公开(公告)号：US07561732B1

公开(公告)日：2009-07-14

申请号：US11051592

申请日：2005-02-04

申请人： Yuri Owechko ,  Narayan Srinivasa ,  Swarup Medasani ,  Riccardo Boscolo

发明人： Yuri Owechko ,  Narayan Srinivasa ,  Swarup Medasani ,  Riccardo Boscolo

IPC分类号： G06K9/00

CPC分类号： G06T7/593 ,  G06T2207/10012 ,  G06T2207/20076

摘要： A method, an apparatus, and a computer program product for three-dimensional shape estimation using constrained disparity propagation are presented. An act of receiving a stereoscopic pair of images of an area occupied by at least one object is performed. Next, pattern regions and non-pattern regions are detected in the images. An initial estimate of śpatial disparities between the pattern regions in the images is generated. The initial estimate is used to generate a subsequent estimate of the spatial disparities between the non-pattern regions. The subsequent estimate is used to generate further subsequent estimates of the spatial disparities using the disparity constraints until there is no change between the results of subsequent iterations, generating a final estimate of the spatial disparities. A disparity map of the area occupied by at least one object is generated from the final estimate of the three-dimensional shape.

摘要翻译： 提出了一种使用受限视差传播进行三维形状估计的方法，装置和计算机程序产品。 执行接收由至少一个对象占据的区域的立体图像对的动作。 接下来，在图像中检测图案区域和非图案区域。 生成图像中的图案区域之间的空间差异的初始估计。 初始估计用于产生非图案区域之间的空间差异的随后估计。 随后的估计用于使用差异约束来生成空间差异的进一步后续估计，直到后续迭代的结果之间没有变化，产生空间差异的最终估计。 从三维形状的最终估计中生成由至少一个对象占据的区域的视差图。

公开(公告)号：US07715591B2

公开(公告)日：2010-05-11

申请号：US10132875

申请日：2002-04-24

申请人： Yuri Owechko ,  Narayan Srinivasa ,  Swarup Medasani ,  Riccardo Boscolo

发明人： Yuri Owechko ,  Narayan Srinivasa ,  Swarup Medasani ,  Riccardo Boscolo

IPC分类号： G06K9/00

CPC分类号： G06K9/6292 ,  G06K9/00201 ,  G06K9/00369 ,  G06K9/00832 ,  G06K9/209 ,  G06K9/522 ,  G06T7/97 ,  G06T2207/10021 ,  G06T2207/20064 ,  G06T2207/30268 ,  H04N2013/0081 ,  H04N2013/0092

摘要： A vision-based system for automatically detecting the type of object within a specified area, such as the type of occupant within a vehicle is presented. The type of occupant can then be used to determine whether an airbag deployment system should be enabled or not. The system extracts different features, including wavelet features and/or a disparity map from images captured by image sensors. These features are then processed by classification algorithms to produce class confidences for various occupant types. The occupant class confidences are fused and processed to determine occupant type. In a preferred embodiment, image features from image edges, wavelet features, and disparity are used. Various classification algorithms may be implemented to classify the object. Use of the disparity map and/or wavelet features provides greater computational efficiency.

摘要翻译： 提出了一种基于视觉的系统，用于自动检测指定区域内物体的类型，例如车辆内乘客的类型。 然后可以使用乘客的类型来确定是否应启用安全气囊展开系统。 该系统从图像传感器捕获的图像中提取不同的特征，包括小波特征和/或视差图。 然后通过分类算法对这些特征进行处理，以便为各种乘客类型生成类别信息。 乘员班信心被融合和处理以确定乘客类型。 在优选实施例中，使用来自图像边缘的图像特征，小波特征和视差。 可以实现各种分类算法来对对象进行分类。 使用视差图和/或小波特征提供更大的计算效率。

公开(公告)号：US06801662B1

公开(公告)日：2004-10-05

申请号：US09685235

申请日：2000-10-10

申请人： Yuri Owechko ,  Narayan Srinivasa ,  Swarup S. Medasani ,  Riccardo Boscolo

发明人： Yuri Owechko ,  Narayan Srinivasa ,  Swarup S. Medasani ,  Riccardo Boscolo

IPC分类号： G06K962

CPC分类号： B60R21/01538 ,  B60R21/01542 ,  G06K9/00201 ,  G06K9/00362 ,  G06K9/6293

摘要： A vision-based system for automatically detecting the type of object within a specified area, such as the type of occupant within a vehicle. Determination of the type of occupant can then be used to determine whether an airbag deployment system should be enabled or not. The system extracts different features from images captured by image sensors. These features are then processed by classification algorithms to produce occupant class confidences for various occupant types. The occupant class confidences are then fused and processed to determine the type of occupant. In a preferred embodiment, image features derived from image edges, motion, and range are used. Classification algorithms may be implemented by using trained C5 decision trees, trained Nonlinear Discriminant Analysis networks, Hausdorff template matching and trained Fuzzy Aggregate Networks. In an exemplary embodiment, class confidences are provided for a rear-facing infant seat, a front-facing infant seat, an adult out of position, and an adult in a normal or twisted position. Fusion of these class confidences derived from multiple image features increases the accuracy of the system and provides for correct determination of an airbag deployment decision.

摘要翻译： 一种基于视觉的系统，用于自动检测指定区域内物体的类型，例如车辆内的乘客类型。 然后可以确定乘客的类型，以确定是否应启用安全气囊展开系统。 该系统从图像传感器捕获的图像中提取不同的特征。 然后通过分类算法对这些特征进行处理，以便为各种乘员类型产生乘员级别信心。 然后对乘员班级信心进行融合和处理，以确定乘客的类型。 在优选实施例中，使用从图像边缘，运动和范围导出的图像特征。 分类算法可以通过使用经过训练的C5决策树，经过训练的非线性判别分析网络，Hausdorff模板匹配和经过训练的模糊聚合网络来实现。 在一个示例性实施例中，提供了用于面向后方的婴儿座椅，前置婴儿座椅，成人不在位置以及处于正常或扭转位置的成年人的类别信号。 从多个图像特征导出的这些类别信息的融合增加了系统的准确性，并提供了安全气囊部署决定的正确确定。

公开(公告)号：US08417695B2

公开(公告)日：2013-04-09

申请号：US12610202

申请日：2009-10-30

申请人： Qian Zhong ,  Riccardo Boscolo ,  Behnam A. Rezaei ,  Sam Talaie ,  Vwani P. Roychowdhury

发明人： Qian Zhong ,  Riccardo Boscolo ,  Behnam A. Rezaei ,  Sam Talaie ,  Vwani P. Roychowdhury

IPC分类号： G06F17/30

CPC分类号： G06F17/278

摘要： A solution for identifying related concepts of URLs and domain names includes using structural parsing to extract information from user input comprising a URL or domain name. The information includes one or more of a protocol, a location, and a subdirectory. Semantic parsing of the information is used to identify a first one or more concepts represented by one or more tokens within the extracted information. A content association map is queried to retrieve a second one or more concepts related to the first one or more concepts. Each of the concepts represents a unit of thought, expressed by a term, letter, or symbol. The concept association map includes a representation of concepts, concept metadata, and relationships between the concepts. The first one or more concepts and the second one or more concepts are ranked, and the ranked concepts are stored for displaying to one or more users of the computer platform.

摘要翻译： 用于识别URL和域名的相关概念的解决方案包括使用结构解析来从包括URL或域名的用户输入中提取信息。 信息包括协议，位置和子目录中的一个或多个。 信息的语义解析用于识别在所提取的信息内由一个或多个令牌表示的第一个或多个概念。 查询内容关联图以检索与第一个或多个概念相关的第二个或多个概念。 每个概念都代表一个思想单元，用一个术语，一个字母或符号表示。 概念关联图包括概念，概念元数据和概念之间的关系的表示。 第一个一个或多个概念和第二个一个或多个概念被排序，并且排列的概念被存储以显示给计算机平台的一个或多个用户。

公开(公告)号：US10387892B2

公开(公告)日：2019-08-20

申请号：US12436748

申请日：2009-05-06

申请人： Behnam Attaran Rezaei ,  Riccardo Boscolo ,  Vwani P. Roychowdhury

发明人： Behnam Attaran Rezaei ,  Riccardo Boscolo ,  Vwani P. Roychowdhury

IPC分类号： G06Q10/10 ,  G06Q30/02

摘要： Discovering relevant concepts and context for content nodes to determine a user's intent includes identifying one or more concept candidates in a content node based at least in part on one or more statistical measures, and matching concepts in a concept association map against text in the content node. The concept association map represents concepts, concept metadata, and relationships between the concepts. The one or more concept candidates are ranked to create a ranked one or more concept candidates based at least in part on a measure of relevance. The ranked one or more concept candidates is expanded according to one or more cost functions. The expanded set of concepts is stored in association with the content node.

公开(公告)号：US20090281900A1

公开(公告)日：2009-11-12

申请号：US12436748

申请日：2009-05-06

申请人： Behnam Attaran Rezaei ,  Riccardo Boscolo ,  Vwani P. Roychowdhury

发明人： Behnam Attaran Rezaei ,  Riccardo Boscolo ,  Vwani P. Roychowdhury

IPC分类号： G06F17/30 ,  G06F15/18 ,  G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q10/10 ,  G06Q30/0257

摘要： Discovering relevant concepts and context for content nodes to determine a user's intent includes identifying one or more concept candidates in a content node based at least in part on one or more statistical measures, and matching concepts in a concept association map against text in the content node. The concept association map represents concepts, concept metadata, and relationships between the concepts. The one or more concept candidates are ranked to create a ranked one or more concept candidates based at least in part on a measure of relevance. The ranked one or more concept candidates is expanded according to one or more cost functions. The expanded set of concepts is stored in association with the content node.

摘要翻译： 发现用于内容节点的相关概念和上下文以确定用户的意图包括至少部分地基于一个或多个统计度量来标识内容节点中的一个或多个概念候选，以及将概念关联映射中的概念与内容节点中的文本进行匹配 。 概念关联图表示概念，概念元数据以及概念之间的关系。 一个或多个概念候选者被排名以至少部分地基于相关性的度量来创建排名一个或多个概念候选。 根据一个或多个成本函数扩展排名的一个或多个概念候选者。 扩展的概念集合与内容节点相关联地存储。

公开(公告)号：US20090300009A1

公开(公告)日：2009-12-03

申请号：US12476205

申请日：2009-06-01

申请人： Behnam A. Rezaei ,  Riccardo Boscolo ,  Nima Khajehnouri ,  Vwani P. Roychowdhury ,  Himawan Gunadhi

发明人： Behnam A. Rezaei ,  Riccardo Boscolo ,  Nima Khajehnouri ,  Vwani P. Roychowdhury ,  Himawan Gunadhi

IPC分类号： G06F17/30

CPC分类号： H04L67/22 ,  G06Q30/0251 ,  H04L67/306

摘要： A pre-computed concept map represents concepts, concept metadata, and relationships between the plurality of concepts. Online user behavior may be predicted by correlating one or more online events of a user with one or more features of the concept map, aggregating a concept map history of the user to obtain online behavior over time, aggregating online behavior of the user and one or more other users to obtain aggregated online user behavior, and predicting future online behavior of the user based at least in part on the online behavior of the user and the aggregated online user behavior. The predicted behavior may be used to target ads that the user is likely to find relevant.

摘要翻译： 预先计算的概念图表示概念，概念元数据以及多个概念之间的关系。 可以通过将用户的一个或多个在线事件与概念图的一个或多个特征相关联来预测在线用户行为，聚合用户的概念图历史以获得随时间的在线行为，聚合用户的在线行为以及一个或多个 更多其他用户获得聚合的在线用户行为，并至少部分地基于用户的在线行为和聚合的在线用户行为来预测用户的未来在线行为。 预测的行为可能用于定位用户可能会找到相关的广告。

公开(公告)号：US09110985B2

公开(公告)日：2015-08-18

申请号：US12906051

申请日：2010-10-15

申请人： Riccardo Boscolo ,  Behnam Attaran Rezaei ,  Vwani P. Roychowdhury ,  Albert Chern ,  Nima Khajehnouri

发明人： Riccardo Boscolo ,  Behnam Attaran Rezaei ,  Vwani P. Roychowdhury ,  Albert Chern ,  Nima Khajehnouri

IPC分类号： G06F17/30

CPC分类号： G06F17/30734 ,  G06F17/3089

摘要： A method for generating a conceptual association graph from structured content includes grouping content nodes into one or more topically biased clusters, the content nodes comprising structured digital content and unstructured digital content, the grouping based at least in part on the connectedness of each content node member to other content node members in the same cluster. The method also includes, responsive to the grouping, tagging the content nodes with one or more descriptive concepts. The method also includes, responsive to the tagging, establishing one or more associations between the one or more concepts, the one or more associations indicating a relevance of the one or more associations, the indicating based at least in part on patterns of co-occurrence of concepts in the tagged content nodes.

摘要翻译： 用于从结构化内容生成概念关联图的方法包括将内容节点分组成一个或多个局部偏置的集群，所述内容节点包括结构化数字内容和非结构化数字内容，所述分组至少部分地基于每个内容节点成员的连接性 到同一集群中的其他内容节点成员。 该方法还包括响应于分组，使用一个或多个描述性概念标记内容节点。 所述方法还包括响应于所述标记，在所述一个或多个概念之间建立一个或多个关联，所述一个或多个关联指示所述一个或多个关联的相关性，所述指示至少部分地基于同现的模式 的标签内容节点中的概念。

公开(公告)号：US20100114879A1

公开(公告)日：2010-05-06

申请号：US12610202

申请日：2009-10-30

申请人： Qian Zhong ,  Riccardo Boscolo ,  Behnam A. Rezaei ,  Sam Talaie ,  Vwani P. Roychowdhury

发明人： Qian Zhong ,  Riccardo Boscolo ,  Behnam A. Rezaei ,  Sam Talaie ,  Vwani P. Roychowdhury

IPC分类号： G06F17/30

CPC分类号： G06F17/278

摘要： A solution for identifying related concepts of URLs and domain names includes using structural parsing to extract information from user input comprising a URL or domain name. The information includes one or more of a protocol, a location, and a subdirectory. Semantic parsing of the information is used to identify a first one or more concepts represented by one or more tokens within the extracted information. A content association map is queried to retrieve a second one or more concepts related to the first one or more concepts. Each of the concepts represents a unit of thought, expressed by a term, letter, or symbol. The concept association map includes a representation of concepts, concept metadata, and relationships between the concepts. The first one or more concepts and the second one or more concepts are ranked, and the ranked concepts are stored for displaying to one or more users of the computer platform.

摘要翻译： 用于识别URL和域名的相关概念的解决方案包括使用结构解析来从包括URL或域名的用户输入中提取信息。 信息包括协议，位置和子目录中的一个或多个。 信息的语义解析用于识别在所提取的信息内由一个或多个令牌表示的第一个或多个概念。 查询内容关联图以检索与第一个或多个概念相关的第二个或多个概念。 每个概念都代表一个思想单元，用一个术语，一个字母或符号表示。 概念关联图包括概念，概念元数据和概念之间的关系的表示。 第一个一个或多个概念和第二个一个或多个概念被排序，并且排列的概念被存储以显示给计算机平台的一个或多个用户。

公开(公告)号：US07020284B2

公开(公告)日：2006-03-28

申请号：US09891147

申请日：2001-06-25

申请人： Patrick Oscar Boykin ,  Riccardo Boscolo

发明人： Patrick Oscar Boykin ,  Riccardo Boscolo

IPC分类号： G06F1/26

CPC分类号： H04N21/44055 ,  H04N7/1675 ,  H04N19/30 ,  H04N19/61 ,  H04N21/23476

摘要： The present invention is a combined encoder and perceptual encrypter for a file of high quality video. The combined encoder and perceptual encrypter includes an encoder and perceptual encrypter. The encoder encodes the file of high quality video as encoded data. The perceptual encryption module perceptually encrypts the encoded data in order to generate restricted video data as perceptually encrypted encoded data.