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    • 41. 发明授权
    • Object classification using image segmentation
    • 使用图像分割的对象分类
    • US07440586B2
    • 2008-10-21
    • US10898379
    • 2004-07-23
    • Shmuel Avidan
    • Shmuel Avidan
    • G06K9/00
    • G06K9/00248G06K9/4609
    • A method represents a class of objects by first acquiring a set of positive training images of the class of objects. A matrix A is constructed from the set of positive training images. Each row in the matrix A corresponds to a vector of intensities of pixels of one positive training image. Correlated intensities are grouped into a set of segments of a feature mask image. Each segment includes a set of pixels with correlated intensities. From each segment, a subset of representative pixels is selected. A set of features is assigned to each pixel in each subset of representative pixels of each segment of the feature mask image to represent the class of objects.
    • 一种方法通过首先获取一组对象的正训练图像来表示一类对象。 矩阵A由一组正训练图像构成。 矩阵A中的每一行对应于一个正训练图像的像素强度向量。 相关强度被分组成特征掩模图像的一组段。 每个段包括一组具有相关强度的像素。 从每个片段,选择代表像素的子集。 一组特征被分配给特征掩模图像的每个段的代表像素的每个子集中的每个像素以表示对象的类别。
    • 42. 发明授权
    • Video matting using camera arrays
    • 使用相机阵列的视频消光
    • US07420590B2
    • 2008-09-02
    • US11388499
    • 2006-03-24
    • Wojciech MatusikShmuel Avidan
    • Wojciech MatusikShmuel Avidan
    • H04N7/18
    • H04N5/272H04N5/2226
    • A method and system for determining an alpha matte for a video is presented. A set of videos is acquired by an array of cameras. A centrally located camera in the array is designated as a reference camera and acquires a reference video. A foreground depth plane is selected from the set of videos. A trimap is determined from variances of pixel intensities in each image. Variances of the intensities of pixels labeled as background and pixels labeled as foreground are extrapolated to the pixels labeled as unknown in the trimap. Means of the intensities of the pixels labeled as background are extrapolated to the pixels labeled as unknown to determine an alpha matte for the reference video.
    • 提出了一种用于确定视频的Alpha哑光的方法和系统。 一组相机获得一组视频。 将阵列中心位置的相机指定为参考相机并获取参考视频。 从视频集中选择前景深度平面。 由每个图像中的像素强度的方差确定微分。 标记为背景的像素的强度和标记为前景的像素的差异被外推到在trimap中标记为未知的像素。 标记为背景的像素的强度的方式被外推到标记为未知的像素,以确定参考视频的α无光泽。
    • 43. 发明授权
    • Method for secure background modeling in images
    • 图像中安全背景建模的方法
    • US07372975B2
    • 2008-05-13
    • US11005574
    • 2004-12-06
    • Shmuel AvidanMoshe ButmanAyelet Butman
    • Shmuel AvidanMoshe ButmanAyelet Butman
    • G06K9/00
    • H04K1/00
    • A method processes a sequence of input images securely. A sequence of input images are acquired in a client. Pixels in each input image are permuted randomly according to a permutation π to generate a permuted image for each input image. Each permuted image is transferred to a server, which maintains a background image from the permuted images. In the server, each permuted image is combined with the background image to generate a corresponding permuted motion image for each permuted image. Each permuted motion image is transferred to the client and the pixels in each permuted motion image are reordered according to an inverse permutation π−1 to recover a corresponding motion image for each input image.
    • 一种方法可以安全地处理一系列输入图像。 在客户端中获取输入图像序列。 每个输入图像中的像素根据置换pi随机排列,以产生每个输入图像的置换图像。 每个置换的图像被传送到服务器,该服务器保持来自置换的图像的背景图像。 在服务器中,将每个置换的图像与背景图像组合以产生每个置换的图像的相应的置换运动图像。 将每个置换的运动图像传送到客户端,并且根据逆置换pi -1 重新排序每个置换运动图像中的像素,以恢复每个输入图像的相应运动图像。
    • 47. 发明授权
    • Clustering techniques for large, high-dimensionality data sets
    • 大型,高维数据集的聚类技术
    • US08363961B1
    • 2013-01-29
    • US12395295
    • 2009-02-27
    • Shmuel AvidanLior Shapira
    • Shmuel AvidanLior Shapira
    • G06K9/62
    • G06K9/6218
    • A clustering method for high-dimensionality data includes identifying a set of nearest neighbors of a point in a multidimensional space and determining the centroid of the set of nearest neighbors, where the centroid is a member of the set of nearest neighbors. The method is then repeated using the neighbors identified around the computed centroid. In one embodiment, the method may terminate when the computed centroid becomes stationary over successive iterations. The resulting centroid may be returned as a mode of the data set. Points of the data set having common modes may be assigned to the same cluster.
    • 用于高维度数据的聚类方法包括识别多维空间中的点的一组最近邻,并确定最近邻居集合的质心,其中质心是最近邻居集合的成员。 然后使用在计算的质心周围识别的邻居重复该方法。 在一个实施例中,当所计算的质心在连续迭代中变得平稳时,该方法可以终止。 所得到的质心可以作为数据集的模式返回。 具有共同模式的数据集的点可以分配给相同的集群。
    • 48. 发明授权
    • Candidate pruning for patch transforms
    • 候补修剪补丁变换
    • US08340463B1
    • 2012-12-25
    • US12324319
    • 2008-11-26
    • Taeg Sang ChoShmuel AvidanWilliam T. Freeman
    • Taeg Sang ChoShmuel AvidanWilliam T. Freeman
    • G06K9/36
    • G06T5/005G06K9/6297G06T11/60G06T2207/20021
    • Systems and methods for performing image editing operations may divide an input image into overlapping patches and assign those patches to locations in a reconstructed output image such that visual artifacts are minimized. The methods may use belief propagation to compute a joint probability for the assignment of active patch labels to output image nodes. The computation may include an exclusivity term, steering the solution such that each patch is preferably only used once in the output image. The methods may include a pre-computation of a pruned list of candidate patches for placing next to each patch in the output image, dependent on local evidence (e.g., color, intensity, or user-driven placement) for each patch. The pre-computation may include determining groupings of patches, each forming a highly compatible loop of neighboring patches for a given candidate patch. The methods may be implemented as program instructions executable by a CPU and/or GPU.
    • 用于执行图像编辑操作的系统和方法可以将输入图像划分成重叠的片段,并将这些片段分配给重建的输出图像中的位置,使得视觉伪影最小化。 这些方法可以使用信念传播来计算用于将活动补丁标签分配给输出图像节点的联合概率。 计算可以包括排他性术语,指导解决方案,使得每个贴片优选地仅在输出图像中使用一次。 这些方法可以包括根据每个贴片的本地证据(例如,颜色,强度或用户驱动的放置),预先计算用于在输出图像中的每个贴片旁边放置的候选贴片的修剪列表。 预计算可以包括确定贴片的分组,每个贴片形成用于给定候选贴片的相邻贴片的高度兼容的循环。 这些方法可以被实现为可由CPU和/或GPU执行的程序指令。
    • 49. 发明授权
    • Patch jittering for visual artifact correction
    • 用于视觉伪影校正的贴片抖动
    • US08233739B1
    • 2012-07-31
    • US12324274
    • 2008-11-26
    • Taeg Sang ChoShmuel AvidanWilliam T. Freeman
    • Taeg Sang ChoShmuel AvidanWilliam T. Freeman
    • G06K9/36
    • G06T11/60
    • Systems and methods for performing image editing operations may use patch transforms and inverse patch transforms to reconstruct output images from input images and to refine them using patch jittering such that visual artifacts are repaired. The methods may include generating one or more jittered versions of patch(es) initially assigned to nodes of the output image and using them as candidate patches for a refined image. Jittered versions of patches may be shifted by a small number of pixels in one or more directions. The number of jittered versions and amount of jittering exhibited by each may be configurable (e.g., programmatically or by a user) and/or may be dependent on the amount of overlap between the patches. Belief propagation may be used to replace patches in the output image with jittered versions in the refined image. The methods may be implemented as program instructions executable on a CPU and/or GPU.
    • 用于执行图像编辑操作的系统和方法可以使用补丁变换和逆补丁变换来从输入图像重建输出图像,并且使用补丁抖动来对它们进行细化,从而修复视觉伪影。 所述方法可以包括生成最初分配给输出图像的节点的贴片的一个或多个抖动版本,并将它们用作精细图像的候选补片。 补丁版本的抖动可能在一个或多个方向上移动少量像素。 抖动版本的数量和每个抖动的数量可以是可配置的(例如,以编程方式或由用户)和/或可以依赖于补丁之间的重叠量。 信念传播可用于在精细图像中用抖动版本替换输出图像中的斑块。 该方法可以被实现为可在CPU和/或GPU上执行的程序指令。