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公开(公告)号：US08175376B2
公开(公告)日：2012-05-08
申请号：US12400277
申请日：2009-03-09
IPC分类号： G06K9/62
CPC分类号： G06K9/4671 , G06F17/30256 , G06F17/3028 , G06K9/469 , G06K9/6278
摘要： An apparatus and method for detecting a region of interest in an image are disclosed. Image representations for a set of images that have been manually annotated with regions of interest are stored, along with positive and negative representations of each image which are similarly derived to the image representations except that they are based on features extracted from patches within the region of interest and outside it, respectively. For an original image for which a region of interest is desired, the stored information for K similar images is automatically retrieved and used to train a classifier. The trained classifier provides, for each patch of the original image, a probability of being in a region of interest, based extracted features of the patch (represented, for example, as a Fisher vector), which can be used to determine a region of interest in the original image.
摘要翻译： 公开了一种用于检测图像中的感兴趣区域的装置和方法。 存储已经用感兴趣区域手动注释的一组图像的图像表示，以及类似地导出到图像表示的每个图像的正和负表示，除了它们基于从区域内的补丁提取的特征 兴趣和外面分别。 对于期望感兴趣区域的原始图像，自动检索用于K个相似图像的存储信息，并用于训练分类器。 经训练的分类器为原始图像的每个片段提供在感兴趣区域中的基于提取的特征（例如，作为Fisher向量）的提取特征的概率，其可以用于确定 对原始图像的兴趣。
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公开(公告)号：US20100091330A1
公开(公告)日：2010-04-15
申请号：US12250248
申请日：2008-10-13
CPC分类号： G06K9/3233 , G06K9/4676
摘要： An automated system and a method for extracting a region of interest from a digital image are disclosed. The method includes identifying a subset of training images from a larger set of training images, each training image in the set having a respective identified region of interest. The subset is identified based on a measure of similarity between the digital image and the images in the set of training images. At least one region of interest is extracted from the digital image based on an analysis of the identified regions of interest in the subset of training images.
摘要翻译： 公开了一种用于从数字图像中提取感兴趣区域的自动化系统和方法。 该方法包括从较大的一组训练图像中识别训练图像的子集，该组中的每个训练图像具有相应的所识别的感兴趣区域。 基于训练图像集合中的数字图像和图像之间的相似度的度量来识别该子集。 基于训练图像的子集中所识别的感兴趣区域的分析，从数字图像中提取至少一个感兴趣区域。
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公开(公告)号：US08537409B2
公开(公告)日：2013-09-17
申请号：US12250248
申请日：2008-10-13
IPC分类号： G06K15/00
CPC分类号： G06K9/3233 , G06K9/4676
摘要： An automated system and a method for extracting a region of interest from a digital image are disclosed. The method includes identifying a subset of training images from a larger set of training images, each training image in the set having a respective identified region of interest. The subset is identified based on a measure of similarity between the digital image and the images in the set of training images. At least one region of interest is extracted from the digital image based on an analysis of the identified regions of interest in the subset of training images.
摘要翻译： 公开了一种用于从数字图像中提取感兴趣区域的自动化系统和方法。 该方法包括从较大的一组训练图像中识别训练图像的子集，该组中的每个训练图像具有相应的所识别的感兴趣区域。 基于训练图像集合中的数字图像和图像之间的相似度的度量来识别该子集。 基于训练图像的子集中所识别的感兴趣区域的分析，从数字图像中提取至少一个感兴趣区域。
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公开(公告)号：US20100159438A1
公开(公告)日：2010-06-24
申请号：US12340116
申请日：2008-12-19
申请人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
发明人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
CPC分类号： G06F17/30525 , G06F17/3053 , G06Q30/02 , G09B5/00
摘要： A recommender system and method including receiving a request identifying at least one current student for which a recommendation is sought and accessing stored student data including attributes associated with respective students of the current students and a plurality of predecessor students. For the predecessor students the attributes include educational resources. The method includes clustering one of predecessor students and the current students into clusters based on sameness of first selected attributes of their respective associated attributes. The method includes generating a mapping between respective students of the other of the predecessor and current students and one of the clusters based on sameness of second selected attributes associated with the students being mapped. The method then includes recommending for each of the current students the educational resource associated with the predecessor student or cluster of predecessor students that the current student is mapped with.
摘要翻译： 一种推荐系统和方法，包括接收标识至少一个当前学生的请求，所述至少一个当前学生被寻求推荐，并访问存储的学生数据，包括与当前学生的各个学生和多个前任学生相关联的属性。 对于前任学生，属性包括教育资源。 该方法包括根据其各自关联属性的第一选定属性的同一性，将前任学生和当前学生之一聚类成群集。 该方法包括基于与所映射的学生相关联的第二选定属性的一致性，生成前一个和当前学生中的另一个的各个学生之间的映射以及一个集群。 然后，该方法包括为当前学生中的每一个推荐与当前学生映射的前辈学生或前辈学生群相关联的教育资源。
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公开(公告)号：US20110129159A1
公开(公告)日：2011-06-02
申请号：US12627054
申请日：2009-11-30
申请人： Claudio Cifarelli
发明人： Claudio Cifarelli
CPC分类号： G06K9/6226 , G06F17/3028 , G06F17/30601
摘要： A method is employed to present image from an event. A plurality of images from the event are received and one or more clusters of images are created, wherein each cluster of images has a similarity greater than a predetermined threshold. A density value of the data distribution within each cluster is estimated and at least one local maximum associated with each cluster is identified via a density function. At least one image from each cluster is selected, wherein each image is a candidate for the presentation. A layout is created to present the images selected.
摘要翻译： 采用一种方法来呈现事件的图像。 接收来自事件的多个图像，并且创建一个或多个图像簇，其中每个图像簇具有大于预定阈值的相似度。 估计每个簇内的数据分布的密度值，并通过密度函数来识别与每个簇相关联的至少一个局部最大值。 选择来自每个群集的至少一个图像，其中每个图像是呈现的候选者。 创建布局以呈现所选图像。
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公开(公告)号：US20100159432A1
公开(公告)日：2010-06-24
申请号：US12339979
申请日：2008-12-19
申请人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
发明人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
CPC分类号： G06Q10/10
摘要： An educational recommender system and a method are provided. The method includes receiving a request to recommend a course of action related to a plurality of current students; accessing a computer database storing student data that corresponds to the plurality of current students; clustering in a computer process the plurality of current students into at least two clusters based at least on granular assessment data associated with student data corresponding to respective current students; and outputting the results of the clustering to a user. The granular assessment data includes a result of an assessment administered to respective students of the plurality of current students, and each assessment includes a plurality of questions for assessing one of the current students. The associated result includes an independent evaluation of each respective question of the plurality of questions.
摘要翻译： 提供教育推荐系统和方法。 该方法包括接收关于推荐与多个当前学生相关的行动过程的请求; 访问存储对应于多个当前学生的学生数据的计算机数据库; 至少基于与对应于当前学生的学生数据相关联的粒度评估数据，将计算机中的多个群集进行处理，将多个当前学生进入至少两个群集; 并将聚类的结果输出给用户。 粒度评估数据包括对多名当前学生的各个学生进行评估的结果，并且每个评估包括用于评估当前学生之一的多个问题。 相关联的结果包括对各个问题的每个相应问题的独立评估。
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公开(公告)号：US08457544B2
公开(公告)日：2013-06-04
申请号：US12340116
申请日：2008-12-19
申请人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
发明人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
IPC分类号： G09B3/00
CPC分类号： G06F17/30525 , G06F17/3053 , G06Q30/02 , G09B5/00
摘要： A recommender system and method including receiving a request identifying at least one current student for which a recommendation is sought and accessing stored student data including attributes associated with respective students of the current students and a plurality of predecessor students. For the predecessor students the attributes include educational resources. The method includes clustering one of predecessor students and the current students into clusters based on sameness of first selected attributes of their respective associated attributes. The method includes generating a mapping between respective students of the other of the predecessor and current students and one of the clusters based on sameness of second selected attributes associated with the students being mapped. The method then includes recommending for each of the current students the educational resource associated with the predecessor student or cluster of predecessor students that the current student is mapped with.
摘要翻译： 一种推荐系统和方法，包括接收标识至少一个当前学生的请求，所述至少一个当前学生被寻求推荐，并访问存储的学生数据，包括与当前学生的各个学生和多个前任学生相关联的属性。 对于前任学生，属性包括教育资源。 该方法包括根据其各自关联属性的第一选定属性的同一性，将前任学生和当前学生之一聚类成群集。 该方法包括基于与所映射的学生相关联的第二选定属性的一致性，生成前一个和当前学生中的另一个的各个学生之间的映射以及一个集群。 然后，该方法包括为当前学生中的每一个推荐与当前学生映射的前辈学生或前辈学生群相关联的教育资源。
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公开(公告)号：US20100159437A1
公开(公告)日：2010-06-24
申请号：US12340054
申请日：2008-12-19
申请人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
发明人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
摘要： A recommender system and method is provided, including receiving a request to recommend a course of action related to a plurality of current students in accordance with a plurality of constraints and accessing a computer database storing student data that corresponds to the plurality of current students. The student data includes attribute data corresponding to respective students of the plurality of current students for describing at least one attribute related to the respective students. The method further includes clustering in a computer process the plurality of current students into a selected number of clusters based at least on sameness of attribute data corresponding to the respective current students of the plurality of current students and the plurality of constraints, and outputting the results of the clustering to a user.
摘要翻译： 提供了一种推荐系统和方法，包括根据多个约束接收与多个当前学生相关的行动课程的请求，并访问存储与多个当前学生对应的学生数据的计算机数据库。 学生数据包括对应于多个当前学生的各个学生的属性数据，用于描述与各个学生相关的至少一个属性。 该方法还包括至少基于与当前学生的多个当前学生的当前学生对应的属性数据的同一性和多个约束，将计算机中的多个当前学生聚类成选定数量的群集，并输出结果 的聚类到用户。
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公开(公告)号：US08699939B2
公开(公告)日：2014-04-15
申请号：US12339979
申请日：2008-12-19
申请人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
发明人： Kristine A. German , Robert M. Lofthus , Robert Roy Price , Florent Perronnin , Claudio Cifarelli , Minh Do , Rong Zhou
IPC分类号： G09B3/00
CPC分类号： G06Q10/10
摘要： An educational recommender system and a method are provided. The method includes receiving a request to recommend a course of action related to a plurality of current students; accessing a computer database storing student data that corresponds to the plurality of current students; clustering in a computer process the plurality of current students into at least two clusters based at least on granular assessment data associated with student data corresponding to respective current students; and outputting the results of the clustering to a user. The granular assessment data includes a result of an assessment administered to respective students of the plurality of current students, and each assessment includes a plurality of questions for assessing one of the current students. The associated result includes an independent evaluation of each respective question of the plurality of questions.
摘要翻译： 提供教育推荐系统和方法。 该方法包括接收关于推荐与多个当前学生相关的行动过程的请求; 访问存储对应于多个当前学生的学生数据的计算机数据库; 至少基于与对应于当前学生的学生数据相关联的粒度评估数据，将计算机中的多个群集进行处理，将多个当前学生进入至少两个群集; 并将聚类的结果输出给用户。 粒度评估数据包括对多名当前学生的各个学生进行评估的结果，并且每个评估包括用于评估当前学生之一的多个问题。 相关联的结果包括对各个问题的每个相应问题的独立评估。
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公开(公告)号：US20100128919A1
公开(公告)日：2010-05-27
申请号：US12277779
申请日：2008-11-25
CPC分类号： G06K9/00758 , G06F17/30247 , G06F17/30265 , G06F17/30781
摘要： As set forth herein, a computer-based method is employed to align a sequences of images. Metadata associated with images from two or more sources is received and a time stamp is extracted from the metadata. The images are sorted into sequences based at least in part upon the image source. The similarity of images from disparate sequences is measured and image pairs from disparate sequences with a similarity greater than a predetermined threshold are identified. A sequence of images is aligned by minimizing the misalignment of pairs.
摘要翻译： 如本文所述，采用基于计算机的方法来对准图像序列。 接收与来自两个或多个源的图像相关联的元数据，并从元数据中提取时间戳。 至少部分地基于图像源将图像分类成序列。 测量来自不同序列的图像的相似性，并且识别具有大于预定阈值的相似性的不同序列的图像对。 通过最小化对的不对准来对齐一系列图像。
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