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1. 发明申请

US20090098095A1 METHOD OF EXPANDING DOUBLE NEGATIVE T CELLS 有权
标题翻译：扩展双重负性T细胞的方法
公开(公告)号：US20090098095A1
公开(公告)日：2009-04-16
申请号：US12093492
申请日：2006-11-20
申请人： Li Zhang , Mei Han , Pouneh Dokouhaki
发明人： Li Zhang , Mei Han , Pouneh Dokouhaki
IPC分类号： A61K35/12 , C12N5/06 , C12N5/08
CPC分类号： A61K35/17 , C12N5/0636 , C12N2501/23 , C12N2501/2302 , C12N2501/2304 , C12N2501/515
摘要： A method of expanding double negative T cells in culture is described. The method comprises (a) providing a starting sample comprising DN T cells or precursors thereof; (b) substantially depleting CD8+ and CD4+ T cells from the starting sample; (c) culturing the sample from step (b) with an immobilized T cell mitogen in a culture medium comprising an agent that can stimulate DN T cell growth; (d) washing the cells obtained in step (c) and resuspending in a culture medium comprising the agent without the T cell mitogen; and (e) washing the cells obtained in step (d) and resuspending in a culture medium comprising the agent and a soluble T cell mitogen. The DN T cells obtained by the method are useful in a variety of applications including the treatment of cancer, infectious diseases, graft versus host disease and autoimmune disease.
摘要翻译：描述了在培养中扩增双重负T细胞的方法。该方法包括（a）提供包含DN T细胞或其前体的起始样品; （b）从起始样品中大量消耗CD8 +和CD4 + T细胞; （c）在包含可刺激DN T细胞生长的试剂的培养基中培养来自步骤（b）的样品与固定的T细胞丝裂原; （d）洗涤步骤（c）中获得的细胞，并重新悬浮在包含不含T细胞丝裂原的试剂的培养基中; 和（e）洗涤步骤（d）中获得的细胞，并重新悬浮于包含该试剂和可溶性T细胞丝裂原的培养基中。通过该方法获得的DN T细胞可用于各种应用，包括治疗癌症，感染性疾病，移植物抗宿主病和自身免疫性疾病。

2. 发明授权

US09018004B2 Method of expanding double negative T cells 有权
标题翻译：扩大双阴性T细胞的方法
公开(公告)号：US09018004B2
公开(公告)日：2015-04-28
申请号：US12093492
申请日：2006-11-20
申请人： Li Zhang , Mei Han , Pouneh Dokouhaki
发明人： Li Zhang , Mei Han , Pouneh Dokouhaki
IPC分类号： C12N5/0783
CPC分类号： A61K35/17 , C12N5/0636 , C12N2501/23 , C12N2501/2302 , C12N2501/2304 , C12N2501/515
摘要： A method of expanding double negative T cells in culture is described. The method comprises (a) providing a starting sample comprising DN T cells or precursors thereof; (b) substantially depleting CD8+ and CD4+ T cells from the starting sample; (c) culturing the sample from step (b) with an immobilized T cell mitogen in a culture medium comprising an agent that can stimulate DN T cell growth; (d) washing the cells obtained in step (c) and resuspending in a culture medium comprising the agent without the T cell mitogen; and (e) washing the cells obtained in step (d) and resuspending in a culture medium comprising the agent and a soluble T cell mitogen. The DN T cells obtained by the method are useful in a variety of applications including the treatment of cancer, infectious diseases, graft versus host disease and autoimmune disease.
摘要翻译：描述了在培养中扩增双重负T细胞的方法。该方法包括（a）提供包含DN T细胞或其前体的起始样品; （b）从起始样品中大量消耗CD8 +和CD4 + T细胞; （c）在包含可刺激DN T细胞生长的试剂的培养基中培养来自步骤（b）的样品与固定的T细胞丝裂原; （d）洗涤步骤（c）中获得的细胞，并重新悬浮在包含不含T细胞丝裂原的试剂的培养基中; 和（e）洗涤步骤（d）中获得的细胞，并重新悬浮于包含该试剂和可溶性T细胞丝裂原的培养基中。通过该方法获得的DN T细胞可用于各种应用，包括治疗癌症，感染性疾病，移植物抗宿主病和自身免疫性疾病。

3. 发明授权

US09443314B1 Hierarchical conditional random field model for labeling and segmenting images 有权
标题翻译：用于标记和分割图像的分层条件随机场模型
公开(公告)号：US09443314B1
公开(公告)日：2016-09-13
申请号：US13434515
申请日：2012-03-29
申请人： Qixing Huang , Mei Han , Bo Wu , Sergey Ioffe
发明人： Qixing Huang , Mei Han , Bo Wu , Sergey Ioffe
IPC分类号： G06K9/62 , G06T7/00 , G06K9/00
CPC分类号： G06K9/627 , G06K9/00664 , G06K9/00684 , G06K9/6218 , G06K9/6223 , G06K9/6256 , G06K9/6272 , G06K9/628 , G06T7/11 , G06T2207/20016 , G06T2207/20072 , G06T2207/20081
摘要： An image processing system automatically segments and labels an image using a hierarchical classification model. A global classification model determines initial labels for an image based on features of the image. A label-based descriptor is generated based on the initial labels. A local classification model is then selected from a plurality of learned local classification model based on the label-based descriptor. The local classification model is applied to the features of the input image to determined refined labels. The refined labels are stored in association with the input image.
摘要翻译：图像处理系统使用层次分类模型自动分割和标记图像。全局分类模型基于图像的特征来确定图像的初始标签。基于标签的描述符是基于初始标签生成的。然后，基于基于标签的描述符从多个学习的本地分类模型中选择本地分类模型。本地分类模型应用于输入图像的特征以确定精确标签。精致的标签与输入图像相关联地存储。

4. 发明授权

US08938119B1 Facade illumination removal 有权
标题翻译：门面照明去除
公开(公告)号：US08938119B1
公开(公告)日：2015-01-20
申请号：US13461482
申请日：2012-05-01
申请人： Mei Han , Vivek Kwatra , Shengyang Dai , Sergey Ioffe
发明人： Mei Han , Vivek Kwatra , Shengyang Dai , Sergey Ioffe
IPC分类号： G06K9/00
CPC分类号： G06K9/4661 , G06T5/008
摘要： An image comprising color pixels with varying illumination is selected. Instances of a repeating pattern in the image are determined. Illumination values for illuminated pixels at locations within instances of the repeating pattern are calculated based on pixel intensities of non-illuminated pixels at corresponding locations in other instances of the repeating pattern. The illumination variation is removed from the illuminated pixels based on the calculated illumination values to produce enhanced pixels. Color from the non-illuminated pixels at the corresponding locations in other instances of the repeating pattern is propagated to the enhanced pixels.
摘要翻译：选择包括具有变化的照明的彩色像素的图像。确定图像中的重复图案的实例。基于重复图案的其他实例中的相应位置处的非照明像素的像素强度来计算在重复图案的实例内的位置处的照明像素的照明值。基于所计算的照明值，从照明像素去除照明变化以产生增强像素。来自重复图案的其他实例中的相应位置处的非照明像素的颜色被传播到增强像素。

5. 发明授权

US08712930B1 Encoding digital content based on models for predicting similarity between exemplars 有权
标题翻译：基于模型来编码数字内容，用于预测样本之间的相似性
公开(公告)号：US08712930B1
公开(公告)日：2014-04-29
申请号：US13100872
申请日：2011-05-04
申请人： Michele Covell , Mei Han , Saurabh Mathur , Shumeet Baluja , Vivek Kwatra
发明人： Michele Covell , Mei Han , Saurabh Mathur , Shumeet Baluja , Vivek Kwatra
IPC分类号： G06F15/18
CPC分类号： G06K9/6202 , G06F17/30247 , G06K9/00684 , G06K9/4604 , G06K9/6267 , G06K9/6292 , G06K9/66 , G06T1/0021 , H04N19/105 , H04N19/17 , H04N19/189
摘要： An exemplar dictionary is built from exemplars of digital content for determining predictor blocks for encoding and decoding digital content. The exemplar dictionary organizes the exemplars as clusters of similar exemplars. Each cluster is mapped to a label. Machine learning techniques are used to generate a prediction model for predicting a label for an exemplar. The exemplar dictionary is used to encode digital content. Clusters of exemplars are obtained by applying a prediction model to a target block of digital content for encoding. A predictor block is selected for encoding the target block based on frequency of occurrence of exemplars in the clusters. The target block is encoded using the predictor block.
摘要翻译：由数字内容的示例构建示范字典，用于确定用于对数字内容进行编码和解码的预测器块。示范字典将样本组织成类似样本的集群。每个集群映射到一个标签。机器学习技术用于生成用于预测样本的标签的预测模型。示范字典用于对数字内容进行编码。通过将预测模型应用于用于编码的数字内容的目标块来获得样本簇。基于群集中的样本的出现频率，选择预测块来对目标块进行编码。使用预测器块对目标块进行编码。

6. 发明授权

US07088846B2 Video surveillance system that detects predefined behaviors based on predetermined patterns of movement through zones 有权
标题翻译：视频监控系统，根据通过区域的预定运动模式检测预定行为
公开(公告)号：US07088846B2
公开(公告)日：2006-08-08
申请号：US10916870
申请日：2004-08-12
申请人： Mei Han , Yihong Gong , Hai Tao
发明人： Mei Han , Yihong Gong , Hai Tao
IPC分类号： G06K9/00
CPC分类号： G08B13/19652 , G06K9/00335 , G08B13/19604 , G08B13/19608 , G08B13/19615
摘要： A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
摘要翻译：视频监控系统使用基于规则的推理和多重假设评分来根据通过区域模式的移动来检测预定义的行为。轨迹假设产卵允许轨迹分裂和/或合并，并包括局部修剪以管理假设增长。假设基于许多标准进行评分，示例性地包括至少一个非空间参数。在假设产卵过程期间计算的连接概率基于许多标准，示例性地包括对象大小。对象检测和概率评分说明性地基于对象类。

7. 发明申请

US20050105765A1 Video surveillance system with object detection and probability scoring based on object class 有权
标题翻译：基于对象类的对象检测和概率评分的视频监控系统
公开(公告)号：US20050105765A1
公开(公告)日：2005-05-19
申请号：US10917225
申请日：2004-08-12
申请人： Mei Han , Yihong Gong , Hai Tao
发明人： Mei Han , Yihong Gong , Hai Tao
IPC分类号： G06K9/00 , G06T7/20 , G08B13/00 , G08B13/194 , G08B13/196 , H04N7/18
CPC分类号： G06T7/20 , G06K9/00295 , G06K9/00771 , G06T2207/30241 , G08B13/19602 , G08B13/19604 , G08B13/19608 , G08B13/19615 , G08B13/19652 , G08B31/00 , H04N7/188
摘要： A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
摘要翻译：视频监控系统使用基于规则的推理和多重假设评分来根据通过区域模式的移动来检测预定义的行为。轨迹假设产卵允许轨迹分裂和/或合并，并包括局部修剪以管理假设增长。假设基于许多标准进行评分，示例性地包括至少一个非空间参数。在假设产卵过程期间计算的连接概率基于许多标准，示例性地包括对象大小。对象检测和概率评分说明性地基于对象类。

8. 发明申请

US20050104961A1 Video surveillance system in which trajectory hypothesis spawning allows for trajectory splitting and/or merging 有权
标题翻译：视频监控系统，其中轨迹假设产生允许轨迹分割和/或合并
公开(公告)号：US20050104961A1
公开(公告)日：2005-05-19
申请号：US10917201
申请日：2004-08-12
申请人： Mei Han , Yihong Gong , Hai Tao
发明人： Mei Han , Yihong Gong , Hai Tao
IPC分类号： G08B13/196 , H04N7/18
CPC分类号： G08B31/00 , G08B13/19604 , G08B13/19608 , G08B13/19615 , G08B13/19652
摘要： A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
摘要翻译：视频监控系统使用基于规则的推理和多重假设评分来根据通过区域模式的移动来检测预定义的行为。轨迹假设产卵允许轨迹分裂和/或合并，并包括局部修剪以管理假设增长。假设基于许多标准进行评分，示例性地包括至少一个非空间参数。在假设产卵过程期间计算的连接概率基于许多标准，示例性地包括对象大小。对象检测和概率评分说明性地基于对象类。

9. 发明申请

US20050104727A1 Video surveillance system that detects predefined behaviors based on movement through zone patterns 有权
标题翻译：视频监控系统可以根据区域模式移动来检测预定义的行为
公开(公告)号：US20050104727A1
公开(公告)日：2005-05-19
申请号：US10916870
申请日：2004-08-12
申请人： Mei Han , Yihong Gong , Hai Tao
发明人： Mei Han , Yihong Gong , Hai Tao
IPC分类号： G06K9/00 , G08B13/196 , G08B13/00
CPC分类号： G08B13/19652 , G06K9/00335 , G08B13/19604 , G08B13/19608 , G08B13/19615
摘要： A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
摘要翻译：视频监控系统使用基于规则的推理和多重假设评分来根据通过区域模式的移动来检测预定义的行为。轨迹假设产卵允许轨迹分裂和/或合并，并包括局部修剪以管理假设增长。假设基于许多标准进行评分，示例性地包括至少一个非空间参数。在假设产卵过程期间计算的连接概率基于许多标准，示例性地包括对象大小。对象检测和概率评分说明性地基于对象类。

10. 发明申请

US20140301653A1 SUMMARIZING A PHOTO ALBUM IN A SOCIAL NETWORK SYSTEM 有权
标题翻译：在社交网络系统中总结照片
公开(公告)号：US20140301653A1
公开(公告)日：2014-10-09
申请号：US13489407
申请日：2012-06-05
申请人： Erik Murphy-Chutorian , Chuck Joseph Rosenberg , Shengyang Dai , Ehud Rivlin , Mei Han , Kyle Heath
发明人： Erik Murphy-Chutorian , Chuck Joseph Rosenberg , Shengyang Dai , Ehud Rivlin , Mei Han , Kyle Heath
IPC分类号： G06K9/62
CPC分类号： G06K9/00456 , G06K9/00221 , G06K9/00677 , G06K9/62 , G06K9/6267 , G06K2009/00328
摘要： Embodiments generally relate to summarizing a photo album in a social network system. In one embodiment, a method includes grouping photos into a plurality of groups of photos, and selecting a plurality of representative photos, where each representative photo represents a respective group from the plurality of groups, where the selecting is based on a quality score of each of the photos, and where each quality score is based on different types of attributes. The method also includes enabling the plurality of representative photos to be shared.
摘要翻译：实施例通常涉及在社交网络系统中总结相册。在一个实施例中，一种方法包括将照片分组成多组照片，并且选择多个代表照片，其中每个代表照片表示来自多个组的相应组，其中选择基于每个组的质量得分的照片，每个质量得分都基于不同类型的属性。该方法还包括使多个代表性照片能够共享。

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