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    Method and system for backward 3D-view synthesis prediction using neighboring blocks
    13.
    发明授权
    Method and system for backward 3D-view synthesis prediction using neighboring blocks 有权
    使用相邻块的后向3D视图合成预测的方法和系统

    公开(公告)号：US09264691B2

    公开(公告)日：2016-02-16

    申请号：US13631852

    申请日：2012-09-28

    Applicant: Mitsubishi Electric Research Laboratories, Inc.

    Inventor： Feng Zou ,  Dong Tian ,  Anthony Vetro

    IPC: H04N19/583 ,  H04N13/00 ,  H04N19/597

    CPC classification number: H04N13/161 ,  H04N13/111 ,  H04N19/105 ,  H04N19/30 ,  H04N19/56 ,  H04N19/597 ,  H04N13/0048

    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. Then, predictive coding for the current block using the prediction block.

    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。 基于使用向后翘曲的深度块生成预测块。 然后，使用预测块对当前块进行预测编码。

    Method for Graph Based Processing of Signals
    14.
    发明申请
    Method for Graph Based Processing of Signals 审中-公开
    基于图形处理信号的方法

    公开(公告)号：US20150317808A1

    公开(公告)日：2015-11-05

    申请号：US14269527

    申请日：2014-05-05

    Applicant: Mitsubishi Electric Research Laboratories, Inc.

    Inventor： Dong Tian ,  Hassan Mansour ,  Andrei Kniazev ,  Anthony Vetro

    IPC: G06T11/20

    CPC classification number: G06T5/002 ,  G06T11/206 ,  G06T2207/20072

    Abstract: A method processes a signal by first constructing a graph from the signal, and then determining a graph matrix from the graph and the signal. A Krylov-based subspace is determined based on the graph matrix and the signal. A filter for the Krylov subspace is determined. The filter transforms the signal to produce a filtered signal, which is output.

    Abstract translation: 一种方法是通过首先从信号中构建一个图形，然后从图形和信号中确定图形矩阵来处理信号。 基于Krylov的子空间是基于图表矩阵和信号确定的。 确定Krylov子空间的过滤器。 滤波器变换信号以产生滤波信号，该信号被输出。

    Disparity estimation for misaligned stereo image pairs
    15.
    发明授权
    Disparity estimation for misaligned stereo image pairs 有权
    未对齐立体图像对的视差估计

    公开(公告)号：US08867826B2

    公开(公告)日：2014-10-21

    申请号：US13684760

    申请日：2012-11-26

    Applicant: Mitsubishi Electric Research Laboratories, Inc.

    Inventor： Richard Rzeszutek ,  Dong Tian ,  Anthony Vetro

    IPC: G06K9/00 ,  G06T7/00

    CPC classification number: G06T7/0075 ,  G06K9/00 ,  G06T7/593 ,  G06T2207/10012 ,  G06T2207/20016

    Abstract: A disparity vector for a pixel in a right image corresponding to a pixel in a left image in a pair of stereo images is determined. The disparity vector is based on a horizontal disparity and a vertical disparity and the pair of stereo images is unrectified. First, a set of candidate horizontal disparities is determined. For each candidate horizontal disparity, a cost associated with a particular horizontal disparity and corresponding vertical disparities is determined. The vertical disparity associated with a first optimal cost is assigned to each candidate horizontal disparity, so that the candidate horizontal disparity and the vertical disparity yield a candidate disparity vector. Lastly, the candidate disparity vector with a second optimal cost is selected as the disparity vector of the pixel in the right image.

    Abstract translation: 确定对应于一对立体图像中的左图像中的像素的右图像中的像素的视差矢量。 视差矢量基于水平视差和垂直视差，并且立体图像对未被修正。 首先，确定一组候选水平差异。 对于每个候选水平差异，确定与特定水平差异和相应的垂直差异相关联的成本。 将与第一最佳成本相关联的垂直视差分配给每个候选水平视差，使得候选水平视差和垂直视差产生候选视差矢量。 最后，选择具有第二最佳成本的候选视差矢量作为右图像​​中的像素的视差矢量。

    Method and system for encoding collections of images and videos
    19.
    发明授权
    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：US09338461B2

    公开(公告)日：2016-05-10

    申请号：US13758348

    申请日：2013-02-04

    Applicant: Mitsubishi Electric Research Laboratories, Inc

    Inventor： Dong Tian ,  Anthony Vetro ,  Shantanu Rane

    IPC: H04N7/12 ,  H04N11/02 ,  H04N11/04 ,  H04N19/134 ,  H04N19/54 ,  H04N19/573

    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。

    Disparity Estimation for Misaligned Stereo Image Pairs
    20.
    发明申请
    Disparity Estimation for Misaligned Stereo Image Pairs 有权
    不对称立体声图像对的差距估计

    公开(公告)号：US20140147031A1

    公开(公告)日：2014-05-29

    申请号：US13684760

    申请日：2012-11-26

    Applicant: MITSUBISHI ELECTRIC RESEARCH LABORATORIES, INC.

    Inventor： Richard Rzeszutek ,  Dong Tian ,  Anthony Vetro

    IPC: G06T7/00

    CPC classification number: G06T7/0075 ,  G06K9/00 ,  G06T7/593 ,  G06T2207/10012 ,  G06T2207/20016

    Abstract: A disparity vector for a pixel in a right image corresponding to a pixel in a left image in a pair of stereo images is determined. The disparity vector is based on a horizontal disparity and a vertical disparity and the pair of stereo images is unrectified. First, a set of candidate horizontal disparities is determined. For each candidate horizontal disparity, a cost associated with a particular horizontal disparity and corresponding vertical disparities is determined. The vertical disparity associated with a first optimal cost is assigned to each candidate horizontal disparity, so that the candidate horizontal disparity and the vertical disparity yield a candidate disparity vector. Lastly, the candidate disparity vector with a second optimal cost is selected as the disparity vector of the pixel in the right image.

    Abstract translation: 确定对应于一对立体图像中的左图像中的像素的右图像中的像素的视差矢量。 视差矢量基于水平视差和垂直视差，并且立体图像对未被修正。 首先，确定一组候选水平差异。 对于每个候选水平差异，确定与特定水平差异和相应的垂直差异相关联的成本。 将与第一最佳成本相关联的垂直视差分配给每个候选水平视差，使得候选水平视差和垂直视差产生候选视差矢量。 最后，选择具有第二最佳成本的候选视差矢量作为右图像​​中的像素的视差矢量。

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