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31. 发明授权

US10262042B2 System and method for determining that two data records relate to the same subject 有权
公开(公告)号：US10262042B2
公开(公告)日：2019-04-16
申请号：US15593854
申请日：2017-05-12
申请人： Ancestry.com Operations Inc.
发明人： Geoffrey Scott Slinker , Eugene Greenwood , Ian Stiles , Rey Furner
IPC分类号： G06F17/30
摘要： A data record management system develops person match scores for data records that may relate to the same person or subject. In a genealogical system where the data records are represented as nodes in a family tree, and where multiple data records may relate the same person in question, the data record management system evaluates not only two data records to determine if they relate to the same person, but also individually evaluate various data records pertaining to people that are related to the person in question. Person match scores are calculated by combining sub-scores based on the comparison of corresponding nodes. Sub-scores for nodes pertaining to related people may be adjusted higher even if those notes do not match, to reflect circumstances such as remarriage.

32. 发明申请

US20180181843A1 CLUSTERING HISTORICAL IMAGES USING A CONVOLUTIONAL NEURAL NET AND LABELED DATA BOOTSTRAPPING 审中-公开
公开(公告)号：US20180181843A1
公开(公告)日：2018-06-28
申请号：US15393008
申请日：2016-12-28
申请人： Ancestry.com Operations Inc.
发明人： Laryn Brown , Michael Murdock , Jack Reese , Shawn Reid
IPC分类号： G06K9/62 , G06K9/46
CPC分类号： G06K9/6254
摘要： Systems and methods for classifying historical images. A feature extractor may create feature vectors corresponding to a plurality of images. A first classification of the plurality of images may be performed based on the plurality of feature vectors, which may include assigning a label to each of the plurality of images and assigning a probability for each of the assigned labels. The assigned probability for each of the assigned labels may be related to a statistical confidence that a particular assigned label is correctly assigned to a particular image. A subset of the plurality of images may be displayed to a display device. An input corresponding to replacement of an incorrect label with a corrected label for a certain image may be received from a user. A second classification of the plurality of images based on the input from the user may be performed.

33. 发明申请

US20170293861A1 MACHINE-LEARNING SYSTEM AND METHOD FOR IDENTIFYING SAME PERSON IN GENEALOGICAL DATABASES 审中-公开
公开(公告)号：US20170293861A1
公开(公告)日：2017-10-12
申请号：US15479291
申请日：2017-04-05
申请人： Ancestry.com Operations Inc.
发明人： Atanu Roy , Jianlong Qi , Peng Jiang , Aaron Ling , Rey Furner , Lei Wu , Eugene Greenwood , Ian Stiles
IPC分类号： G06N99/00 , G06F17/16 , G06F17/11
CPC分类号： G06N5/025 , G06F16/00
摘要： Systems and methods for determining whether two tree persons in a genealogical database correspond to the same real-life individual. Embodiments include identifying two tree persons in a genealogical database and extracting a plurality of features from both tree persons to generate two vectors. Embodiments also include calculating a plurality of metrics between the two vectors to generate a metric function. Embodiments further include generating feature weights using a recursive process based on training data input by external users, and generating a score by calculating a weighted sum of the metric function being weighted by the feature weights. The generated score may then be compared to a threshold value.

34. 发明申请

US20170193323A1 SYSTEM AND METHOD FOR TRANSCRIBING HANDWRITTEN RECORDS USING WORD GROUPING WITH ASSIGNED CENTROIDS 有权
公开(公告)号：US20170193323A1
公开(公告)日：2017-07-06
申请号：US15451781
申请日：2017-03-07
申请人： Ancestry.com Operations Inc.
发明人： Jack Reese , Michael Murdock , Shawn Reid , Laryn Brown
IPC分类号： G06K9/34 , G06K9/62 , G06K9/00 , G06K9/52 , G06K9/03 , G06T7/70
CPC分类号： G06K9/344 , G06K9/00456 , G06K9/00463 , G06K9/00852 , G06K9/00859 , G06K9/03 , G06K9/18 , G06K9/52 , G06K9/6201 , G06K9/6215 , G06K9/6218 , G06K2209/01 , G06T7/70 , G06T2207/30176
摘要： A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.

35. 发明授权

US09400942B2 System and method for estimating/determining the date of a photo 有权
公开(公告)号：US09400942B2
公开(公告)日：2016-07-26
申请号：US14988135
申请日：2016-01-05
申请人： Ancestry.com Operations Inc.
发明人： Christopher Brookhart , Jack Reese
IPC分类号： G06K9/62 , G06F17/30
CPC分类号： G06K9/6202 , G06F17/30056 , G06F17/30247 , G06F17/30268 , G06F17/3028 , G06K9/00 , G06K9/6215 , G06K9/6255 , G06K9/627
摘要： Undated photos are organized by estimating the date of each photo. The date is estimated by building a model based on a set of reference photos having established dates, and comparing image characteristics of the undated photo to the image characteristics of the reference photos. The photo characteristics can include hues, saturation, intensity, contrast, sharpness and graininess as represented by image pixel data. Once the date of a photo is estimated, it can be tagged with identifying information, such as by using the estimated date to associate the photo with a node in a family tree.

36. 发明申请

US20160063355A1 SYSTEM AND METHOD FOR TRANSCRIBING HANDWRITTEN RECORDS USING WORD GROUPING WITH ASSIGNED CENTROIDS 有权
标题翻译：使用分配中心的WORD分组来转换手写记录的系统和方法
公开(公告)号：US20160063355A1
公开(公告)日：2016-03-03
申请号：US14841542
申请日：2015-08-31
申请人： Ancestry.com Operations Inc.
发明人： Jack Reese , Michael Murdock , Shawn Reid , Laryn Brown
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/344 , G06K9/00456 , G06K9/00463 , G06K9/00852 , G06K9/00859 , G06K9/03 , G06K9/18 , G06K9/52 , G06K9/6201 , G06K9/6215 , G06K9/6218 , G06K2209/01 , G06T7/70 , G06T2207/30176
摘要： A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.
摘要翻译：手写识别系统将诸如历史记录的文档图像的文档上的文字图像转换为计算机可搜索的文本。位于文档上的Word图像（片段），并标识了多个单词特征。对于每个单词图像，创建一个表示多个单词特征的单词特征向量。基于词特征的相似性（例如，特征向量之间的距离），类似的词被分组在一起成簇，并且选择具有群体中最具代表性的特征的质心。基于对集群中的质心的检查，为每个集群选择数字化文本字，并将其分配给该集群中的所有单词，并将其用作在文档中显示的单词图像的计算机可搜索文本。分析人员可以查看群集以允许改进用于在群集中分组单词的参数，包括用于确定特征向量之间的距离的权重和其他因子的调整。

37. 发明申请

US20160063354A1 SYSTEM AND METHOD FOR TRANSCRIBING HANDWRITTEN RECORDS USING WORD GROUPINGS BASED ON FEATURE VECTORS 有权
标题翻译：使用基于特征向量的字组分集手写记录的系统和方法
公开(公告)号：US20160063354A1
公开(公告)日：2016-03-03
申请号：US14841519
申请日：2015-08-31
申请人： Ancestry.com Operations Inc.
发明人： Jack Reese , Michael Murdock , Shawn Reid , Laryn Brown
IPC分类号： G06K9/62 , G06K9/00 , G06K9/52 , G06K9/18
CPC分类号： G06K9/344 , G06K9/00456 , G06K9/00463 , G06K9/00852 , G06K9/00859 , G06K9/03 , G06K9/18 , G06K9/52 , G06K9/6201 , G06K9/6215 , G06K9/6218 , G06K2209/01 , G06T7/70 , G06T2207/30176
摘要： A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.
摘要翻译：手写识别系统将诸如历史记录的文档图像的文档上的文字图像转换为计算机可搜索的文本。位于文档上的Word图像（片段），并标识了多个单词特征。对于每个单词图像，创建一个表示多个单词特征的单词特征向量。基于词特征的相似性（例如，特征向量之间的距离），类似的词被分组在一起成簇，并且选择具有群体中最具代表性的特征的质心。基于对集群中的质心的检查，为每个集群选择数字化文本字，并将其分配给该集群中的所有单词，并将其用作在文档中显示的单词图像的计算机可搜索文本。分析人员可以查看群集以允许改进用于在群集中分组单词的参数，包括用于确定特征向量之间的距离的权重和其他因子的调整。

38. 发明申请

US20160063321A1 SYSTEM AND METHOD FOR TRANSCRIBING HISTORICAL RECORDS INTO DIGITIZED TEXT 有权
标题翻译：将历史记录转换为数字文本的系统和方法
公开(公告)号：US20160063321A1
公开(公告)日：2016-03-03
申请号：US14841502
申请日：2015-08-31
申请人： Ancestry.com Operations Inc.
发明人： Jack Reese , Michael Murdock , Shawn Reid , Laryn Brown
IPC分类号： G06K9/00
CPC分类号： G06K9/344 , G06K9/00456 , G06K9/00463 , G06K9/00852 , G06K9/00859 , G06K9/03 , G06K9/18 , G06K9/52 , G06K9/6201 , G06K9/6215 , G06K9/6218 , G06K2209/01 , G06T7/70 , G06T2207/30176
摘要： A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.
摘要翻译：手写识别系统将诸如历史记录的文档图像的文档上的文字图像转换为计算机可搜索的文本。位于文档上的Word图像（片段），并标识了多个单词特征。对于每个单词图像，创建一个表示多个单词特征的单词特征向量。基于词特征的相似性（例如，特征向量之间的距离），类似的词被分组在一起成簇，并且选择具有群体中最具代表性的特征的质心。基于对集群中的质心的检查，为每个集群选择数字化文本字，并将其分配给该集群中的所有单词，并将其用作在文档中显示的单词图像的计算机可搜索文本。分析人员可以查看群集以允许改进用于在群集中分组单词的参数，包括用于确定特征向量之间的距离的权重和其他因子的调整。

39. 发明申请

US20130219327A1 VISUALIZING, CREATING AND EDITING BLENDING MODES METHODS AND SYSTEMS 有权
标题翻译：可视化，创建和编辑混合模式的方法和系统
公开(公告)号：US20130219327A1
公开(公告)日：2013-08-22
申请号：US13733045
申请日：2013-01-02
申请人： Ancestry.com Operations Inc.
发明人： Donald B. Curtis
IPC分类号： G09G5/02 , G06F3/0484
CPC分类号： G09G5/026 , G06F3/048 , G06F3/0481 , G06F3/04817 , G06F3/0484 , G06F3/04847 , G06T5/001 , G06T5/003 , G06T5/005 , G06T11/00 , G06T11/001 , G06T11/20 , G06T11/203 , G06T11/206 , G06T15/503 , G09G5/02 , G09G5/06 , H04N1/62
摘要： A method of creating a blending mode for blending base colors and blend colors to produce resultant colors for one or more pixels of a digital image includes displaying by a display device a relationship between a first independent variable representing the base colors and a dependent variable representing the resultant colors for a specific value of a second independent variable representing blend colors. The method also includes receiving user input altering the relationship, displaying the altered relationship, and storing the relationship as a blending mode.
摘要翻译：一种创建用于混合基色和混合颜色以产生数字图像的一个或多个像素的合成颜色的混合模式的方法包括由显示装置显示表示基色的第一独立变量与表示基色的因变量之间的关系用于表示混合颜色的第二独立变量的特定值的合成颜色。该方法还包括接收改变关系的用户输入，显示改变的关系，以及将关系存储为混合模式。

40. 发明公开

US20240370463A1 ENTITY RESOLUTION IN GENEALOGICAL DATABASES 审中-公开
公开(公告)号：US20240370463A1
公开(公告)日：2024-11-07
申请号：US18652044
申请日：2024-05-01
申请人： Ancestry.com Operations Inc.
发明人： Ian Stiles , Eugene David Greenwood , Donald Bernard Curtis , Rey Robert Furner
IPC分类号： G06F16/28
CPC分类号： G06F16/285
摘要： Systems, methods, and computer-program products for entity resolution are disclosed. Entity resolution embodiments include receiving tree data from each of a pair of entities, extracting and/or aggregating feature vectors or metric functions therefrom, and generating similarity scores between the pair of entities. The similarity scores may be weighted using machine-learned weights. The weighted similarity scores are used to generate a combinatorial probability score accounting for combined likelihoods of field values between the pair of entities. A classification of the pair of entities is performed based on the combinatorial probability score, with a genealogical database modified based on the classification.

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