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1. 发明授权

US6055330A Methods and apparatus for performing digital image and video segmentation and compression using 3-D depth information 失效
标题翻译：使用3-D深度信息执行数字图像和视频分割和压缩的方法和装置
公开(公告)号：US6055330A
公开(公告)日：2000-04-25
申请号：US723467
申请日：1996-10-09
申请人： Alexandros Eleftheriadis , Dimitris Anastassiou , Shif-Fu Chang , Shree Nayar
发明人： Alexandros Eleftheriadis , Dimitris Anastassiou , Shif-Fu Chang , Shree Nayar
IPC分类号： H04N7/30 , G06T9/00 , H04N7/18
CPC分类号： G06T9/007 , H04N19/124 , H04N19/14 , H04N19/149 , H04N19/15 , H04N19/152 , H04N19/176 , H04N19/597 , H04N19/20
摘要： Apparatus and methods for identifying one or more separate objects within depth information which corresponds to a fleid or a frame of video information are disclosed. In a preferred embodiment, an appratus includes an object map generation circuit for receiving depth information and for converting depth information into an object map to associate each pixel within the frame of video information with one of one or more regions of varying perceptual importance is disclosed. This preferred apparatus also includes a region masking circuit for masking the object map to generate one or more depth region masks indicative of pixels within the frame which substantially correspond to preselected regions of depth, and a video object selection circuit for identifying one or more separate objects within each of the one or more preselected regions indicated by each of the one or more region masks, such that each object associated with each depth region is identified as a separate object.
摘要翻译：公开了用于识别对应于视频信息的场或帧的深度信息内的一个或多个单独对象的装置和方法。在一个优选实施例中，一种装置包括一个对象图生成电路，用于接收深度信息并将深度信息转换成对象图，以将视频信息的帧内的每个像素与变化的感知重要性的一个或多个区域中的一个相关联。该优选装置还包括区域屏蔽电路，用于屏蔽对象图以产生一个或多个深度区域掩模，该深度区域掩模指示该帧内基本对应于预选深度区域的像素;以及视频对象选择电路，用于识别一个或多个单独的对象在由一个或多个区域掩模中的每一个指示的一个或多个预选区域的每一个内，使得与每个深度区域相关联的每个对象被识别为单独的对象。

2. 发明申请

US20080300799A1 System And Method For Multiple-Factor Selection 有权
标题翻译：多因素选择的系统和方法
公开(公告)号：US20080300799A1
公开(公告)日：2008-12-04
申请号：US12133045
申请日：2008-06-04
申请人： Dimitris Anastassiou , Vinay Varadan
发明人： Dimitris Anastassiou , Vinay Varadan
IPC分类号： G06F19/00 , G06F15/00
CPC分类号： G06F19/24 , G06F19/20
摘要： The disclosed subject matter provides techniques for multiple-factor selection. The factors can be features or elements that are jointly associated with one or more outcomes by their joint presence or absence. There may be a non-causative correlation between the factors, features, or elements and the outcomes. In some embodiments, Entropy Minimization and Boolean Parsimony (EMBP) is used to identify modules of genes jointly associated with disease from gene expression data, and a logic function is provided to connect the combined expression levels in each gene module with the presence of disease. The smallest module of genes whose joint expression levels can predict the presence of disease can be identified.
摘要翻译：所公开的主题提供了多因素选择的技术。这些因素可以是通过其联合存在或不存在与一个或多个结果共同相关联的特征或元件。因素，特征或要素与结果之间可能存在非因果关系。在一些实施方案中，使用熵最小化和布尔参数（EMBP）来鉴定与基因表达数据共同与疾病相关联的基因的模块，并且提供逻辑功能以将每个基因模块中的组合表达水平与疾病的存在相关联。可以确定其联合表达水平可以预测疾病存在的最小的基因组。

3. 发明申请

US20120290218A1 Computational Analysis of the Synergy Among Multiple Interacting Factors 审中-公开
标题翻译：多重交互因子之间协同作用的计算分析
公开(公告)号：US20120290218A1
公开(公告)日：2012-11-15
申请号：US13534578
申请日：2012-06-27
申请人： Dimitris Anastassiou , Vinay Varadan
发明人： Dimitris Anastassiou , Vinay Varadan
IPC分类号： G06F19/22 , G06F15/00
CPC分类号： C12Q1/6883 , C12Q2600/158
摘要： A method is provided for selecting two or more genes from gene expression data. In the method, gene expression data for a plurality of genes is provided, where the gene expression data include expression levels for each of the plurality of genes. The gene expression data is discretized. Based on the discretized gene expression data, the synergy among the plurality of genes with respect to a phenotype, for example, presence or absence of a disease in a tissue, is evaluated. Two or more genes whose synergy exceeds a predetermined threshold are selected. A system implementing the method is also provided.
摘要翻译：提供从基因表达数据中选择两个或多个基因的方法。在该方法中，提供了多个基因的基因表达数据，其中基因表达数据包括多个基因中的每一个的表达水平。基因表达数据离散化。基于离散化的基因表达数据，评估了多个基因相对于表型的协同作用，例如组织中存在或不存在疾病。选择两个或更多个协同作用超过预定阈值的基因。还提供了一种实现该方法的系统。

4. 发明申请

US20090012719A1 SYSTEM AND METHOD FOR IDENTIFICATION OF SYNERGISTIC INTERACTIONS FROM CONTINUOUS DATA 有权
标题翻译：用于识别连续数据的协同交互的系统和方法
公开(公告)号：US20090012719A1
公开(公告)日：2009-01-08
申请号：US12022862
申请日：2008-01-30
申请人： Dimitris Anastassiou , John Watkinson
发明人： Dimitris Anastassiou , John Watkinson
IPC分类号： G06F19/00
CPC分类号： G06K9/623 , G06F19/20 , G06F19/24 , G06F19/28
摘要： Systems and methods for selecting factors from a continuous data set of measurements are provided. The measurements include values of factors and/or outcomes. Two or more factors that are jointly associated with one or more outcomes from the data set are identified. Each of the two or more factors are analyzed to determine at least one cooperative interaction among the factors with respect to an outcome. The two or more factors can be a module of factors serving as a single factor participating in a cooperative interaction with another factor or module of factors.
摘要翻译：提供了用于从连续的测量数据集中选择因子的系统和方法。测量值包括因素和/或结果的值。识别与数据集中的一个或多个结果共同相关联的两个或更多个因子。分析两个或更多个因素中的每一个以确定关于结果的因素之间的至少一个协作交互。这两个或更多个因素可以是参与与另一个因素或因素模块的协作互动的单一因素的因素模块。

5. 发明授权

US5734755A JPEG/MPEG decoder-compatible optimized thresholding for image and video signal compression 失效
标题翻译：用于图像和视频信号压缩的JPEG / MPEG解码器兼容优化阈值
公开(公告)号：US5734755A
公开(公告)日：1998-03-31
申请号：US212430
申请日：1994-03-11
申请人： Kannan Ramchandran , Martin Vetterli , Yanbin Yu , Dimitris Anastassiou
发明人： Kannan Ramchandran , Martin Vetterli , Yanbin Yu , Dimitris Anastassiou
IPC分类号： H04N19/60 , G06T9/00 , H04N19/61 , H04N19/625
CPC分类号： H04N19/192 , H04N19/132 , H04N19/147 , H04N19/176 , H04N19/18 , H04N19/19 , H04N19/60 , H04N19/146 , H04N19/149 , H04N19/15 , H04N19/152
摘要： For encoding signals corresponding to still images or video sequences, respective standards known as JPEG and MPEG have been proposed. These standards are based on digital cosine transform (DCT) compression. For economy of transmission, DCT coefficients may be "thresholded" prior to transmission, by dropping the less significant DCT coefficients. While maintaining JPEG or MPEG compatibility, threshold selection for the DCT coefficients of an image or video frame is based on optimizing for minimum distortion for a specified maximum target coding bit rate or, equivalently, for minimized coding bit rate for a specified maximum allowable distortion constraint. In the selection process, a dynamic programming method is used.
摘要翻译：为了对与静止图像或视频序列相对应的信号进行编码，已经提出了称为JPEG和MPEG的标准。这些标准是基于数字余弦变换（DCT）压缩。为了传输的经济性，通过丢弃较不重要的DCT系数，可以在传输之前将DCT系数“阈值化”。在保持JPEG或MPEG兼容性的同时，针对图像或视频帧的DCT系数的阈值选择基于对于指定的最大目标编码比特率进行最小失真的优化，或者等效地针对指定的最大允许失真约束的最小编码比特率。在选择过程中，使用动态规划方法。

6. 发明授权

US4926180A Analog to digital conversion using correlated quantization and collective optimization 失效
标题翻译：使用相关量化和集体优化的模数转换
公开(公告)号：US4926180A
公开(公告)日：1990-05-15
申请号：US173441
申请日：1988-03-25
申请人： Dimitris Anastassiou
发明人： Dimitris Anastassiou
IPC分类号： G06J1/00 , G06N3/063 , H03M1/16 , H03M1/36
CPC分类号： H03M1/164 , G06J1/00 , G06N3/063 , H03M1/365
摘要： A 1-bit nonstandard A/D converter for converting a block u of N samples of a continuous time analog signal u(t) into N corresponding 1-bit binary values x, such that a distortion measure of the form d(u,x)=(Au-Bx).sup.T (Au-Bx) is minimized, is implemented with an N-input parallel sample-and-hold circuit and a neural network having N nonlinear amplifiers, where u and x are n-dimensional vectors, and A and B are N.times.N matrices. Minimization of the above distortion measure is equivalent to minimizing the quantity1/2x.sup.T B.sup.T Bx-u.sup.T A.sup.T Bx,which is achieved to at least a good approximation by the N-amplifier neural network. Accordingly, the conductances of the feedback connections among the amplifiers are defined by respective off-diagonal elements of the matrix -B.sup.T B. Additionally, each amplifier of the neural network is connected to receive the analog signal samples through respective conductances defined by the matrix B.sup.T. Furthermore, each amplifier receives a respective constant signal defined by the diagonal elements of the matrix -B.sup.T B. The stabilized outputs of the N amplifiers are the binary values of the digital signal x.A multiple-bit nonstandard A/D converter based on for foregoing 1-bit A/D converter is also disclosed.
摘要翻译： 1位非标准A / D转换器，用于将连续时间模拟信号u（t）的N个样本的块u转换为N个对应的1位二进制值x，使得形式d（u，x ）=（Au-Bx）T（Au-Bx）被最小化，用N输入并行采样保持电路和具有N个非线性放大器的神经网络来实现，其中u和x是n维向量，以及 A和B是N×N矩阵。上述失真测量的最小化等效于使得1 / 2xTBTBx-uTATBx的量的最小化，其被N放大器神经网络至少达到良好的近似。因此，放大器之间的反馈连接的电导由矩阵-BTB的相应非对角线元素定义。此外，神经网络的每个放大器被连接以通过由矩阵BT定义的相应电导来接收模拟信号样本。此外，每个放大器接收由矩阵-BTB的对角线元素定义的相应恒定信号。 N个放大器的稳定输出是数字信号x的二进制值。还公开了一种用于前述1位A / D转换器的多位非标准A / D转换器。

7. 发明授权

US08290715B2 System and method for multiple-factor selection 有权
标题翻译：多因素选择的系统和方法
公开(公告)号：US08290715B2
公开(公告)日：2012-10-16
申请号：US12133045
申请日：2008-06-04
申请人： Dimitris Anastassiou , Vinay Varadan
发明人： Dimitris Anastassiou , Vinay Varadan
IPC分类号： A61B5/00 , G01N33/48 , G01N33/00 , G06F19/00
CPC分类号： G06F19/24 , G06F19/20
摘要： The disclosed subject matter provides techniques for multiple-factor selection. The factors can be features or elements that are jointly associated with one or more outcomes by their joint presence or absence. There may be a non-causative correlation between the factors, features, or elements and the outcomes. In some embodiments, Entropy Minimization and Boolean Parsimony (EMBP) is used to identify modules of genes jointly associated with disease from gene expression data, and a logic function is provided to connect the combined expression levels in each gene module with the presence of disease. The smallest module of genes whose joint expression levels can predict the presence of disease can be identified.
摘要翻译：所公开的主题提供了多因素选择的技术。这些因素可以是通过其联合存在或不存在与一个或多个结果共同相关联的特征或元件。因素，特征或要素与结果之间可能存在非因果关系。在一些实施方案中，使用熵最小化和布尔参数（EMBP）来鉴定与基因表达数据共同与疾病相关联的基因的模块，并且提供逻辑功能以将每个基因模块中的组合表达水平与疾病的存在相关联。可以确定其联合表达水平可以预测疾病存在的最小的基因组。

8. 发明申请

US20120253686A1 SYSTEM AND METHOD FOR MULTIPLE-FACTOR SELECTION 审中-公开
标题翻译：多因素选择的系统与方法
公开(公告)号：US20120253686A1
公开(公告)日：2012-10-04
申请号：US13489334
申请日：2012-06-05
申请人： Dimitris Anastassiou , Vinay Varadan
发明人： Dimitris Anastassiou , Vinay Varadan
IPC分类号： G06F19/24
CPC分类号： G16B40/00 , G16B25/00
摘要： The disclosed subject matter provides techniques for multiple-factor selection. The factors can be features or elements that are jointly associated with one or more outcomes by their joint presence or absence. There may be a non-causative correlation between the factors, features, or elements and the outcomes. In some embodiments, Entropy Minimization and Boolean Parsimony (EMBP) is used to identify modules of genes jointly associated with disease from gene expression data, and a logic function is provided to connect the combined expression levels in each gene module with the presence of disease. The smallest module of genes whose joint expression levels can predict the presence of disease can be identified.
摘要翻译：所公开的主题提供了多因素选择的技术。这些因素可以是通过其联合存在或不存在与一个或多个结果共同相关联的特征或元件。因素，特征或要素与结果之间可能存在非因果关系。在一些实施方案中，使用熵最小化和布尔参数（EMBP）来鉴定与基因表达数据共同与疾病相关联的基因的模块，并且提供逻辑功能以将每个基因模块中的组合表达水平与疾病的存在相关联。可以确定其联合表达水平可以预测疾病存在的最小的基因组。

9. 发明申请

US20110144917A1 SYSTEM AND METHOD FOR IDENTIFICATION OF SYNERGISTIC INTERACTIONS FROM CONTINUOUS DATA 审中-公开
标题翻译：用于识别连续数据的协同交互的系统和方法
公开(公告)号：US20110144917A1
公开(公告)日：2011-06-16
申请号：US13013321
申请日：2011-01-25
申请人： Dimitris Anastassiou , John Watkinson
发明人： Dimitris Anastassiou , John Watkinson
IPC分类号： G06F19/00
CPC分类号： G06K9/623 , G16B25/00 , G16B40/00 , G16B50/00
摘要： Systems and methods for selecting factors from a continuous data set of measurements are provided. The measurements include values of factors and/or outcomes. Two or more factors that are jointly associated with one or more outcomes from the data set are identified. Each of the two or more factors are analyzed to determine at least one cooperative interaction among the factors with respect to an outcome. The two or more factors can be a module of factors serving as a single factor participating in a cooperative interaction with another factor or module of factors.
摘要翻译：提供了用于从连续的测量数据集中选择因子的系统和方法。测量值包括因素和/或结果的值。识别与数据集中的一个或多个结果共同相关联的两个或更多个因子。分析两个或更多个因素中的每一个以确定关于结果的因素之间的至少一个协作交互。这两个或更多个因素可以是参与与另一个因素或因素模块的协作互动的单一因素的因素模块。

10. 再颁专利

USRE35093E Systems and methods for coding even fields of interlaced video sequences 失效
标题翻译：用于对隔行视频序列的偶数域进行编码的系统和方法
公开(公告)号：USRE35093E
公开(公告)日：1995-11-21
申请号：US353968
申请日：1994-12-09
申请人： Feng M. Wang , Dimitris Anastassiou
发明人： Feng M. Wang , Dimitris Anastassiou
IPC分类号： G06T9/00 , H04N7/26 , H04N7/46 , H04N7/50 , H04N7/36
CPC分类号： H04N19/577 , H04N19/105 , H04N19/112 , H04N19/137
摘要： In accordance with the invention, a method, for coding multi-mode predictive interpolative coded fields of video, includes the steps of:(a) providing a current field of interlaced pixel data, and past and future fields of such data;(b) providing estimated pixel data at omitted line positions in the past and future fields of data to form enhanced fields of pixel data;(c) comparing a block of pixel data from the current field with corresponding blocks of data from such past and future fields to derive motion vector signals indicative of best matched blocks of data;(d) developing pixel error signals representing pixel by pixel errors based on utilization of best matched blocks in different modes for comparison with the block of pixel data from the current field and developing best mode signals indicative of which of such modes represents the least overall error; and(e) providing the best mode signals, motion vector signals, pixel error signals, and the future odd field of data for transmission for use by a decoder.
摘要翻译：根据本发明，一种用于编码视频的多模式预测内插编码场的方法包括以下步骤：（a）提供隔行像素数据的当前场，以及这些数据的过去和未来场; （b）在过去和未来的数据字段中提供省略的线位置处的估计像素数据，以形成像素数据的增强场; （c）将来自当前场的像素数据块与来自该过去和将来场的相应数据块进行比较，以导出指示最佳匹配数据块的运动矢量信号; （d）基于不同模式中最佳匹配块的利用来开发代表逐个像素误差的像素误差信号，用于与来自当前场的像素数据块进行比较，并开发指示哪种模式表示最小总误差的最佳模式信号 ; 和（e）提供最佳模式信号，运动矢量信号，像素误差信号以及将来的数据的奇数场以供解码器使用。

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