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公开(公告)号：US20170270600A1
公开(公告)日：2017-09-21
申请号：US15615014
申请日：2017-06-06
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Bernadette R. Duponchel , Myron Flickner , Victoria B. Platt , John R. Smith
CPC classification number: G06Q30/0643 , G06Q30/0255 , G06Q30/0269 , G06Q30/0277 , G06Q30/0282 , G06Q50/01 , G06T11/001 , H04L67/306
Abstract: A personalization enhancement method and system. The method includes retrieving and analyzing digital content associated with a user. Characteristics describing the digital content are tagged and transferred to a profile of said the user. The profile includes additional characteristics generated during previous analysis of data from the digital content and additional digital content associated with the user. User information associated with products, a location, and a time profile is assigned. The profile is analyzed based on selection and interaction of the user with respect to a consumer Website. The profile includes the characteristics and the additional characteristics with respect to products and services of the consumer Website. A presentation color setting and a group of products and services of are determined for presentation to the user. The group of products and services are presented to the user using the presentation color setting.
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32.发明申请公开(公告)号：US20170132250A1
公开(公告)日：2017-05-11
申请号：US14933842
申请日：2015-11-05
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Michele Merler , Jae-Eun Park , John R. Smith , Rosario Uceda-Sosa
CPC classification number: G06N99/005
Abstract: A method and system are provided. The method includes deriving a set of user attributes from an aggregate analysis of images and videos of a user. The deriving step includes recognizing, by a set of visual classifiers, semantic concepts in the images and videos of the user to generate visual classifier scores. The deriving step further includes deriving, by a statistical aggregator, the set of user attributes. The set of user attributes are derived by mapping the visual classifier scores to a taxonomy of semantic categories to be recognized in visual content. The deriving step also includes displaying, by an interactive user interface having a display, attribute profiles for the attributes and comparisons of the attribute profiles.
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33.发明申请公开(公告)号：US20170064332A1
公开(公告)日：2017-03-02
申请号：US14840140
申请日：2015-08-31
Applicant: International Business Machines Corporation
Inventor： Chung-Ching LIN , Sharathchandra U. Pankanti , John R. Smith
CPC classification number: H04N19/60 , G06K9/6211 , G06T9/004 , H04N5/23238 , H04N5/265 , H04N19/85
Abstract: A compression system for compressing a video received from an imaging device, the compression system including a transformation estimation device configured to estimate, based on pixel transformations between a first frame and a second frame of the video, a transformation matrix, an encoding device configured to encode the second frame as an increment with the first frame based on the transformation matrix generated by the transformation device, a compression device configured to compress the increments into compressed data, and a reconstruction device configured to reconstruct the first frame and the second frame using the transformation matrix generated by the transformation estimation device
Abstract translation: 一种用于压缩从成像装置接收的视频的压缩系统，所述压缩系统包括被配置为基于所述视频的第一帧和第二帧之间的像素变换来估计变换估计装置的变换矩阵，所述编码装置被配置为 基于由变换装置生成的变换矩阵，将第二帧编码为具有第一帧的增量，被配置为将增量压缩为压缩数据的压缩装置，以及被配置为使用第二帧重构第一帧和第二帧的重建装置 由变换估计装置生成的变换矩阵
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34.发明申请公开(公告)号：US20160358355A1
公开(公告)日：2016-12-08
申请号：US14732345
申请日：2015-06-05
Applicant: International Business Machines Corporation
Inventor： Chung-Ching Lin , Sharathchandra U. Pankanti , Karthikeyan Natesan Ramamurthy , Aleksandr Y. Aravkin , John R. Smith
CPC classification number: G06T11/60 , G06K9/0063 , G06K9/4609 , G06K9/4638 , G06K9/4671 , G06K9/6211 , G06K2009/2045 , G06K2009/6213 , G06T3/4038 , G06T5/006 , G06T7/33 , G06T2207/10032 , G06T2207/20104 , G06T2207/20221
Abstract: A method and a system of stitching a plurality of views of a scene, the method including extracting points of interest in each view to include a point set from each of the plurality of image views of the scene, matching the points of interest and reducing an outlier, grouping the matched points of interest in a plurality of groups, determining a similarity transformation with a smallest rotation angle for each grouping of the match points, generating virtual matching points on a non-overlapping area of the plurality of image views, generating virtual matching points on an overlapping area for each of the plurality of image views, and calculating piecewise projective transformations for the plurality of image views.
Abstract translation: 一种缝合场景的多个视图的方法和系统，所述方法包括提取每个视图中的兴趣点以包括来自所述场景的所述多个图像视图中的每一个的点集合，以匹配所述兴趣点并减少 异常值，将匹配的兴趣点分组在多个组中，为每个匹配点的分组确定具有最小旋转角度的相似度变换，在多个图像视图的非重叠区域上生成虚拟匹配点，生成虚拟 对于多个图像视图中的每一个，在重叠区域上匹配点，以及对多个图像视图计算分段投影变换。
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35.发明授权公开(公告)号：US09471851B1
公开(公告)日：2016-10-18
申请号：US14754012
申请日：2015-06-29
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Liangliang Cao , Michele Merler , John R. Smith
CPC classification number: G06K9/628 , G06F17/2785 , G06K9/00288 , G06K9/00302 , G06K9/00362 , G06K9/00677 , G06K9/325 , G06K9/6293 , G06N5/04 , G06N7/005
Abstract: A method and systems are provided. The method includes recognizing semantic concepts in a set of images and assigning semantic scores for the images to predict a gender of a user. The method further includes performing gender prediction from visual content and textual content in the images to respectively generate visual-based gender predictions and textual-based gender predictions. The method also includes combining, using multimodal information fusion, the visual-based gender predictions, the textual-based gender predictions, and the semantic scores, to infer a gender of a user.
Abstract translation: 提供了一种方法和系统。 该方法包括识别一组图像中的语义概念，并为图像分配语义分数以预测用户的性别。 该方法还包括从图像中的视觉内容和文本内容执行性别预测，以分别产生基于视觉的性别预测和基于文本的性别预测。 该方法还包括结合使用多模态信息融合，基于视觉的性别预测，基于文本的性别预测和语义分数来推断用户的性别。
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Patent Agency Ranking
公开(公告)号：US09311703B2
公开(公告)日：2016-04-12
申请号：US14266661
申请日：2014-04-30
Applicant: International Business Machines Corporation
Inventor： Noel C. Codella , Jonathan H. Connell, II , John R. Smith , Nalini K. Ratha
CPC classification number: G06T7/0012 , G06K9/46 , G06K9/468 , G06K2009/4666 , G06T7/12 , G06T7/168 , G06T2207/10072 , G06T2207/20061 , G06T2207/30048
Abstract: A method, system and computer program for categorizing heart diseases is presented. An example method includes receiving a series of cardiac images of a heart, the cardiac images including a myocardium, and interior fibrous muscles of the heart. Cardiac images are segmented, into a myocardium segmentation showing an anatomical shape and a motion of the myocardium, and an interior fibrous muscles segmentation showing an anatomical shape and a motion of the interior fibrous muscles. The myocardium segmentation is converted into a regional characterization of the anatomical shape and motion of the myocardium. The interior fibrous muscles segmentation is converted to a regional characterization of the anatomical shape and motion of the interior fibrous muscles. Heart conditions are characterized based on the regional characterizations of the anatomical shape and the motion of the myocardium and the interior fibrous muscles.
Abstract translation: 提出了一种分类心脏病的方法，系统和计算机程序。 示例性方法包括接收心脏的一系列心脏图像，心脏图像包括心肌和心脏的内部纤维肌肉。 将心脏图像分割成心肌分割，显示心肌的解剖形状和运动，以及显示内部纤维肌肉的解剖形状和运动的内部纤维肌肉分割。 将心肌分割转化为心肌的解剖形状和运动的区域表征。 内部纤维肌肉分割被转化为内部纤维肌肉的解剖形状和运动的区域表征。 基于解剖形状和心肌和内部纤维肌的运动的区域特征来描述心脏状况。
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公开(公告)号：US09299145B2
公开(公告)日：2016-03-29
申请号：US14012112
申请日：2013-08-28
Applicant: International Business Machines Corporation
Inventor： Noel C. Codella , John R. Smith
CPC classification number: G06T7/0014 , G06K9/621 , G06K2209/05 , G06T7/12 , G06T7/143 , G06T7/149 , G06T2207/30004
Abstract: Systems and articles of manufacture for image segmentation are provided herein, and include creating an anatomical model from training data comprising one or more imaging modalities, generating one or more simulated images in a target modality based on the anatomical model and one or more principles of physics pertaining to image contrast generation, and comparing the one or more simulated images to an unlabeled input image of a given imaging modality to determine a simulated image of the one or more simulated images to represent the unlabeled input image.
Abstract translation: 本文提供了用于图像分割的系统和制品，并且包括从包括一个或多个成像模态的训练数据创建解剖模型，基于解剖模型和物理学的一个或多个原理在目标模态中生成一个或多个模拟图像 涉及图像对比度生成，以及将一个或多个模拟图像与给定成像模态的未标记输入图像进行比较，以确定一个或多个模拟图像的模拟图像以表示未标记的输入图像。
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公开(公告)号：US20150332469A1
公开(公告)日：2015-11-19
申请号：US14277321
申请日：2014-05-14
Applicant: International Business Machines Corporation
Inventor： Noel C. Codella , Gang Hua , John R. Smith
CPC classification number: G06T7/11 , G06K9/3241 , G06K9/46 , G06K9/4604 , G06K9/4652 , G06K9/468 , G06K9/6215 , G06K9/6218 , G06K2009/4666 , G06K2009/6213 , G06T7/187 , G06T7/90 , G06T2207/10016
Abstract: Methods, systems, and computer program products for static image segmentation are provided herein. A method includes segmenting a static image containing a target object into multiple regions based on one or more visual features of the static image; analyzing video content containing the target object to determine a similarity metric across the multiple segmented regions based on motion information associated with each of the multiple segmented regions; and applying the similarity metric to the static image to identify two or more of the multiple segmented regions as being portions of the target object.
Abstract translation: 本文提供了静态图像分割的方法，系统和计算机程序产品。 一种方法包括基于静态图像的一个或多个视觉特征将包含目标对象的静态图像分割成多个区域; 分析包含所述目标对象的视频内容，以基于与所述多个分段区域中的每一个相关联的运动信息来确定所述多个分段区域上的相似性度量; 以及将所述相似性度量应用于所述静态图像，以将所述多个分段区域中的两个或更多个标识为所述目标对象的部分。
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公开(公告)号：US20150317789A1
公开(公告)日：2015-11-05
申请号：US14266661
申请日：2014-04-30
Applicant: International Business Machines Corporation
Inventor： Noel C. Codella , Jonathan H. Connell, II , John R. Smith , Nalini K. Ratha
CPC classification number: G06T7/0012 , G06K9/46 , G06K9/468 , G06K2009/4666 , G06T7/12 , G06T7/168 , G06T2207/10072 , G06T2207/20061 , G06T2207/30048
Abstract: A method, system and computer program for categorizing heart diseases is presented. An example method includes receiving a series of cardiac images of a heart, the cardiac images including a myocardium, and interior fibrous muscles of the heart. Cardiac images are segmented, into a myocardium segmentation showing an anatomical shape and a motion of the myocardium, and an interior fibrous muscles segmentation showing an anatomical shape and a motion of the interior fibrous muscles. The myocardium segmentation is converted into a regional characterization of the anatomical shape and motion of the myocardium. The interior fibrous muscles segmentation is converted to a regional characterization of the anatomical shape and motion of the interior fibrous muscles. Heart, conditions are characterized based on the regional characterizations of the anatomical shape and the motion of the myocardium and the interior fibrous muscles.
Abstract translation: 提出了一种分类心脏病的方法，系统和计算机程序。 示例性方法包括接收心脏的一系列心脏图像，心脏图像包括心肌和心脏的内部纤维肌肉。 将心脏图像分割成心肌分割，显示心肌的解剖形状和运动，以及显示内部纤维肌肉的解剖形状和运动的内部纤维肌肉分割。 将心肌分割转化为心肌的解剖形状和运动的区域表征。 内部纤维肌肉分割被转化为内部纤维肌肉的解剖形状和运动的区域表征。 基于解剖形状和心肌和内部纤维肌肉的运动的区域特征，心脏，病症的特征在于。
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公开(公告)号：US09002069B2
公开(公告)日：2015-04-07
申请号：US13625295
申请日：2012-09-24
Applicant: International Business Machines Corporation
Inventor： Noel C. Codella , Apostol Natsev , John R. Smith
CPC classification number: G06N5/04 , G06F17/30 , G06F17/30247 , G06F17/30265 , G06F17/30598 , G06K9/6267 , G06N7/005 , G06N99/005
Abstract: A system and article of manufacture for social media event detection and content-based retrieval include obtaining multiple images from at least one social media source, extracting at least one visual semantic concept from the multiple images, differentiating an event semantic concept signal from a background semantic concept signal to detect an event in the multiple images, and retrieving one or more images associated with the event semantic concept signal for presentation as a visual description of the detected event.
Abstract translation: 用于社交媒体事件检测和基于内容的检索的系统和制品包括从至少一个社交媒体源获得多个图像，从多个图像中提取至少一个视觉语义概念，将事件语义概念信号与背景语义区分开来 概念信号以检测所述多个图像中的事件，以及检索与所述事件语义概念信号相关联的一个或多个图像作为所述检测到的事件的视觉描述。
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