichen
公开(公告)号：EP2897082A1
公开(公告)日：2015-07-22
申请号：EP15154270.1
申请日：2012-11-09
申请人： Xerox Corporation
发明人： Serrano, Jose A Rodriguez , Bala, Raja , Perronnin, Florent , Saunders, Craig John , Zhao, Yonghui
IPC分类号： G06K9/62
CPC分类号： G06K9/6255 , G06K9/6217 , G06K2209/15
摘要： Methods and systems for improved license plate signature matching by similarity learning on synthetic images comprise generating (224) a plurality of synthetic license plate images; applying (230) one or more transformations to the synthetic license plate images to cause the synthetic license plate images to more closely resemble authentic license plate image captures; and providing the synthetic license plate images as inputs to a machine distance learning algorithm in which weighted similarity scores are calculated between signatures of analogous and non-analogous license plate images and one or more sets of signature weights are iteratively adjusted to increase the likelihood that comparing analogous license plate images results in high weighted signature similarity scores and comparing non-analogous license plate images results in low weighted signature similarity scores.
摘要翻译：用于通过合成图像上的相似性学习改进车牌签名匹配的方法和系统包括生成（224）多个合成车牌图像; 对合成车牌图像应用（230）一个或多个变换，以使合成车牌图像更接近于真正的车牌图像拍摄; 并且将合成车牌图像作为输入提供给机器距离学习算法，其中在类似和非类似车牌图像的签名与一组或多组签名权重之间计算加权相似度分数，以迭代地调整比较的可能性类似车牌图像导致高加权签名相似性得分，并且比较非类似车牌图像导致低加权签名相似性得分。

33. 发明公开

EP2595092A3 Methods and systems for improved license plate signature matching 有权转让
标题翻译：方法和系统改进的车牌特征比较
公开(公告)号：EP2595092A3
公开(公告)日：2014-09-03
申请号：EP12192069.8
申请日：2012-11-09
申请人： Xerox Corporation
发明人： Rodriguez Serrano, Jose A. , Bala, Raja , Perronnin, Florent , Saunders, Craig John , Zhao, Yonghui
IPC分类号： G06K9/62
CPC分类号： G06K9/6255 , G06K9/6217 , G06K2209/15
摘要： Methods and systems for improved license plate signature matching by similarity learning on synthetic images comprise generating (224) a plurality of synthetic license plate images; applying (230) one or more transformations to the synthetic license plate images to cause the synthetic license plate images to more closely resemble authentic license plate image captures; and providing the synthetic license plate images as inputs to a machine distance learning algorithm in which weighted similarity scores are calculated between signatures of analogous and non-analogous license plate images and one or more sets of signature weights are iteratively adjusted to increase the likelihood that comparing analogous license plate images results in high weighted signature similarity scores and comparing non-analogous license plate images results in low weighted signature similarity scores.

34. 发明公开

EP2166488A3 Handwritten word spotter using synthesized typed queries 有权
标题翻译：查找使用输入与键盘合成请求手写字
公开(公告)号：EP2166488A3
公开(公告)日：2013-07-17
申请号：EP09170674.7
申请日：2009-09-18
申请人： Xerox Corporation
发明人： Rodriguez Serrano, José A. , Perronnin, Florent
IPC分类号： G06F17/30 , G06K9/62
CPC分类号： G06K9/6279 , G06K9/00879 , G06K9/6297
摘要： A wordspotting system and method are disclosed for processing candidate word images extracted from handwritten documents. In response to a user inputting a selected query string, such as a word to be searched in one or more of the handwritten documents, the system automatically generates at least one computer-generated image based on the query string in a selected font or fonts. A model is trained on the computer-generated image(s) and is thereafter used in the scoring the candidate handwritten word images. The candidate or candidates with the highest scores and/or documents containing them can be presented to the user, tagged, or otherwise processed differently from other candidate word images/documents.

35. 发明公开

EP2214123A3 Model-based comparative measure for vector sequences and word spotting using same 审中-公开
标题翻译： Modellbasierte vergleichendeMaßnahmefürVektorsequenzen und Worterkennung damit
公开(公告)号：EP2214123A3
公开(公告)日：2011-07-06
申请号：EP10151521.1
申请日：2010-01-25
申请人： Xerox Corporation
发明人： Rodriguez Serrano, José A. , Perronnin, Florent
IPC分类号： G06K9/00 , G06K9/20 , G06K9/62
CPC分类号： G06K9/00879 , G06K9/2054 , G06K9/6215 , G06K9/6297 , G06K2209/01
摘要： An object comparison method comprises: generating a first ordered vector sequence representation (22) of a first object; generating a second ordered vector sequence representation of a second object; representing the first object by a first ordered sequence of model parameters generated by modeling the first ordered vector sequence representation using a semi-continuous hidden Markov model employing a universal basis; representing the second object by a second ordered sequence of model parameters generated by modeling the second ordered vector sequence representation using a semi-continuous hidden Markov model employing the universal basis; and comparing (40) the first and second ordered sequences of model parameters to generate a quantitative comparison measure.
摘要翻译：对象比较方法包括：生成第一对象的第一有序向量序列表示（22）; 产生第二对象的第二有序向量序列表示; 通过使用使用通用基础的半连续隐马尔科夫模型对第一有序向量序列表示进行建模而产生的模型参数的第一有序序列来代表第一对象; 通过使用使用通用基础的半连续隐马尔可夫模型对第二有序矢量序列表示进行建模而产生的模型参数的第二有序序列代表第二对象; 并比较（40）模型参数的第一和第二有序序列以产生定量比较测量。

36. 发明公开

EP2261823A3 Fast and efficient nonlinear classifier generated from a trained linear classifier 有权
标题翻译：由受过训练的分类器的线性产生更快和更高效非线性分类
公开(公告)号：EP2261823A3
公开(公告)日：2011-03-16
申请号：EP10165456.4
申请日：2010-06-10
申请人： Xerox Corporation
发明人： Perronnin, Florent , Sanchez, Jorge
IPC分类号： G06N7/00
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：投射一组锻炼矢量在矢量空间中，以通过一组使用比较函数以生成一组在比较空间投影对应锻炼矢量的参考矢量所定义的比较空间; 该组投射锻炼矢量的训练线性分类器，以产生在比较空间训练的操作的线性分类器; 和转化训练操作在比较空间到非线性训练的分类器的线性分类器做在矢量空间操作以分类输入向量。

37. 发明公开

EP2230628A2 Modeling images as sets of weighted features 审中-公开
标题翻译：图像的建模为多组的加权函数
公开(公告)号：EP2230628A2
公开(公告)日：2010-09-22
申请号：EP10151518.7
申请日：2010-01-25
申请人： Xerox Corporation
发明人： de Campos, Teofilo E , Perronnin, Florent
IPC分类号： G06K9/46
CPC分类号： G06K9/4671 , G06K9/00597 , G06K9/3233
摘要： An apparatus, method, and computer program product are provided for generating an image representation. The method includes receiving (S102) an input digital image, extracting (S110) features from the image which are representative of patches of the image, generating (S108) weighting factors for the features based on location relevance data for the image, and weighting (S114) the extracted features with the weighting factors to form a representation of the image.

38. 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。

39. 发明公开

EP1739593A1 Generic visual categorization method and system 有权
标题翻译： Verfahren und Anordnung zur generischen visuellen Kategorisierung
公开(公告)号：EP1739593A1
公开(公告)日：2007-01-03
申请号：EP06115147.8
申请日：2006-06-08
申请人： Xerox Corporation
发明人： Perronnin, Florent
IPC分类号： G06K9/62 , G06K9/00 , G06K9/46
CPC分类号： G06K9/4676
摘要： Generic visual categorization methods complement a general vocabulary with adapted vocabularies that are class specific. Images to be categorized are characterized within different categories through a histogram indicating whether the image is better described by the general vocabulary or the class-specific adapted vocabulary.
摘要翻译：通用视觉分类方法补充了具有类特定的适应词汇的一般词汇。要分类的图像通过直方图表征不同的类别，该直方图指示图像是否被一般词汇表或类别特定的适应词汇表更好地描述。

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