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    • 1. 发明授权
    • Filtering source video data via independent component selection
    • 通过独立的组件选择过滤源视频数据
    • US08600213B2
    • 2013-12-03
    • US13281975
    • 2011-10-26
    • Lalit Keshav MesthaTakashi Tanaka
    • Lalit Keshav MesthaTakashi Tanaka
    • H04N5/775
    • G06T5/10G06T5/001G06T2207/10016G06T2207/20052G06T2207/30076
    • What is disclosed is a system and method for reconstructing a video signal such that selected signal components have been emphasized. Methods are disclosed for reducing the source video data to its independent signal components for selection. The source video is reconstructed, in a manner more fully disclosed herein, such that the selected component(s) are emphasized in the reconstructed video during video playback. The methods disclosed herein provide a solution for filtering an original video such that technicians can use the reconstructed video to visually examine, for instance, a dominant region of a patient's vital signals. The teachings hereof find their uses in a wide array of remote sensing applications and, in particular, the telemedicine arts.
    • 公开的是用于重建视频信号的系统和方法,使得已经强调所选择的信号分量。 公开了用于将源视频数据减少到其独立信号分量用于选择的方法。 以更全面地公开的方式重建源视频,使得在视频重放期间在重建的视频中强调所选择的组件。 本文公开的方法提供了用于过滤原始视频的解决方案,使得技术人员可以使用重建的视频来目视检查患者生命信号的主要区域。 这些教导在各种遥感应用,特别是远程医疗艺术中发现其用途。
    • 2. 发明授权
    • Video-based estimation of heart rate variability
    • 基于视频的心率变异性估计
    • US08977347B2
    • 2015-03-10
    • US13532057
    • 2012-06-25
    • Lalit Keshav MesthaSurvi KyalBeilei XuHimanshu J. Madhu
    • Lalit Keshav MesthaSurvi KyalBeilei XuHimanshu J. Madhu
    • A61B5/024
    • A61B5/02405A61B5/0004A61B5/02416A61B5/7235A61B2576/00
    • What is disclosed is a video-based system and method for estimating heart rate variability from time-series signals generated from video images captured of a subject of interest being monitored for cardiac function. In a manner more fully disclosed herein, low frequency and high frequency components are extracted from a time-series signal obtained by processing a video of the subject being monitored. A ratio of the low and high frequency of the integrated power spectrum within these components is computed. Analysis of the dynamics of this ratio over time is used to estimate heart rate variability. The teachings hereof can be used in a continuous monitoring mode with a relatively high degree of measurement accuracy and find their uses in a variety of diverse applications such as, for instance, emergency rooms, cardiac intensive care units, neonatal intensive care units, and various telemedicine applications.
    • 所公开的是一种基于视频的系统和方法,用于从由心脏功能监测的感兴趣对象的视频图像产生的时间序列信号估计心率变异性。 以这里更完全公开的方式,从通过处理被监视对象的视频获得的时间序列信号中提取低频和高频分量。 计算这些分量内的综合功率谱的低频和高频比。 分析这个比率随时间的动力学被用于估计心率变异性。 其教导可以以相对较高的测量精度的连续监测模式使用,并且可以在各种各样的应用中使用,例如急诊室,心脏重症监护病房,新生儿重症监护病房和各种各样的 远程医疗应用。
    • 3. 发明授权
    • Using a Pareto Frontier to find an optimal color solution for spot calibration
    • 使用帕累托前沿找到最佳色彩解决方案进行点校准
    • US08922829B2
    • 2014-12-30
    • US13253660
    • 2011-10-05
    • Lina FuAlvaro Enrique GilLalit Keshav Mestha
    • Lina FuAlvaro Enrique GilLalit Keshav Mestha
    • G06F15/00G03F3/08H04N1/60H04N1/54
    • H04N1/60H04N1/54
    • What is disclosed is a method for determining a color solution which achieves color objectives for a color marking device involves performing the following. In one embodiment, N objectives of interest are identified for a color marking device and a N-dimensional Pareto Front is constructed which comprises a collection of color solutions which accommodates those objectives. The Pareto Front is constructed using an optimization process based upon printer models of the objectives. Color solutions can be at least one color recipe, or a combination of color recipes and process actuators. A target point is selected in an N-dimensional objective space based upon at least one user-selected preference. The target point is then mapped to a point on the Pareto Front. The mapping identifies one of the color solutions which, in turn, is used to generate a spot color for the device. The generated spot color achieves the user-selected preference.
    • 所公开的是确定实现彩色标记装置的色彩目标的色彩解决方案的方法,包括执行以下操作。 在一个实施例中,为彩色标记装置识别出感兴趣的N个目标,并且构造了包括适应这些目标的颜色解决方案集合的N维帕累托前端。 帕累托前面采用基于目标打印机模型的优化过程构建。 颜色解决方案可以是至少一种颜色配方,或颜色配方和过程执行器的组合。 基于至少一个用户选择的偏好在N维目标空间中选择目标点。 目标点然后映射到帕累托阵线上的一个点。 该映射标识了颜色解决方案之一,而这些颜色解决方案又被用于生成设备的专色。 生成的专色实现了用户选择的偏好。
    • 4. 发明授权
    • Continuous cardiac pulse rate estimation from multi-channel source video data
    • 来自多通道源视频数据的连续心脏脉搏率估计
    • US08855384B2
    • 2014-10-07
    • US13528307
    • 2012-06-20
    • Survi KyalLalit Keshav MesthaBeilei Xu
    • Survi KyalLalit Keshav MesthaBeilei Xu
    • G06K9/00
    • G06K9/6217A61B5/024G06K9/0057G06K2209/05
    • What is disclosed is a computationally efficient system and method for estimating a subject's cardiac pulse rate from multi-channel source video data. In one embodiment, A time-series signal is received. A sliding window is used to define overlapping segments of the time-series signal. Signal segments are processed by performing constrained independent component analysis (cICA) until convergence to obtain an estimated source signal. A frequency of each estimated source signal obtained by the cICA at convergence is determined to be the subject's estimated cardiac pulse rate for each signal segment. A seed reference signal used by the cICA is repeatedly updated. A sliding window is shifted to define a next time-series signal segment for processing. The method repeats for each signal segment until a termination criteria is met. In such a manner, the subject's cardiac pulse rate is estimated from a video of the subject on a continuous basis.
    • 所公开的是用于从多信道源视频数据估计被摄体的心脏脉搏率的计算有效的系统和方法。 在一个实施例中,接收时间序列信号。 滑动窗口用于定义时间序列信号的重叠段。 通过执行受约束的独立分量分析(cICA)直到收敛以获得估计的源信号来处理信号段。 将通过cICA在会聚处获得的每个估计的源信号的频率确定为每个信号段的被摄体估计的心脏脉搏率。 cICA使用的种子参考信号被重复更新。 移动滑动窗口以定义下一个时间序列信号段进行处理。 该方法对于每个信号段重复,直到满足终止标准。 以这种方式,从受试者的视频连续地估计受试者的心脏脉搏率。
    • 5. 发明授权
    • Post-processing a multi-spectral image for enhanced object identification
    • 后处理多光谱图像以增强对象识别
    • US08818030B2
    • 2014-08-26
    • US13324368
    • 2011-12-13
    • Yao Rong WangLalit Keshav Mestha
    • Yao Rong WangLalit Keshav Mestha
    • G06K9/00
    • G06K9/2018G06K9/6857G06K9/72G06K2209/09
    • A system and method for post-processing a multi-spectral image which has already been processed for pixel classification. A binary image is received which contains pixels that have been classified using a pixel classification method. Each pixel in the image has an associated intensity value and has a pixel value of 1 or 0 depending on whether the pixel has been classified as a material of interest or not. The image is divided into a plurality of blocks of pixels. On a block by block basis, pixel values in a block are changed according to a threshold-based filtering criteria such that pixels in the same block all have the same binary value. Once all the blocks have been processed, contiguous pixels having the same binary value are grouped to form separate objects. In such a manner, pixel classification errors in the post-processed binary image can be reduced.
    • 一种用于后处理已经被处理用于像素分类的多光谱图像的系统和方法。 接收包含使用像素分类方法分类的像素的二进制图像。 图像中的每个像素具有相关联的强度值,并且具有像素值为1或0的取决于像素是否被分类为感兴趣的材料。 该图像被分成多个像素块。 在逐块的基础上,根据基于阈值的滤波准则改变块中的像素值,使得相同块中的像素都具有相同的二进制值。 一旦所有块被处理,具有相同二进制值的连续像素被分组以形成分离的对象。 以这种方式,可以减少后处理二进制图像中的像素分类误差。
    • 6. 发明授权
    • Synchronous parallel pixel processing for scalable color reproduction systems
    • 用于可缩放颜色再现系统的同步并行像素处理
    • US08773446B2
    • 2014-07-08
    • US13023798
    • 2011-02-09
    • Shanmuga-Nathan GnanasambandamLalit Keshav Mestha
    • Shanmuga-Nathan GnanasambandamLalit Keshav Mestha
    • G06F15/80
    • G06T1/20
    • What is disclosed is a novel system and method for parallel processing of intra-image data in a distributed computing environment. A generic architecture and method are presented which collectively facilitate image segmentation and block sorting and merging operations with a certain level of synchronization in a parallel image processing environment which has been traditionally difficult to parallelize. The present system and method enables pixel-level processing at higher speeds thus making it a viable service for a print/copy job document reproduction environment. The teachings hereof have been simulated on a cloud-based computing environment with a demonstrable increase of ≈2× with nominal 8-way parallelism, and an increase of ≈20×-100× on a graphics processor. In addition to production and office scenarios where intra-image processing are likely to be performed, these teachings are applicable to other domains where high-speed video and audio processing are desirable.
    • 公开的是用于在分布式计算环境中并行处理图像内数据的新型系统和方法。 提出了一种通常的架构和方法,其在传统上难以并行化的并行图像处理环境中共同促进图像分割和块排序和合并操作与一定水平的同步。 本系统和方法能够以更高的速度进行像素级处理,从而使其成为打印/复印作业文档再现环境的可行服务。 本文的教导已经在基于云计算环境下进行了模拟,具有标称8路并行性的≈2×的可见增加,并且在图形处理器上增加了≈20×-100×。 除了可能执行图像内处理的生产和办公场景之外,这些教导也适用于需要高速视频和音频处理的其他领域。
    • 7. 发明授权
    • Black point compensation in a TIPP architecture
    • TIPP架构中的黑点补偿
    • US08441680B2
    • 2013-05-14
    • US12507515
    • 2009-07-22
    • Yao Rong WangLalit Keshav Mestha
    • Yao Rong WangLalit Keshav Mestha
    • H04N1/60
    • H04N1/407
    • A method for calibrating an image printing system that includes a plurality of parallel printers, where each of the printers has a minimum luminance value. The method includes determining a minimum luminance value profile for the plurality of printers in the image printing system based on the minimum luminance values of each of the printers in the image printing system, determining a black point compensation function based on the determined minimum luminance value profile, adjusting luminance values for input image data using the determined black point compensation function, and rendering, with the parallel printers, images on substrates based on the input image data with adjusted luminance levels.
    • 一种用于校准包括多个平行打印机的图像打印系统的方法,其中每个打印机具有最小的亮度值。 该方法包括基于图像打印系统中的每个打印机的最小亮度值确定图像打印系统中的多个打印机的最小亮度值分布,基于所确定的最小亮度值分布来确定黑点补偿功能 使用确定的黑点补偿功能调整输入图像数据的亮度值,并且使用并行打印机,基于具有调整的亮度水平的输入图像数据来渲染基板上的图像。
    • 8. 发明授权
    • Spot color rendering via feedback-based multi-objective optimization
    • 通过基于反馈的多目标优化进行现货显色
    • US08335017B1
    • 2012-12-18
    • US13167349
    • 2011-06-23
    • Alvaro Enrique GilLalit Keshav MesthaWencheng WuEdul N. Dalal
    • Alvaro Enrique GilLalit Keshav MesthaWencheng WuEdul N. Dalal
    • H04N1/46
    • H04N1/622
    • What is disclosed is a feedback control based system and method for selecting spot color recipes for improved spot color rendition while simultaneously minimizing a function of image quality attributes formed with states defined as vectors such as L*, a*, b*, mottle, graininess, etc. Color is measured with an in-line spectrophotometer or with a full/partial width array. If the sensor is not available, then a model of the print device is used to optimize the function of image quality attributes. In one example embodiment, a spot color of interest is selected along with a set of image quality attributes to be improved for the spot colors of interest. Set points for process actuators and color recipes of the color marking device are adjusted such that a function of the image quality attributes is minimized when the spot color is rendered on the device. Various workflows are disclosed.
    • 所公开的是基于反馈控制的系统和方法,用于选择改进的专色再现的专色配方,同时最小化由定义为诸如L *,a *,b *,斑点,颗粒度的矢量形成的图像质量属性的功能 等等。使用直列分光光度计或全/部分宽度阵列测量颜色。 如果传感器不可用,则使用打印设备的型号来优化图像质量属性的功能。 在一个示例性实施例中,选择感兴趣的专色连同一组图像质量属性以便针对感兴趣的专色进行改进。 调整颜色标记装置的处理执行器和颜色配置的设定点,使得当在设备上呈现专色时,图像质量属性的功能被最小化。 公开了各种工作流程。