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    Method for Estimating Parameters of a Graph Spectral Filter Using Training Data
    6.
    发明申请
    Method for Estimating Parameters of a Graph Spectral Filter Using Training Data 审中-公开
    使用训练数据估计图谱滤波器参数的方法

    公开(公告)号：US20150112897A1

    公开(公告)日：2015-04-23

    申请号：US14060894

    申请日：2013-10-23

    Applicant: Mitsubishi Electric Research Laboratories, Inc.

    Inventor： Yongzhe Wang ,  Dong Tian ,  Hassan Mansour ,  Anthony Vetro ,  Antonio Ortega

    IPC: G06N99/00 ,  H03H17/02

    CPC classification number: G06N99/005 ,  G06K9/469 ,  G06T5/20 ,  G06T7/44 ,  G06T2207/20072 ,  G06T2207/20081

    Abstract: A method processes a signal represented as a graph by first determining a graph spectral transform based on the graph. In a spectral domain, parameters of a graph filter are estimated using a training data set of unenhanced and corresponding enhanced signals. The graph filter is derived based on the graph spectral transform and the estimated graph filter parameters. Then, the signal is processed using the graph filter to produce an output signal. The processing can enhance signals such as images b denoising or interpolating missing samples.

    Abstract translation: 一种方法通过首先基于该图确定图谱谱变换来处理表示为图形的信号。 在频谱域中，使用未增强和相应的增强信号的训练数据集来估计图形滤波器的参数。 图形滤波器基于图谱变换和估计的图形滤波器参数导出。 然后，使用图形滤波器处理信号以产生输出信号。 该处理可以增强诸如图像去除或内插丢失样本的信号。

    Method and System for Encoding Collections of Images and Videos
    7.
    发明申请
    Method and System for Encoding Collections of Images and Videos 有权
    用于编码图像和视频集合的方法和系统

    公开(公告)号：US20140219330A1

    公开(公告)日：2014-08-07

    申请号：US13758348

    申请日：2013-02-04

    Applicant: MITSUBISHI ELECTRIC RESEARCH LABORATORIES, Inc

    Inventor： Dong Tian ,  Anthony Vetro ,  Shantanu Rane

    IPC: H04N7/26

    CPC classification number: H04N19/134 ,  H04N19/54 ,  H04N19/573

    Abstract: An input segment of an input video is encoded by first extracting and storing, for each segment of previously encoded videos, a set of reference features. The set of input features are matched with each set of the reference features to produce a set of scores. The reference segments having largest scores are selected to produce a first reduced set of reference segments. A rate-distortion cost for each reference segment in the first reduced set of reference segments is estimated. The reference segments in the first reduced set of reference segments is selected to produce a second reduced set of reference segments. Then, the input segment are encoded based on second reduced set of reference segments.

    Abstract translation: 通过首先对先前编码的视频的每个段提取和存储一组参考特征来编码输入视频的输入段。 输入特征的集合与每组参考特征相匹配以产生一组分数。 选择具有最大分数的参考分段以产生第一缩减的参考分组集合。 估计第一组缩减的参考段中每个参考段的速率失真成本。 选择第一缩减的参考段集合中的参考段以产生第二缩减的参考段集合。 然后，基于第二缩减的参考片段编码输入片段。

    Method and System for Motion Field Backward Warping Using Neighboring Blocks in Videos
    8.
    发明申请
    Method and System for Motion Field Backward Warping Using Neighboring Blocks in Videos 有权
    在视频中使用相邻块的运动场向后变形的方法和系统

    公开(公告)号：US20140092210A1

    公开(公告)日：2014-04-03

    申请号：US13742461

    申请日：2013-01-16

    Applicant: MITSUBISHI ELECTRIC RESEARCH LABORATORIES, INC.

    Inventor： Dong Tian ,  Feng Zou ,  Anthony Vetro

    IPC: H04N7/26

    CPC classification number: H04N19/50 ,  H04N13/161 ,  H04N19/105 ,  H04N19/176 ,  H04N19/30 ,  H04N19/56 ,  H04N19/597 ,  H04N2013/0081 ,  H04N2013/0085

    Abstract: Videos of a scene are processed for view synthesis. The videos are acquired by corresponding cameras arranged so that a view of each camera overlaps with the view of at least one other camera. For each current block, motion or disparity vector is obtained from neighboring blocks. A depth block is based on a corresponding reference depth image and the motion or disparity vector. A prediction block is generated based on the depth block using backward warping of a motion field. Then, predictive coding for the current block using the prediction block. Backward mapping can also be performed in the spatial domain.

    Abstract translation: 处理场景的视频进行视图合成。 这些视频是通过相应的摄像机来获取的，所述摄像机布置成使得每个照相机的视图与至少一个其它摄像机的视图重叠。 对于每个当前块，从相邻块获得运动或视差向量。 深度块基于相应的参考深度图像和运动或视差矢量。 基于使用运动场的反向翘曲的深度块来生成预测块。 然后，使用预测块对当前块进行预测编码。 还可以在空间域中执行向后映射。

    Methods and systems for fast resampling method and apparatus for point cloud data
    10.
    发明授权
    Methods and systems for fast resampling method and apparatus for point cloud data 有权

    公开(公告)号：US10229533B2

    公开(公告)日：2019-03-12

    申请号：US15358346

    申请日：2016-11-22

    Applicant: Mitsubishi Electric Research Laboratories, Inc.

    Inventor： Dong Tian ,  Siheng Chen ,  Chen Feng ,  Anthony Vetro

    IPC: G06T17/10 ,  G06T17/20 ,  G06T7/521 ,  G06T7/13 ,  G06F17/10 ,  G06K9/00 ,  G06T15/08 ,  G06T17/00

    Abstract: Systems and methods for determining a pattern in time series data representing an operation of a machine. A memory to store and provide a set of training data examples generated by a sensor of the machine, wherein each training data example represents an operation of the machine for a period of time ending with a failure of the machine. A processor configured to iteratively partition each training data example into a normal region and an abnormal region, determine a predictive pattern absent from the normal regions and present in each abnormal region only once, and determine a length of the abnormal region. Outputting the predictive pattern via an output interface in communication with the processor or storing the predictive pattern in memory, wherein the predictive pattern is a predictive estimate of an impending failure and assists in management of the machine.

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