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21. 发明申请

US20140232862A1 ANOMALY DETECTION USING A KERNEL-BASED SPARSE RECONSTRUCTION MODEL 有权
标题翻译：使用基于KERNEL的SPARSE重建模型进行异常检测
公开(公告)号：US20140232862A1
公开(公告)日：2014-08-21
申请号：US13773097
申请日：2013-02-21
申请人： Raja Bala , Vishal Monga , Xuan Mo , Zhigang Fan
发明人： Raja Bala , Vishal Monga , Xuan Mo , Zhigang Fan
IPC分类号： G06K9/62
CPC分类号： G06K9/6256 , G06K9/00771 , G06K9/6249
摘要： A method and system for detecting anomalies in video footage. A training dictionary can be configured to include a number of event classes, wherein events among the event classes can be defined with respect to n-diminensional feature vectors. One or more nonlinear kernel function can be defined, which transform the n-dimensional feature vectors into a higher dimensional feature space. One or more test events can then be received within an input video sequence of the video footage. Thereafter, a determination can be made if the test event(s) is anomalous by applying a sparse reconstruction with respect to the training dictionary in the higher dimensional feature space induced by the nonlinear kernel function.
摘要翻译：一种用于检测视频画面异常的方法和系统。训练词典可以被配置为包括多个事件类，其中事件类中的事件可以相对于n维特征向量来定义。可以定义一个或多个非线性内核函数，其将n维特征向量变换成更高维度的特征空间。然后可以在视频录像的输入视频序列内接收一个或多个测试事件。此后，如果通过对由非线性内核函数引起的较高维特征空间中的训练词典应用稀疏重建来测试事件是异常的，则可以进行确定。

22. 发明授权

US08593708B2 Methods, systems and apparatus for jointly optimizing node locations and corresponding output values of a color look-up-table (LUT) 有权
标题翻译：用于共同优化节点位置和颜色查找表（LUT）的相应输出值的方法，系统和装置
公开(公告)号：US08593708B2
公开(公告)日：2013-11-26
申请号：US12724107
申请日：2010-03-15
申请人： Vishal Monga , Raja Bala
发明人： Vishal Monga , Raja Bala
IPC分类号： G03F3/08
CPC分类号： H04N1/6025
摘要： This disclosure provides methods, systems and apparatus for jointly optimizing node locations and corresponding output value of a color look-up-table (LUT) associated with an imaging device. According to one exemplary method, initially a set of LUT node locations are generated by solving a first optimization problem and subsequently, a set of LUT node values are generated by solving a second optimization problem.
摘要翻译：本公开提供了用于联合优化节点位置的方法，系统和装置以及与成像装置相关联的颜色查找表（LUT）的相应输出值。根据一个示例性方法，最初通过求解第一优化问题来生成一组LUT节点位置，随后通过求解第二优化问题来生成一组LUT节点值。

23. 发明授权

US08139857B2 Local regression methods and systems for image processing systems 有权
标题翻译：图像处理系统的局部回归方法和系统
公开(公告)号：US08139857B2
公开(公告)日：2012-03-20
申请号：US12406303
申请日：2009-03-18
申请人： Vishal Monga , Raja Bala
发明人： Vishal Monga , Raja Bala
IPC分类号： G06K9/00
CPC分类号： H04N1/6016 , H04N1/603
摘要： This disclosure provides methods, apparatus and systems for performing image processing regression for approximating multidimensional color transformation. According to an exemplary method, a shaping matrix is selected to minimize a cost function associated with a local linear regression representation of the color transformation.
摘要翻译：本公开提供了用于执行用于近似多维颜色变换的图像处理回归的方法，装置和系统。根据示例性方法，选择整形矩阵以最小化与颜色变换的局部线性回归表示相关联的成本函数。

24. 发明授权

US07688470B2 System and method for color calibration incorporating gray-component replacement using black value and intermediate color variable input 失效
标题翻译：使用黑色值和中间色彩可变输入的包含灰色成分替换的颜色校准的系统和方法
公开(公告)号：US07688470B2
公开(公告)日：2010-03-30
申请号：US11613861
申请日：2006-12-20
申请人： Vishal Monga , Raja Bala
发明人： Vishal Monga , Raja Bala
IPC分类号： H04N1/60
CPC分类号： H04N1/6022
摘要： Disclosed are systems and methods for color calibration incorporating gray-component replacement, and more particularly, controlling gray component replacement in a color output device by applying a pre-defined transformation to a plurality of non-black channels to obtain at least one intermediate variable, and determining at least one output black (K) value from both the black channel input value and the intermediate variable, in order to provide control of gray component replacement in the color output device.
摘要翻译：公开了用于颜色校准的系统和方法，其包括灰分分量替换，更具体地，通过将预定义的变换应用于多个非黑色通道来获得至少一个中间变量来控制彩色输出设备中的灰度分量替换，以及从所述黑色通道输入值和所述中间变量两者确定至少一个输出黑色（K）值，以便提供所述颜色输出装置中的灰色成分替换的控制。

25. 发明申请

US20090195796A1 AUTOMATIC SELECTION OF A SUBSET OF REPRESENTATIVE PAGES FROM A MULTI-PAGE DOCUMENT 有权
标题翻译：从多页文档自动选择代表页的子页面
公开(公告)号：US20090195796A1
公开(公告)日：2009-08-06
申请号：US12024208
申请日：2008-02-01
申请人： VISHAL MONGA , Raja Bala
发明人： VISHAL MONGA , Raja Bala
IPC分类号： G06F15/00
CPC分类号： G06K9/00442
摘要： What is provided herein is a method for automatically selecting a subset of pages from a multi-page document for image processing wherein each selected page is substantially different from all other pages according to certain features of interest and wherein the combined content of the selected pages approximately represents the content in the entire document. Selected pages are clustered wherein each page is represented by a feature vector meaningfully related to the task to be performed. A matrix of feature vectors is analyzed. Basis vectors are extracted from the matrix using rank-reduction techniques. Clustering is performed by subspace projection of page features onto the basis vectors with each page being assigned to a cluster to which that page maximally projects. Representative pages are selected from each cluster. The representative pages can then be used as input to a secondary process.
摘要翻译：这里提供的是用于从用于图像处理的多页文档中自动选择页面子集的方法，其中根据感兴趣的某些特征，每个所选择的页面与所有其他页面基本不同，并且其中所选择的页面的组合内容大约表示整个文档中的内容。所选页面被聚集，其中每个页面由与要执行的任务有意义相关的特征向量表示。分析特征向量矩阵。使用秩降低技术从矩阵中提取基础向量。通过将页面特征的子空间投影到基本向量上执行聚类，每个页面被分配给该页面最大程度投射到的群集。从每个群集中选择代表页面。然后可以将代表性页面用作次要过程的输入。

26. 发明授权

US09122932B2 Method and system for automatically detecting multi-object anomalies utilizing joint sparse reconstruction model 有权
标题翻译：利用关联稀疏重建模型自动检测多物体异常的方法和系统
公开(公告)号：US09122932B2
公开(公告)日：2015-09-01
申请号：US13476239
申请日：2012-05-21
申请人： Raja Bala , Zhigang Fan , Aaron Burry , Vishal Monga , Xuan Mo
发明人： Raja Bala , Zhigang Fan , Aaron Burry , Vishal Monga , Xuan Mo
IPC分类号： H04N7/18 , G06K9/00 , G08G1/01 , G06K9/62
CPC分类号： G06K9/00771 , G06K9/6249 , G08G1/0129 , H04N7/181
摘要： Methods and systems for automatically detecting multi-object anomalies at a traffic intersection utilizing a joint sparse reconstruction model. A first input video sequence at a first traffic location can be received and at least one normal event involving P moving objects (where P is greater than or equal to 1) can be identified in an offline training phase. The normal event in the first input video sequence can be assigned to at least one normal event class and a training dictionary suitable for joint sparse reconstruction can be built in the offline training phase. A second input video sequence captured at a second traffic location similar to the first traffic location can be received and at least one event involving P moving objects can be identified in an online detection phase.
摘要翻译：利用联合稀疏重建模型自动检测交通路口多物体异常的方法和系统。可以在离线训练阶段中识别在第一交通位置处的第一输入视频序列，并且可以在离线训练阶段识别涉及P个运动对象（其中P大于或等于1）的至少一个正常事件。可以将第一输入视频序列中的正常事件分配给至少一个正常事件类，并且可以在离线训练阶段中构建适合关联稀疏重建的训练字典。可以接收在类似于第一业务位置的第二业务位置处捕获的第二输入视频序列，并且可以在在线检测阶段中识别涉及P个移动对象的至少一个事件。

27. 发明授权

US08249340B2 Dimensionality reduction method and system for efficient color profile compression 有权
标题翻译：尺寸缩减方法和系统，用于有效的色彩压缩
公开(公告)号：US08249340B2
公开(公告)日：2012-08-21
申请号：US12396202
申请日：2009-03-02
申请人： Vishal Monga , Raja Bala
发明人： Vishal Monga , Raja Bala
IPC分类号： G06K9/36
CPC分类号： H04N1/46
摘要： A dimensionality reduction method and system for efficient color transform compression is disclosed. A multi-dimensional color transform with an n-dimensional input color space can be received. A projection operator can be derived and applied to the n-dimensional input color space to form a k-dimensional input color space. A functional approximation can be designed to the n-dimensional input color space and can be evaluated on the k-dimensional input color space to form an m-dimensional output color space. The projection operator and the approximation function can be combined to form a compressed transform by mapping the n-dimensional input color space to m-dimensional output color space. Such an approach provides a significant reduction in size of the color profile with respect to storage and speeds-up real-time computation.
摘要翻译：公开了一种用于高效率色彩变换压缩的维数降低方法和系统。可以接收具有n维输入颜色空间的多维颜色变换。可以导出投影算子并将其应用于n维输入颜色空间以形成k维输入颜色空间。可以将功能近似设计为n维输入颜色空间，并且可以在k维输入颜色空间上进行评估以形成m维输出颜色空间。通过将n维输入颜色空间映射到m维输出颜色空间，投影算子和近似函数可以组合形成压缩变换。这种方法提供了相对于存储和加速实时计算的颜色特征图的大小的显着减小。

28. 发明授权

US08035855B2 Automatic selection of a subset of representative pages from a multi-page document 有权
标题翻译：从多页文档中自动选择代表页面的一个子集
公开(公告)号：US08035855B2
公开(公告)日：2011-10-11
申请号：US12024208
申请日：2008-02-01
申请人： Vishal Monga , Raja Bala
发明人： Vishal Monga , Raja Bala
IPC分类号： G06F15/00
CPC分类号： G06K9/00442
摘要： What is provided herein is a method for automatically selecting a subset of pages from a multi-page document for image processing wherein each selected page is substantially different from all other pages according to certain features of interest and wherein the combined content of the selected pages approximately represents the content in the entire document. Selected pages are clustered wherein each page is represented by a feature vector meaningfully related to the task to be performed. A matrix of feature vectors is analyzed. Basis vectors are extracted from the matrix using rank-reduction techniques. Clustering is performed by subspace projection of page features onto the basis vectors with each page being assigned to a cluster to which that page maximally projects. Representative pages are selected from each cluster. The representative pages can then be used as input to a secondary process.
摘要翻译：这里提供的是用于从用于图像处理的多页文档中自动选择页面子集的方法，其中根据感兴趣的某些特征，每个所选择的页面与所有其他页面基本不同，并且其中所选择的页面的组合内容大约表示整个文档中的内容。所选页面被聚集，其中每个页面由与要执行的任务有意义相关的特征向量表示。分析特征向量矩阵。使用秩降低技术从矩阵中提取基础向量。通过将页面特征的子空间投影到基本向量上执行聚类，每个页面被分配给该页面最大程度投射到的群集。从每个群集中选择代表页面。然后可以将代表性页面用作次要过程的输入。

29. 发明申请

US20110222080A1 METHODS, SYSTEMS AND APPARATUS FOR JOINTLY OPTIMIZING NODE LOCATIONS AND CORRESPONDING OUTPUT VALUES OF A COLOR LOOK-UP-TABLE (LUT) 有权
标题翻译：方法，系统和设备，用于最佳优化节点位置和相关查询表（LUT）的输出值
公开(公告)号：US20110222080A1
公开(公告)日：2011-09-15
申请号：US12724107
申请日：2010-03-15
申请人： Vishal Monga , Raja Bala
发明人： Vishal Monga , Raja Bala
IPC分类号： H04N1/60 , G06K9/00
CPC分类号： H04N1/6025
摘要： This disclosure provides methods, systems and apparatus for jointly optimizing node locations and corresponding output value of a color look-up-table (LUT) associated with an imaging device. According to one exemplary method, initially a set of LUT node locations are generated by solving a first optimization problem and subsequently, a set of LUT node values are generated by solving a second optimization problem.
摘要翻译：本公开提供了用于联合优化节点位置的方法，系统和装置以及与成像装置相关联的颜色查找表（LUT）的相应输出值。根据一个示例性方法，最初通过求解第一优化问题来生成一组LUT节点位置，随后通过求解第二优化问题来生成一组LUT节点值。

30. 发明授权

US07956867B2 Color separation multiplexing for real-time multi-dimensional device calibration 有权
标题翻译：色彩分离复用用于实时多维设备校准
公开(公告)号：US07956867B2
公开(公告)日：2011-06-07
申请号：US12118306
申请日：2008-05-09
申请人： Raja Bala , Vishal Monga
发明人： Raja Bala , Vishal Monga
IPC分类号： G09G5/00 , G09G5/02 , H04N1/50 , H04N5/46 , H04N5/14 , H04N1/46 , G06K9/00 , G03F3/08 , H04N5/202 , G06F15/00 , G06K9/36 , G06K9/32
CPC分类号： G09G5/00 , G06F3/13 , G09G5/003 , G09G5/06 , G09G2320/0693 , G09G2340/02 , H04N1/603 , H04N1/64
摘要： In accordance with the disclosure, a method is provided for processing color images for rendering on a color image. The method comprises receiving a plurality of device color separations for an image intended for rendering on a color image device; forming at least one intermediate image by interleaving pixels from at least two of the device color separations, compressing the at least one intermediate image in a compression module; decompressing the at least one intermediate image in a decompression module; processing the at least one decompressed intermediate image through a multidimensional calibration transform to output a calibrated device color separation; and, the device color separations include at least three colors.
摘要翻译：根据本公开，提供了一种用于处理彩色图像以在彩色图像上呈现的方法。该方法包括：接收用于在彩色图像设备上呈现的图像的多个设备分色; 通过交织来自至少两个所述设备分色的像素来形成至少一个中间图像，压缩所述至少一个中间图像在压缩模块中; 解压缩解压模块中的至少一个中间图像; 通过多维校准变换处理所述至少一个解压缩的中间图像以输出经校准的装置颜色分离; 并且，设备分色包括至少三种颜色。

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