公开(公告)号：US20150242708A1

公开(公告)日：2015-08-27

申请号：US14186337

申请日：2014-02-21

Applicant: Xerox Corporation

Inventor： Kun Duan ,  Luca Marchesotti

IPC: G06K9/62 ,  G06K9/00

CPC classification number: G06K9/6269 ,  G06K9/4642 ,  G06K2209/23

Abstract: This disclosure provides method and systems of classifying a digital image of an object. Specifically, according to one exemplary embodiment, an object classifier is trained using a constrained MI-SVM (multiple instance-support vector machine) approach whereby training images of objects are sampled to generate a collection of image regions associated with an object type and viewpoint, and the classifier is trained to determine an appropriate mid-level representation of the training image which is discriminative.

Abstract translation: 本公开提供了对对象的数字图像进行分类的方法和系统。 具体地，根据一个示例性实施例，使用受约束的MI-SVM（多实例支持向量机）方法训练对象分类器，由此对对象的训练图像进行采样以生成与对象类型和视点相关联的图像区域的集合， 并且分类器被训练以确定鉴别性的训练图像的适当中级表示。

公开(公告)号：US09092694B2

公开(公告)日：2015-07-28

申请号：US13953775

申请日：2013-07-30

Applicant: Xerox Corporation

Inventor： Craig J. Saunders ,  Luca Marchesotti

IPC: G06K9/60 ,  G06K9/62 ,  G06Q10/10 ,  G06Q30/02

CPC classification number: G06K9/6201 ,  G06Q10/10 ,  G06Q30/02 ,  G06T11/60

Abstract: The disclosed embodiments are related to a method and system for creating a digital image album implementable on a computing device. The method includes receiving a plurality of digital images. The method further includes creating a first signature corresponding to each of the plurality of digital images. The method further includes comparing the first signature corresponding to each of the plurality of digital images with one or more second signatures. Each of the second signatures corresponds to each of one or more prototype digital albums. The method further includes selecting one or more digital images from the plurality of digital images based on the comparison to create the digital image album.

Abstract translation: 所公开的实施例涉及用于创建可在计算设备上实现的数字图像相册的方法和系统。 该方法包括接收多个数字图像。 该方法还包括创建与多个数字图像中的每一个对应的第一签名。 该方法还包括将与多个数字图像中的每一个对应的第一签名与一个或多个第二签名进行比较。 每个第二签名对应于一个或多个原型数字相册中的每一个。 该方法还包括基于比较从多个数字图像中选择一个或多个数字图像以创建数字图像相册。

公开(公告)号：US09082047B2

公开(公告)日：2015-07-14

申请号：US13971092

申请日：2013-08-20

Applicant: Xerox Corporation

Inventor： Luca Marchesotti

IPC: G06K9/62

CPC classification number: G06K9/627 ,  G06F17/30244 ,  G06K9/00684 ,  G06K9/6263

Abstract: A method for learning visual attribute labels for images includes, from textual comments associated with a corpus of images, identifying a set of candidate textual labels that are predictive of aesthetic scores associated with images in the corpus. The candidate labels in the set are clustered into a plurality of visual attribute clusters based on similarity and each of the clusters assigned a visual attribute label. For each of the visual attribute labels, a classifier is trained using visual representations of images in the corpus and respective visual attribute labels. The visual attribute labels are evaluated, based on performance of the trained classifier. A subset of the visual attribute labels is retained, based on the evaluation. The visual attribute labels can be used in processes such as image retrieval, image labeling, and the like.

Abstract translation: 用于学习图像的视觉属性标签的方法包括从与图像语料库相关联的文本注释中识别预测与语料库中的图像相关联的美学分数的一组候选文本标签。 基于相似性将集合中的候选标签聚类成多个视觉属性集群，并且每个集群分配了视觉属性标签。 对于每个视觉属性标签，使用语料库中的图像的视觉表示和相应的视觉属性标签训练分类器。 根据经过训练的分类器的性能，对视觉属性标签进行评估。 基于评估，保留视觉属性标签的一个子集。 视觉属性标签可用于诸如图像检索，图像标注等的处理。

公开(公告)号：US20140198986A1

公开(公告)日：2014-07-17

申请号：US13740442

申请日：2013-01-14

Applicant: XEROX CORPORATION

Inventor： Luca Marchesotti

IPC: G06K9/46

CPC classification number: G06F17/30274 ,  G06K9/00684 ,  G06K9/622 ,  G06K9/6255

Abstract: An image selection method includes receiving a collection of images and optionally, filtering the collection of images. The filtering may include removing images that are near-duplicates of other images in the collection. A plurality of features is extracted from each of the images in the optionally-filtered collection. The optionally-filtered collection of images is considered as a time-ordered sequence of images and is segmented to form a sequence of segments. Each segment includes at least one of the images. The segmenting of the sequence of images is based on the extracted features and positions of the images in the sequence of images. Images from the segments are selected to form a sub-collection of the images.

Abstract translation: 图像选择方法包括接收图像的集合，并且可选地，过滤图像的集合。 过滤可能包括删除集合中其他图像几乎重复的图像。 从可选过滤的集合中的每个图像中提取多个特征。 可选滤波的图像集合被认为是图像的时间有序序列，并被分段以形成片段序列。 每个段包括至少一个图像。 图像序列的分割基于图像序列中提取的特征和图像的位置。 选择来自片段的图像以形成图像的子集合。

公开(公告)号：US09116924B2

公开(公告)日：2015-08-25

申请号：US13740442

申请日：2013-01-14

Applicant: Xerox Corporation

Inventor： Luca Marchesotti

IPC: G06K9/36 ,  G06F17/30 ,  G06K9/00 ,  G06K9/62

CPC classification number: G06F17/30274 ,  G06K9/00684 ,  G06K9/622 ,  G06K9/6255

Abstract: An image selection method includes receiving a collection of images and optionally, filtering the collection of images. The filtering may include removing images that are near-duplicates of other images in the collection. A plurality of features is extracted from each of the images in the optionally-filtered collection. The optionally-filtered collection of images is considered as a time-ordered sequence of images and is segmented to form a sequence of segments. Each segment includes at least one of the images. The segmenting of the sequence of images is based on the extracted features and positions of the images in the sequence of images. Images from the segments are selected to form a sub-collection of the images.

Abstract translation: 图像选择方法包括接收图像的集合，并且可选地，过滤图像的集合。 过滤可能包括删除集合中其他图像几乎重复的图像。 从可选过滤集合中的每个图像中提取多个特征。 可选滤波的图像集合被认为是图像的时间有序序列，并被分段以形成片段序列。 每个段包括至少一个图像。 图像序列的分割基于图像序列中提取的特征和图像的位置。 选择来自片段的图像以形成图像的子集合。

公开(公告)号：US09443169B2

公开(公告)日：2016-09-13

申请号：US14186337

申请日：2014-02-21

Applicant: Xerox Corporation

Inventor： Kun Duan ,  Luca Marchesotti

IPC: G06K9/62 ,  G06K9/46

CPC classification number: G06K9/6269 ,  G06K9/4642 ,  G06K2209/23

Abstract: This disclosure provides method and systems of classifying a digital image of an object. Specifically, according to one exemplary embodiment, an object classifier is trained using a constrained MI-SVM (multiple instance-support vector machine) approach whereby training images of objects are sampled to generate a collection of image regions associated with an object type and viewpoint, and the classifier is trained to determine an appropriate mid-level representation of the training image which is discriminative.

Abstract translation: 本公开提供了对对象的数字图像进行分类的方法和系统。 具体地，根据一个示例性实施例，使用受约束的MI-SVM（多实例支持向量机）方法训练对象分类器，由此对对象的训练图像进行采样以生成与对象类型和视点相关联的图像区域的集合， 并且分类器被训练以确定鉴别性的训练图像的适当中级表示。

公开(公告)号：US09330110B2

公开(公告)日：2016-05-03

申请号：US13944023

申请日：2013-07-17

Applicant: Xerox Corporation

Inventor： Julianna Elizabeth Lin ,  Luca Marchesotti

IPC: G06F15/18 ,  G06F17/30 ,  G06N5/02 ,  G06N99/00

CPC classification number: G06F17/30247 ,  G06N5/025 ,  G06N99/005

Abstract: A system and method for searching a finite collection of images using at least one semantic network. Upon receipt of a query from a user that includes a theme and one or more initial keywords, a set of keywords based on the theme and including the initial keywords is generated from one or more semantic networks corresponding to the theme and/or initial keywords. When the finite collection of images includes suitable metadata, a result set is generated of images corresponding to the expanded set of keywords. When the finite collection includes images lacking in metadata, a remote third-party image collection is searched with the set of keywords to obtain a result set that is used to train visual classifiers as to visual concepts associated with the keywords. The classifiers are used to classify the images in the finite collection lacking metadata and the search of the finite collection is performed with the set of keywords to generate a result set.

Abstract translation: 一种用于使用至少一个语义网络搜索图像的有限集合的系统和方法。 在从包括主题和一个或多个初始关键字的用户接收到查询时，从与主题和/或初始关键字相对应的一个或多个语义网络生成基于主题并包括初始关键字的一组关键字。 当图像的有限集合包括适当的元数据时，生成与扩展的关键词组对应的图像的结果集。 当有限集合包括缺少元数据的图像时，使用该组关键字搜索远程第三方图像集合，以获得用于对与关键字相关联的视觉概念来训练视觉分类器的结果集。 分类器用于在缺少元数据的有限集合中对图像进行分类，并且使用该组关键字来搜索有限集合以生成结果集。

公开(公告)号：US20150036940A1

公开(公告)日：2015-02-05

申请号：US13953775

申请日：2013-07-30

Applicant: Xerox Corporation

Inventor： Craig J. Saunders ,  Luca Marchesotti

IPC: G06K9/62

CPC classification number: G06K9/6201 ,  G06Q10/10 ,  G06Q30/02 ,  G06T11/60

Abstract: The disclosed embodiments are related to a method and system for creating a digital image album implementable on a computing device. The method includes receiving a plurality of digital images. The method further includes creating a first signature corresponding to each of the plurality of digital images. The method further includes comparing the first signature corresponding to each of the plurality of digital images with one or more second signatures. Each of the second signatures corresponds to each of one or more prototype digital albums. The method further includes selecting one or more digital images from the plurality of digital images based on the comparison to create the digital image album.

Abstract translation: 所公开的实施例涉及用于创建可在计算设备上实现的数字图像相册的方法和系统。 该方法包括接收多个数字图像。 该方法还包括创建与多个数字图像中的每一个对应的第一签名。 该方法还包括将与多个数字图像中的每一个对应的第一签名与一个或多个第二签名进行比较。 每个第二签名对应于一个或多个原型数字相册中的每一个。 该方法还包括基于比较从多个数字图像中选择一个或多个数字图像以创建数字图像相册。

公开(公告)号：US20150026101A1

公开(公告)日：2015-01-22

申请号：US13944023

申请日：2013-07-17

Applicant: Xerox Corporation

Inventor： Julianna Elizabeth Lin ,  Luca Marchesotti

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F17/30247 ,  G06N5/025 ,  G06N99/005

Abstract: A system and method for searching a finite collection of images using at least one semantic network. Upon receipt of a query from a user that includes a theme and one or more initial keywords, a set of keywords based on the theme and including the initial keywords is generated from one or more semantic networks corresponding to the theme and/or initial keywords. When the finite collection of images includes suitable metadata, a result set is generated of images corresponding to the expanded set of keywords. When the finite collection includes images lacking in metadata, a remote third-party image collection is searched with the set of keywords to obtain a result set that is used to train visual classifiers as to visual concepts associated with the keywords. The classifiers are used to classify the images in the finite collection lacking metadata and the search of the finite collection is performed with the set of keywords to generate a result set.

Abstract translation: 一种用于使用至少一个语义网络搜索图像的有限集合的系统和方法。 在从包含主题和一个或多个初始关键字的用户接收到查询时，从对应于主题和/或初始关键字的一个或多个语义网络生成基于主题并包括初始关键字的一组关键字。 当图像的有限集合包括适当的元数据时，生成与扩展的关键词组对应的图像的结果集。 当有限集合包括缺少元数据的图像时，使用该组关键字搜索远程第三方图像集合，以获得用于对与关键字相关联的视觉概念来训练视觉分类器的结果集。 分类器用于在缺少元数据的有限集合中对图像进行分类，并且使用该组关键字来搜索有限集合以生成结果集。

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。