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1. 发明授权

US09710727B2 Anomaly detection using a kernel-based sparse reconstruction model 有权
公开(公告)号：US09710727B2
公开(公告)日：2017-07-18
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 , G06K9/00
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-dimensional 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.

2. 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。

3. 发明申请

US20130286208A1 METHOD AND SYSTEM FOR AUTOMATICALLY DETECTING MULTI-OBJECT ANOMALIES UTILIZING JOINT SPARSE RECONSTRUCTION MODEL 有权
标题翻译：使用联合稀疏重建模型自动检测多对象异常的方法和系统
公开(公告)号：US20130286208A1
公开(公告)日：2013-10-31
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
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。

4. 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。

5. 发明授权

US08477374B2 Cost-effective binary printer models for multi-color printers by improved reflectance modeling and patch clustering 有权
标题翻译：通过改进的反射建模和贴片聚类，可为多色打印机提供经济高效的二进制打印机型号
公开(公告)号：US08477374B2
公开(公告)日：2013-07-02
申请号：US12894475
申请日：2010-09-30
申请人： Vishal Monga , Shen-Ge Wang , Raja Bala
发明人： Vishal Monga , Shen-Ge Wang , Raja Bala
IPC分类号： H04N1/60
CPC分类号： H04N1/6033
摘要： Systems and methods are described that facilitate reducing a number of patches used in characterizing a color halftone printer via a binary color printer model. A binary printer model involves printing of a fundamental set of color binary patterns that encompass all possible halftone outputs. A k-center clustering technique is employed to automatically find and eliminate redundancies in the initial set of binary color patterns. Once the number of patches is reduced to an acceptable number, a multiplicative reflectance model is applied that better approximates the physical process and therefore improves accuracy.
摘要翻译：描述了有助于通过二进制彩色打印机模型减少用于表征彩色半色调打印机的多个补丁的系统和方法。二进制打印机模型涉及打印包含所有可能的半色调输出的基本颜色二进制图案集。采用k-中心聚类技术来自动寻找和消除初始二值颜色图案集中的冗余。一旦将补片的数量减少到可接受的数量，则应用更好地逼近物理过程并因此提高准确度的乘法反射率模型。

6. 发明授权

US08265387B2 Adaptive spatial gamut mapping via dynamic thresholding 有权
标题翻译：通过动态阈值进行自适应空间色域映射
公开(公告)号：US08265387B2
公开(公告)日：2012-09-11
申请号：US12429429
申请日：2009-04-24
申请人： Vishal Monga , Raja Bala , Michael Branciforte
发明人： Vishal Monga , Raja Bala , Michael Branciforte
IPC分类号： G06K9/00
CPC分类号： H04N1/6069
摘要： What is disclosed is a novel system and method for performing spatial gamut mapping on a received input color image having a plurality of pixels. A standard gamut-mapping algorithm is applied to the input color image to produce a gamut-mapped color image. A difference is computed between a selected channel of the input color image and the gamut-mapped image to produce a difference image. A local measure of complexity is derived for a given pixel in the difference image. One or more parameter values of a spatial bilateral filter are obtained from a lookup table based on the computed local measure of complexity. The spatial bilateral filter is applied, using the obtained parameter values, to the current pixel of the difference image to produce a modified pixel in a modified difference image. Thereafter, a modified gamut-mapped color image is obtained from the modified difference image and the gamut-mapped color image.
摘要翻译：所公开的是用于对具有多个像素的接收输入彩色图像执行空间色域映射的新型系统和方法。将标准色域映射算法应用于输入彩色图像以产生色域映射彩色图像。在输入彩色图像的选定通道和色域映射图像之间计算差异以产生差分图像。导出差分图像中给定像素的局部度量度量。基于所计算的本地复杂度测量，从查找表获得空间双边滤波器的一个或多个参数值。使用获得的参数值将空间双边滤波器应用于差分图像的当前像素，以产生经修改的差分图像中的修改像素。此后，从修改的差分图像和色域映射彩色图像获得修改的色域映射彩色图像。

7. 发明申请

US20110216968A1 SMART IMAGE RESIZING WITH COLOR-BASED ENTROPY AND GRADIENT OPERATORS 有权
标题翻译：基于颜色的入侵和梯度算子的SMART图像
公开(公告)号：US20110216968A1
公开(公告)日：2011-09-08
申请号：US12718297
申请日：2010-03-05
申请人： CLAUDE S. FILLION , Vishal Monga , Raja Bala
发明人： CLAUDE S. FILLION , Vishal Monga , Raja Bala
IPC分类号： G06K9/00
CPC分类号： G06K9/00
摘要： A system and method for resizing a digitally represented color image are presented. A color image with pixels defined by luminance and at least one chrominance value is received. For each pixel of the color image, a luminance spatial variation and respective chrominance spatial variations in the respective neighborhood of the each pixel are computed. The luminance spatial variation and the respective chrominance spatial variations are combined to produce a respective importance value for each pixel. Selected pixels are identified based upon their respective importance values and are removed by seam carving of the color image. The seam carving identifies seams of pixels based upon the respective importance values of pixels within the seams of pixels to create a resized color image. The resized color image is produced to an image output device.
摘要翻译：提出了一种用于调整数字化颜色图像大小的系统和方法。接收由亮度和至少一个色度值定义的像素的彩色图像。对于彩色图像的每个像素，计算每个像素的相应邻域中的亮度空间变化和相应的色度空间变化。亮度空间变化和相应的色度空间变化被组合以产生每个像素的相应重要性值。基于它们各自的重要性值来识别所选择的像素，并且通过彩色图像的缝隙去除。接缝雕刻基于像素接缝内的像素的相应重要性值来识别接缝像素，以产生调整大小的彩色图像。调整大小的彩色图像被产生到图像输出装置。

8. 发明申请

US20100239162A1 LOCAL REGRESSION METHODS AND SYSTEMS FOR IMAGE PROCESSING SYSTEMS 有权
标题翻译：用于图像处理系统的本地回归方法和系统
公开(公告)号：US20100239162A1
公开(公告)日：2010-09-23
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。

9. 发明申请

US20090067017A1 INPUT ADAPTIVE METHOD FOR COLOR TABLE LOOK-UP 失效
标题翻译：用于颜色表的输入自适应方法
公开(公告)号：US20090067017A1
公开(公告)日：2009-03-12
申请号：US11853652
申请日：2007-09-11
申请人： Vishal Monga , Raja Bala
发明人： Vishal Monga , Raja Bala
IPC分类号： G03F3/00 , G06K9/00
CPC分类号： G09G5/06 , G09G2340/10 , H04N1/6019
摘要： The proposed systems and methods automatically select the node locations of a multi-dimensional lookup table transformation in accordance with the relative importance of multi-dimensional input values. Such importance, as an example could be quantified by the statistical distribution of the input data. Additionally, the proposed scheme is efficient and works for inputs of arbitrary dimensionality. Finally, the proposed method accounts the characteristics of the input-data and the geometry of the input space. The proposed systems and methods are generally applicable to a large number of practical scenarios including, but not limited to, color imaging applications where input adaptive color look-up tables are desired.
摘要翻译：所提出的系统和方法根据多维输入值的相对重要性自动选择多维查找表变换的节点位置。作为示例的重要性可以通过输入数据的统计分布来量化。此外，所提出的方案是有效的，适用于任意维度的输入。最后，提出的方法考虑了输入数据的特征和输入空间的几何。所提出的系统和方法通常适用于大量实际场景，包括但不限于期望输入自适应颜色查找表的彩色成像应用。

10. 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。

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