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1.发明申请DISCRIMINATIVE EMBEDDING OF LOCAL COLOR NAMES FOR OBJECT RETRIEVAL AND CLASSIFICATION 有权用于对象检索和分类的本地色彩名称的辨别性嵌入公开(公告)号：US20160300118A1
公开(公告)日：2016-10-13
申请号：US14680490
申请日：2015-04-07
Applicant: Xerox Corporation
Inventor： Naila Murray , Florent C. Perronnin
CPC classification number: G06K9/4652 , G06F17/30244 , G06K9/4671 , G06K9/52 , G06K9/6215 , G06K9/6259
Abstract: A system and method enable similarity measures to be computed between pairs of images and between a color name and an image in a common feature space. Reference image representations are generated by embedding color name descriptors for each reference image in the common feature space. Color name representations for different color names are generated by embedding synthesized color name descriptors in the common feature space. For a query including a color name, a similarity is computed between its color name representation and one or more of the reference image representations. For a query which includes a query image, a similarity is computed between a representation of the query image and one or more of reference image representations. The method also enables combined queries which include both a query image and a color name to be performed. One or more retrieved reference images, or information based thereon, is then output.
Abstract translation: 系统和方法使得能够在图像对之间以及公共特征空间中的颜色名称和图像之间计算相似性度量。 通过在公共特征空间中为每个参考图像嵌入颜色名称描述符来生成参考图像表示。 通过在公共特征空间中嵌入合成的颜色名称描述符来生成不同颜色名称的颜色名称表示。 对于包括颜色名称的查询，在其颜色名称表示和一个或多个参考图像表示之间计算相似度。 对于包括查询图像的查询，在查询图像的表示和参考图像表示中的一个或多个之间计算相似度。 该方法还使得能够执行查询图像和颜色名称的组合查询。 然后输出一个或多个检索到的参考图像或基于其的信息。
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公开(公告)号：US20170011279A1
公开(公告)日：2017-01-12
申请号：US14793374
申请日：2015-07-07
Applicant: Xerox Corporation
Inventor： Albert Gordo Soldevila , Jon Almazán Almazán , Naila Murray , Florent C. Perronnin
CPC classification number: G06K9/66 , G06F16/5846 , G06K9/00852 , G06K9/6202 , G06N3/04 , G06N3/084
Abstract: A system and method enable semantic comparisons to be made between word images and concepts. Training word images and their concept labels are used to learn parameters of a neural network for embedding word images and concepts in a semantic subspace in which comparisons can be made between word images and concepts without the need for transcribing the text content of the word image. The training of the neural network aims to minimize a ranking loss over the training set where non relevant concepts for an image which are ranked more highly than relevant ones penalize the ranking loss.
Abstract translation: 一种系统和方法可以在词图像和概念之间进行语义比较。 训练词图像及其概念标签用于学习神经网络的参数，用于将字图像和概念嵌入到语义子空间中，其中可以在词图像和概念之间进行比较，而不需要转录文字图像的文本内容。 神经网络的训练旨在最小化训练集中的排名损失，其中排名比相关比较高的图像的非相关概念惩罚排名损失。
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公开(公告)号：US20150186742A1
公开(公告)日：2015-07-02
申请号：US14141612
申请日：2013-12-27
Applicant: Xerox Corporation
Inventor： Naila Murray , Florent C. Perronnin
IPC: G06K9/46
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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4.发明申请公开(公告)号：US20140351264A1
公开(公告)日：2014-11-27
申请号：US13898880
申请日：2013-05-21
Applicant: Xerox Corporation
Inventor： Naila Murray , Luca Marchesotti , Florent Perronnin
IPC: G06F17/30
CPC classification number: G06F17/30247
Abstract: A method, a system, and a computer program product for extracting one or more images from a storage medium. A search model is selected based on the availability of a semantically related aesthetic model. A search model includes a generic aesthetic model if the semantically related aesthetic model for query is not available. A semantic score and an aesthetic score are computed based on the selected search model. The images are further ranked based on the semantic and aesthetic score.
Abstract translation: 一种用于从存储介质提取一个或多个图像的方法，系统和计算机程序产品。 基于语义相关的美学模型的可用性来选择搜索模型。 如果用于查询的语义相关的美学模型不可用，则搜索模型包括通用审美模型。 基于所选择的搜索模型计算语义分数和美学得分。 图像根据语义和美学得分进一步排名。
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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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Patent Agency Ranking
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：US09830529B2
公开(公告)日：2017-11-28
申请号：US15138821
申请日：2016-04-26
Applicant: Xerox Corporation
Inventor： Saumya Jetley , Naila Murray , Eleonora Vig
CPC classification number: G06K9/4671 , G06K9/0061 , G06K9/4628
Abstract: A method for generating a system for predicting saliency in an image and method of use of the prediction system are described. Attention maps for each of a set of training images are used to train the system. The training includes passing the training images though a neural network and optimizing an objective function over the training set which is based on a distance measure computed between a first probability distribution computed for a saliency map output by the neural network and a second probability distribution computed for the attention map for the respective training image. The trained neural network is suited to generation of saliency maps for new images.
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公开(公告)号：US20170308770A1
公开(公告)日：2017-10-26
申请号：US15138821
申请日：2016-04-26
Applicant: Xerox Corporation
Inventor： Saumya Jetley , Naila Murray , Eleonora Vig
CPC classification number: G06K9/4671 , G06K9/0061 , G06K9/4628
Abstract: A method for generating a system for predicting saliency in an image and method of use of the prediction system are described. Attention maps for each of a set of training images are used to train the system. The training includes passing the training images though a neural network and optimizing an objective function over the training set which is based on a distance measure computed between a first probability distribution computed for a saliency map output by the neural network and a second probability distribution computed for the attention map for the respective training image. The trained neural network is suited to generation of saliency maps for new images.
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公开(公告)号：US09600738B2
公开(公告)日：2017-03-21
申请号：US14680490
申请日：2015-04-07
Applicant: Xerox Corporation
Inventor： Naila Murray , Florent C. Perronnin
CPC classification number: G06K9/4652 , G06F17/30244 , G06K9/4671 , G06K9/52 , G06K9/6215 , G06K9/6259
Abstract: A system and method enable similarity measures to be computed between pairs of images and between a color name and an image in a common feature space. Reference image representations are generated by embedding color name descriptors for each reference image in the common feature space. Color name representations for different color names are generated by embedding synthesized color name descriptors in the common feature space. For a query including a color name, a similarity is computed between its color name representation and one or more of the reference image representations. For a query which includes a query image, a similarity is computed between a representation of the query image and one or more of reference image representations. The method also enables combined queries which include both a query image and a color name to be performed. One or more retrieved reference images, or information based thereon, is then output.
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10.发明申请ONE-TO-MANY MATCHING WITH APPLICATION TO EFFICIENT PRIVACY-PRESERVING RE-IDENTIFICATION 有权一次性匹配应用于有效的隐私保护重新标识公开(公告)号：US20160277190A1
公开(公告)日：2016-09-22
申请号：US14662939
申请日：2015-03-19
Applicant: Xerox Corporation
Inventor： Albert Gordo Soldevila , Naila Murray , Florent C. Perronnin
IPC: H04L9/32
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.
Abstract translation: 公开了用于确定被认证的人或物体是否是一组授权人或物体的成员的认证方法。 获取查询签名，其包括其元素存储要认证的人或物体的有序特征集的值的向量。 将查询签名与包含向量的聚合签名进行比较，该向量的元素存储该组授权人或对象的有序特征集的值。 授权人员或个人的个人签名不存储; 只有聚合签名。 根据比较确定被认证的人或物体是否是该组授权人员或对象的成员。 所述比较可以包括计算所述查询签名和所述聚合签名的内部产品，所述确定基于所述内部产品。
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