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公开(公告)号：US20130182006A1
公开(公告)日：2013-07-18
申请号：US13351141
申请日：2012-01-16
IPC分类号： G09G5/00
CPC分类号： G06Q10/10 , G06F19/00 , G06F19/321 , G06F21/6254 , G06Q50/22
摘要： A visual media de-identification system is described. The system includes an image merger and a de-identifying engine. The image merger is configured to merge a sequence of images from a set of visual media data into an averaged image. The de-identifying engine is configured to: bound portions of the averaged image that are determined to be relatively fixed, wherein each bounded portion is identified by a corresponding position in the averaged image; generate a template comprising the bounded portions and the corresponding position for each bounded portion in the averaged image; and de-identify the sequence of images by obfuscating content in the bounded portions.
摘要翻译： 描述了视觉媒体去识别系统。 该系统包括图像合并和去识别引擎。 图像合并被配置为将来自一组可视媒体数据的图像序列合并成平均图像。 去识别引擎被配置为：被确定为相对固定的平均图像的结合部分，其中每个有界部分由平均图像中的对应位置标识; 生成包含有界部分的模板和平均图像中每个有界部分的对应位置; 并通过在有界部分中混淆内容来去除识别图像序列。
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公开(公告)号：US20130182007A1
公开(公告)日：2013-07-18
申请号：US13597085
申请日：2012-08-28
IPC分类号： G09G5/00
CPC分类号： G06Q10/10 , G06F19/00 , G06F19/321 , G06F21/6254 , G06Q50/22
摘要： A method for de-identification of visual media data, including: merging a sequence of images from a set of visual media data into an averaged image; bounding portions of the averaged image that are determined to be relatively fixed, wherein each bounded portion is identified by a corresponding position in the averaged image; generating a template comprising the bounded portions and the corresponding position for each bounded portion in the averaged image; and de-identifying the sequence of images by obfuscating content in the bounded portions.
摘要翻译： 一种用于取消识别视觉媒体数据的方法，包括：将来自一组可视媒体数据的图像序列合并成平均图像; 被确定为相对固定的平均图像的边界部分，其中每个有界部分由平均图像中的相应位置识别; 生成包含有界部分的模板和平均图像中每个有界部分的对应位置; 以及通过在有界部分中混淆内容来去除图像序列。
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公开(公告)号：US09147179B2
公开(公告)日：2015-09-29
申请号：US13597085
申请日：2012-08-28
CPC分类号： G06Q10/10 , G06F19/00 , G06F19/321 , G06F21/6254 , G06Q50/22
摘要： A method for de-identification of visual media data, including: merging a sequence of images from a set of visual media data into an averaged image; bounding portions of the averaged image that are determined to be relatively fixed, wherein each bounded portion is identified by a corresponding position in the averaged image; generating a template comprising the bounded portions and the corresponding position for each bounded portion in the averaged image; and de-identifying the sequence of images by obfuscating content in the bounded portions.
摘要翻译： 一种用于取消识别视觉媒体数据的方法，包括：将来自一组可视媒体数据的图像序列合并成平均图像; 被确定为相对固定的平均图像的边界部分，其中每个有界部分由平均图像中的相应位置识别; 生成包含有界部分的模板和平均图像中每个有界部分的对应位置; 以及通过在有界部分中混淆内容来去除图像序列。
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公开(公告)号：US09147178B2
公开(公告)日：2015-09-29
申请号：US13351141
申请日：2012-01-16
CPC分类号： G06Q10/10 , G06F19/00 , G06F19/321 , G06F21/6254 , G06Q50/22
摘要： A visual media de-identification system is described. The system includes an image merger and a de-identifying engine. The image merger is configured to merge a sequence of images from a set of visual media data into an averaged image. The de-identifying engine is configured to: bound portions of the averaged image that are determined to be relatively fixed, wherein each bounded portion is identified by a corresponding position in the averaged image; generate a template comprising the bounded portions and the corresponding position for each bounded portion in the averaged image; and de-identify the sequence of images by obfuscating content in the bounded portions.
摘要翻译： 描述了视觉媒体去识别系统。 该系统包括图像合并和去识别引擎。 图像合并被配置为将来自一组可视媒体数据的图像序列合并成平均图像。 去识别引擎被配置为：被确定为相对固定的平均图像的结合部分，其中每个有界部分由平均图像中的相应位置标识; 生成包含有界部分的模板和平均图像中每个有界部分的对应位置; 并通过在有界部分中混淆内容来去除识别图像序列。
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5.发明授权Echocardiogram view classification using edge filtered scale-invariant motion features 有权超声心动图视图分类使用边缘滤波的不变量运动特征公开(公告)号：US08744152B2
公开(公告)日：2014-06-03
申请号：US13560496
申请日：2012-07-27
CPC分类号： G06T7/0012 , G06T3/4053 , G06T7/44 , G06T2207/10016 , G06T2207/10132 , G06T2207/20081 , G06T2207/30048
摘要： According to one embodiment of the present invention, a method for echocardiogram view classification is provided. According to one embodiment of the present invention, a method comprises: obtaining a plurality of video images of a subject; aligning the plurality images; using the aligned images to generate a motion magnitude image; filtering the motion magnitude image using an edge map on image intensity; detecting features on the motion magnitude image, retaining only those features which lie in the neighborhood of intensity edges; encoding the remaining features by generating, x, y image coordinates, a motion magnitude histogram in a window around the feature point, and a histogram of intensity values near the feature point; and using the encoded features to classify the video images of the subject into a predetermined classification.
摘要翻译： 根据本发明的一个实施例，提供了一种用于超声心动图视图分类的方法。 根据本发明的一个实施例，一种方法包括：获得被摄体的多个视频图像; 对准多个图像; 使用对准的图像来生成运动幅度图像; 使用边缘图对图像强度进行滤波运动幅度图像; 检测运动幅度图像上的特征，仅保留位于强度边缘附近的那些特征; 通过生成x，y图像坐标，围绕特征点的窗口中的运动幅度直方图和特征点附近的强度值的直方图对剩余特征进行编码; 以及使用编码的特征将被摄体的视频图像分类成预定的分类。
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6.发明申请SYSTEM AND METHOD FOR INFERRING DISEASE SIMILARITY BY SHAPE MATCHING OF ECG TIME SERIES 有权通过心电图时间序列的形状匹配感染疾病相似性的系统和方法公开(公告)号：US20100081953A1
公开(公告)日：2010-04-01
申请号：US12106514
申请日：2008-04-21
申请人： Tanveer F. Syeda-Mahmood , Fei Wang
发明人： Tanveer F. Syeda-Mahmood , Fei Wang
IPC分类号： A61B5/0428 , A61B5/0432
CPC分类号： A61B5/04525 , G06K9/0055 , Y10S128/923
摘要： A method for inferring disease similarity by similarity retrieval of electrocardiogram time-series, comprising: acquiring user ECG waveforms correspondingly depicting many cardiac cycles of the heart of many users stored in a database; pre-processing each of the user ECG waveforms through pre-processing steps to isolate sets of single cardiac cycles corresponding to different heart-rates detected for each of the user ECG waveforms, each single cardiac cycle within the many cardiac cycles of the heart of many users corresponds to one single heart-rate detected. acquiring patient ECG waveforms depicting multiple cardiac cycles of the heart of a query patient; pre-processing the patient ECG waveforms through pre-processing steps to isolate sets of single cardiac cycles corresponding to different heart-rates detected for each of the patient ECG waveforms of the query patient, each single cardiac cycle within the multiple cardiac cycles of the heart of the query patient corresponds to one single heart-rate detected.
摘要翻译： 一种用于通过心电图时间序列的相似性检索推断疾病相似性的方法，包括：相应地描绘存储在数据库中的许多用户心脏的许多心动周期的用户ECG波形; 通过预处理步骤预处理每个用户ECG波形，以隔离对应于针对每个用户ECG波形检测到的不同心率的单个心动周期的组，每个心脏波形的心脏的许多心动周期中的每个心动周期 用户对应于检测到的单个心率。 获取描绘查询患者心脏的多个心脏周期的患者ECG波形; 通过预处理步骤预处理患者ECG波形，以隔离对应于针对查询患者的每个患者ECG波形检测到的不同心率的单个心脏周期的组，心脏的多个心动周期内的每个心动周期 的查询患者对应于检测到的单个心率。
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7.发明授权
公开(公告)号：US6108444A
公开(公告)日：2000-08-22
申请号：US939894
申请日：1997-09-29
CPC分类号： G06K9/348 , G06K9/00859 , G06K2209/01
摘要： A method and system of recognizing handwritten words in scanned documents, wherein by processing a document containing handwriting, features for word localization are extracted from handwritten words contained in said document through basis points taken from a single curve of text lines. The method is independent of page orientation, and does not assume that the individual lines of handwritten text are parallel, and the method does not require that word regions be aligned with text line orientation wherein intra-word statistics are derived from sample pages rather than using a fixed threshold. The method has applications in digital libraries, handwriting tokenization, document management and OCR systems.
摘要翻译： 一种识别扫描文档中的手写字的方法和系统，其中通过处理包含笔迹的文档，通过从文本行的单个曲线获取的基点，从包含在所述文档中的手写词提取词定位的特征。 该方法独立于页面方向，并且不假定手写文本的各行是并行的，并且该方法不要求字区域与文本行取向对齐，其中字内统计是从样本页导出而不是使用 一个固定的门槛。 该方法在数字图书馆，手写令牌化，文件管理和OCR系统中都有应用。
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公开(公告)号：US5978620A
公开(公告)日：1999-11-02
申请号：US004637
申请日：1998-01-08
CPC分类号： H04N1/00803 , H04N1/00795
摘要： A method for recognizing job separator pages that tolerates more changes in imaging conditions involving pixel resolution, noise, pose changes (rotation, translation and shear) and a system which can be trained on-site to learn any new separator page. The invention is suitable for use in any scanning assembly systems such as flatbed scanners, feed through document handlers, single page feed scanners, as well wraparound document handlers, and is insensitive to leading and trailing edge-base skew detection problems. A job sheet is visually recognized. Detection of alignment markers is invariant to skew of the most general form and includes all rotations and stretches that occur on a page due to page folding.
摘要翻译： 用于识别作业分离器页面的方法，该页面允许涉及像素分辨率，噪声，姿态变化（旋转，平移和剪切）的成像条件的更多变化以及可以在现场进行现场训练以学习任何新的分隔页的系统。 本发明适用于任何扫描组装系统，例如平板扫描仪，通过文件处理机进给，单页进纸扫描器以及环绕文档处理程序，并且对前沿和后沿基准偏移检测问题不敏感。 工作表被视觉识别。 对齐标记的检测对于最通用形式的偏斜是不变的，并且包括由于页面折叠而在页面上发生的所有旋转和拉伸。
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公开(公告)号：US07836356B2
公开(公告)日：2010-11-16
申请号：US12110851
申请日：2008-04-28
IPC分类号： G06F11/00
CPC分类号： G06F11/008
摘要： A method for monitoring dependent metric streams for anomalies including identifying a plurality of sets of dependent metric streams from a plurality of metric streams of a computer system by measuring an association of the plurality of metric streams using a statistical dependency measure analysis, wherein each set includes a plurality of the dependent metric streams and each metric stream includes a plurality of data, determining a subset of the plurality of sets of dependent metric streams to monitor by selecting a quantity of the sets of dependent metric streams that have a highest statistical dependency, cleaning the data of each set of dependent metric streams of the subset by identifying and removing outlier data, fitting a probability density function to the cleaned data of each set of dependent metric streams of the subset, wherein the probability density function is a likelihood function that provides a likelihood of an occurrence of the cleaned data, determining a detection threshold that is a lower threshold on the likelihood of the occurrence of the cleaned data of each set of dependent metric streams of the subset based on the likelihood function, detecting an anomaly if a likelihood of an occurrence of a new data of one of the sets of dependent metric streams of the subset is less than the detection threshold, and transmitting an alert signal in response to detecting the anomaly.
摘要翻译： 一种用于监视异常的相关度量流的方法，包括通过使用统计依赖度量度分析来测量多个度量流的关联来从计算机系统的多个度量流中识别多个独立度量流集合，其中每个集合包括 多个依赖度量流和每个度量流包括多个数据，通过选择具有最高统计依赖性的依赖度量流集合的数量来确定多个依赖度量流集合的子集以进行监视 通过识别和去除异常值数据，将概率密度函数拟合到子集的每组非依赖度量流的清除数据，其中概率密度函数是提供 清除数据的发生的可能性，确定检测 阈值，其是基于似然函数发生子集的每组非依赖度量流的清除数据的可能性的较低阈值，如果发生了一组中的一个的新数据的可能性，则检测异常 所述子集的依赖度量流小于所述检测阈值，并且响应于检测到所述异常而发送警报信号。
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10.发明授权公开(公告)号：US06321232B1
公开(公告)日：2001-11-20
申请号：US09389111
申请日：1999-09-02
IPC分类号： G06F1730
CPC分类号： G06K9/00469 , G06F17/30259 , Y10S707/99942 , Y10S707/99943 , Y10S707/99944 , Y10S707/99945 , Y10S707/99948
摘要： There is provided a method for creating a geometric hash tree in a document processing system having a memory. A plurality of images are stored in the memory and organized in a database. Each image includes curve groups wherein each curve group is corresponded with a feature set. The method for creating a geometric hash tree includes the steps of: (1) associating a list of basis triples with an affine coordinate set, the basis triples and the affine coordinate set both varying as a function of the images and their corresponding curve groups; (2) storing both the affine coordinate set and the list of basis triples in the memory; (3) quantizing the affine coordinate set into a plurality of subsets; (4) assigning an order to the plurality of subsets; and (5) creating a geometric hash tree with the quantized affine coordinate set using the order from (4) such that the geometric hash tree is more compact in size than a conventional geometric hash table.
摘要翻译： 提供了一种在具有存储器的文档处理系统中创建几何散列树的方法。 多个图像被存储在存储器中并被组织在数据库中。 每个图像包括曲线组，其中每个曲线组与特征集对应。 用于创建几何散列树的方法包括以下步骤：（1）将基础三元组的列表与仿射坐标集相关联，基础三元组和仿射坐标集都作为图像的函数及其对应的曲线组而变化; （2）将存储器中的仿射坐标集和基础三重列表存储在存储器中; （3）量化设定为多个子集的仿射坐标; （4）向多个子集分配订单; （5）使用从（4）的顺序创建具有量化仿射坐标集的几何散列树，使得几何散列树的尺寸比常规几何散列表更紧凑。
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