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1.发明申请公开(公告)号：US20160155020A1
公开(公告)日：2016-06-02
申请号：US14557891
申请日：2014-12-02
Applicant: Xerox Corporation
Inventor： Usman Tariq , José Antonio Rodriguez Serrano , Florent C. Perronnin
CPC classification number: G06K9/6215 , G06K9/00771 , G06K9/3258 , G06K9/4609 , G06K9/6202 , G06T7/344
Abstract: A method includes adapting the universal generative model of local descriptors to a first camera to obtain a first camera-dependent generative model. The same universal generative model is also adapted to a second camera to obtain a second camera-dependent generative model. From a first image captured by the first camera, a first image-level descriptor is extracted, using the first camera-dependent generative model. From a second image captured by the second camera, a second image-level descriptor is extracted using the second camera-dependent generative model. A similarity is computed between the first image-level descriptor and the second image-level descriptor. Information is output, based on the computed similarity. The adaptation allows differences between the image-level descriptors to be shifted towards deviations in image content, rather than the imaging conditions.
Abstract translation: 一种方法包括将本地描述符的通用生成模型适配到第一相机以获得第一相机依赖生成模型。 相同的通用生成模型也适用于第二相机以获得第二相机依赖生成模型。 从第一相机拍摄的第一图像，使用第一相机依赖生成模型提取第一图像级描述符。 从第二相机拍摄的第二图像，使用第二相机依赖生成模型提取第二图像级描述符。 在第一图像级描述符和第二图像级描述符之间计算相似度。 基于计算出的相似度输出信息。 该适配允许图像级别描述符之间的差异被移向图像内容的偏差，而不是成像条件。
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公开(公告)号：US20150104073A1
公开(公告)日：2015-04-16
申请号：US14054998
申请日：2013-10-16
Applicant: Xerox Corporation
Inventor： Jose Antonio Rodriguez-Serrano , Florent C. Perronnin , Herve Poirier , Frederic Roulland , Victor Ciriza
CPC classification number: G06K9/3258 , G06F17/30253 , G06K9/00791 , G06K9/6212 , G06K9/6277 , G06K2209/15 , G06K2209/27
Abstract: A method for recognition of an identifier such as a license plate includes storing first visual signatures, each extracted from a first image of a respective object, such as a vehicle, captured at a first location, and first information associated with the first captured image, such as a time stamp. A second visual signature is extracted from a second image of a second object captured at a second location and second information associated with the second captured image is acquired. A measure of similarity is computed between the second visual signature and at least some of the first visual signatures to identify a matching one. A test is performed, which is a function of the first and the second information associated with the matching signatures. Only when it is confirmed that the test has been met, identifier recognition is performed to identify the identifier of the second object.
Abstract translation: 用于识别诸如车牌的标识符的方法包括存储从在第一位置捕获的诸如车辆的相应对象的第一图像提取的第一视觉签名以及与第一拍摄图像相关联的第一信息， 如时间戳。 从第二位置捕获的第二对象的第二图像提取第二视觉签名，并且获取与第二拍摄图像相关联的第二信息。 在第二视觉签名和至少一些第一视觉签名之间计算相似度的度量以识别匹配的一个。 执行测试，其是与匹配签名相关联的第一和第二信息的函数。 只有当确认已经满足测试时，才执行标识符识别以识别第二个对象的标识符。
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公开(公告)号：US09008429B2
公开(公告)日：2015-04-14
申请号：US13757014
申请日：2013-02-01
Applicant: Xerox Corporation
Inventor： Jose Antonio Rodriguez-Serrano , Florent C. Perronnin
CPC classification number: G06K9/18 , G06K9/3258 , G06K9/6269 , G06K2209/15
Abstract: A system and method for comparing a text image and a character string are provided. The method includes embedding a character string into a vectorial space by extracting a set of features from the character string and generating a character string representation based on the extracted features, such as a spatial pyramid bag of characters (SPBOC) representation. A text image is embedded into a vectorial space by extracting a set of features from the text image and generating a text image representation based on the text image extracted features. A compatibility between the text image representation and the character string representation is computed, which includes computing a function of the text image representation and character string representation.
Abstract translation: 提供了一种用于比较文本图像和字符串的系统和方法。 该方法包括通过从字符串提取一组特征并基于所提取的特征（诸如空间金字塔包（SPBOC）表示）生成字符串表示来将字符串嵌入向量空间中。 文本图像通过从文本图像提取一组特征并且基于文本图像提取的特征生成文本图像表示来嵌入向量空间中。 计算文本图像表示和字符串表示之间的兼容性，其包括计算文本图像表示和字符串表示的功能。
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公开(公告)号：US20140376804A1
公开(公告)日：2014-12-25
申请号：US13923639
申请日：2013-06-21
Applicant: Xerox Corporation
Inventor： Zeynep Akata , Florent C. Perronnin , Zaid Harchaoui , Cordelia L. Schmid
CPC classification number: G06K9/6267 , G06K9/00496 , G06K9/4633 , G06K9/4676 , G06K9/4685 , G06K9/6232 , G06K9/6234 , G06K9/6244 , G06K9/628
Abstract: In image classification, each class of a set of classes is embedded in an attribute space where each dimension of the attribute space corresponds to a class attribute. The embedding generates a class attribute vector for each class of the set of classes. A set of parameters of a prediction function operating in the attribute space respective to a set of training images annotated with classes of the set of classes is optimized such that the prediction function with the optimized set of parameters optimally predicts the annotated classes for the set of training images. The prediction function with the optimized set of parameters is applied to an input image to generate at least one class label for the input image. The image classification does not include applying a class attribute classifier to the input image.
Abstract translation: 在图像分类中，一组类的每个类嵌入在属性空间中，其中属性空间的每个维对应于一个类属性。 嵌入生成一组类的每个类的类属性向量。 优化在属性空间中操作的预测函数的一组参数，该属性空间分别对应于该类类的类别注释的一组训练图像，使得具有优化参数集合的预测函数最优地预测该组的注释类 训练图像。 将具有优化参数集的预测函数应用于输入图像以生成用于输入图像的至少一个类标签。 图像分类不包括将类属性分类器应用于输入图像。
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公开(公告)号：US20140355835A1
公开(公告)日：2014-12-04
申请号：US13903218
申请日：2013-05-28
Applicant: Xerox Corporation
Inventor： Jose Antonio Rodriguez-Serrano , Florent C. Perronnin
IPC: G06K9/72
CPC classification number: G06K9/72 , G06K9/00872 , G06K9/3258 , G06K9/6232 , G06K2209/15
Abstract: A system and method for computing confidence in an output of a text recognition system includes performing character recognition on an input text image with a text recognition system to generate a candidate string of characters. A first representation is generated, based on the candidate string of characters, and a second representation is generated based on the input text image. A confidence in the candidate string of characters is computed based on a computed similarity between the first and second representations in a common embedding space.
Abstract translation: 用于计算文本识别系统的输出的置信度的系统和方法包括使用文本识别系统对输入文本图像执行字符识别以生成候选字符串。 基于候选字符串生成第一表示，并且基于输入的文本图像生成第二表示。 基于在公共嵌入空间中计算出的第一和第二表示之间的相似度来计算候选字符串的置信度。
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Patent Agency Ranking
公开(公告)号：US09762393B2
公开(公告)日：2017-09-12
申请号：US14662939
申请日：2015-03-19
Applicant: Xerox Corporation
Inventor： Albert Gordo Soldevila , Naila Murray , Florent C. Perronnin
CPC classification number: H04L9/3231 , G06Q10/00 , H04L9/3247
Abstract: Authentication methods are disclosed for determining whether a person or object to be authenticated is a member of a set of authorized persons or objects. A query signature is acquired comprising a vector whose elements store values of an ordered set of features for the person or object to be authenticated. The query signature is compared with an aggregate signature comprising a vector whose elements store values of the ordered set of features for the set of authorized persons or objects. The individual signatures for the authorized persons or objects are not stored; only the aggregate signature. It is determined whether the person or object to be authenticated is a member of the set of authorized persons or objects based on the comparison. The comparing may comprise computing an inner product of the query signature and the aggregate signature, with the determining being based on the inner product.
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公开(公告)号：US09589231B2
公开(公告)日：2017-03-07
申请号：US14263348
申请日：2014-04-28
Applicant: Xerox Corporation
Inventor： Gabriela Csurka , Florent C. Perronnin
Abstract: A method for diagnosis assistance exploits similarity between a new medical case and existing medical cases and experts when embedded in a common embedding space. Different types of queries are provided for, including a query-by-cases and a query-by-experts. These may be associated with different cost structures that encourage the requester to use the query-by-cases first and seek expert assistance if this proves unsuccessful. Depending on whether the query-by-cases or query-by-experts is requested, a subset of the existing cases or experts is identified based on the similarity of their representations, in the embedding space, with a representation of the new case in the embedding space. There may then be provision for communicating the new case to a selected one or more of the subset of experts for the expert to attempt to provide a diagnosis.
Abstract translation: 诊断辅助的方法在嵌入在共同的嵌入空间中时，利用新的医疗病例与现有医疗案例和专家之间的相似性。 提供了不同类型的查询，包括逐个查询和专家查询。 这些可能与不同的成本结构相关联，鼓励请求者首先使用逐个查询，并且如果这证明不成功，则寻求专家协助。 根据逐个查询或专家查询是否被请求，现有案例或专家的一个子集根据其表示在嵌入空间中的相似性与新案例中的相似性进行识别 嵌入空间 然后可以提供用于将新情况传达给选定的一个或多个专家子集以供专家尝试提供诊断。
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公开(公告)号：US09424492B2
公开(公告)日：2016-08-23
申请号：US14141612
申请日：2013-12-27
Applicant: Xerox Corporation
Inventor： Naila Murray , Florent C. Perronnin
CPC classification number: G06K9/629 , G06K9/4676
Abstract: A method for generating an image representation includes generating a set of embedded descriptors, comprising, for each of a set of patches of an image, extracting a patch descriptor which is representative of the pixels in the patch and embedding the patch descriptor in a multidimensional space to form an embedded descriptor. An image representation is generated by aggregating the set of embedded descriptors. In the aggregation, each descriptor is weighted with a respective weight in a set of weights, the set of weights being computed based on the patch descriptors for the image. Information based on the image representation is output. At least one of the extracting of the patch descriptors, embedding the patch descriptors, and generating the image representation is performed with a computer processor.
Abstract translation: 一种用于生成图像表示的方法包括生成一组嵌入描述符，包括：对于图像的一组补丁中的每一个，提取代表补丁中的像素的补丁描述符，并将补丁描述符嵌入到多维空间中 以形成嵌入式描述符。 通过聚合嵌入式描述符集来生成图像表示。 在聚合中，每个描述符以一组权重中的相应权重进行加权，该权重集合基于图像的补丁描述符来计算。 输出基于图像表示的信息。 使用计算机处理器执行提取补丁描述符，嵌入补丁描述符和生成图像表示中的至少一个。
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公开(公告)号：US09384423B2
公开(公告)日：2016-07-05
申请号：US13903218
申请日：2013-05-28
Applicant: Xerox Corporation
Inventor： Jose Antonio Rodriguez-Serrano , Florent C. Perronnin
CPC classification number: G06K9/72 , G06K9/00872 , G06K9/3258 , G06K9/6232 , G06K2209/15
Abstract: A system and method for computing confidence in an output of a text recognition system includes performing character recognition on an input text image with a text recognition system to generate a candidate string of characters. A first representation is generated, based on the candidate string of characters, and a second representation is generated based on the input text image. A confidence in the candidate string of characters is computed based on a computed similarity between the first and second representations in a common embedding space.
Abstract translation: 用于计算文本识别系统的输出的置信度的系统和方法包括使用文本识别系统对输入文本图像执行字符识别以生成候选字符串。 基于候选字符串生成第一表示，并且基于输入的文本图像生成第二表示。 基于在公共嵌入空间中计算出的第一和第二表示之间的相似度来计算候选字符串的置信度。
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公开(公告)号：US20140219563A1
公开(公告)日：2014-08-07
申请号：US13757014
申请日：2013-02-01
Applicant: XEROX CORPORATION
Inventor： Jose Antonio Rodriguez-Serrano , Florent C. Perronnin
IPC: G06K9/18
CPC classification number: G06K9/18 , G06K9/3258 , G06K9/6269 , G06K2209/15
Abstract: A system and method for comparing a text image and a character string are provided. The method includes embedding a character string into a vectorial space by extracting a set of features from the character string and generating a character string representation based on the extracted features, such as a spatial pyramid bag of characters (SPBOC) representation. A text image is embedded into a vectorial space by extracting a set of features from the text image and generating a text image representation based on the text image extracted features. A compatibility between the text image representation and the character string representation is computed, which includes computing a function of the text image representation and character string representation.
Abstract translation: 提供了一种用于比较文本图像和字符串的系统和方法。 该方法包括通过从字符串提取一组特征并基于所提取的特征（诸如空间金字塔包（SPBOC）表示）生成字符串表示来将字符串嵌入向量空间中。 文本图像通过从文本图像提取一组特征并且基于文本图像提取的特征生成文本图像表示来嵌入向量空间中。 计算文本图像表示和字符串表示之间的兼容性，其包括计算文本图像表示和字符串表示的功能。
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