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    Methods and systems for processing a video for stabilization using dynamic crop
    1.
    发明授权
    Methods and systems for processing a video for stabilization using dynamic crop 有权
    使用动态作物处理视频以进行稳定的方法和系统

    公开(公告)号：US09554043B2

    公开(公告)日：2017-01-24

    申请号：US14332244

    申请日：2014-07-15

    Applicant: Google Inc.

    Inventor： Matthias Grundmann ,  Vivek Kwatra ,  Irfan Essa

    IPC: H04N5/232

    CPC classification number: H04N5/23264 ,  H04N5/23254 ,  H04N5/23261 ,  H04N5/23267

    Abstract: Methods and systems for processing a video for stabilization are described. A recorded video may be stabilized by removing at least a portion of shake introduced in the video. An original camera path for a camera used to record the video may be determined. A crop window size may be selected, a crop window transform may accordingly be determined, and the crop window transform may be applied to the original video to provide a modified video from a viewpoint of the modified motion camera path.

    Abstract translation: 描述用于处理用于稳定的视频的方法和系统。 可以通过去除视频中引入的至少一部分抖动来稳定记录的视频。 可以确定用于记录视频的相机的原始相机路径。 可以选择裁剪窗口尺寸，因此可以确定裁剪窗口变换，并且可以将裁剪窗口变换应用于原始视频，以从修改的运动摄像机路径的视点提供修改的视频。

    System and method for grouping related photographs
    2.
    发明授权
    System and method for grouping related photographs 有权
    用于分组相关照片的系统和方法

    公开(公告)号：US09311310B2

    公开(公告)日：2016-04-12

    申请号：US13661425

    申请日：2012-10-26

    Applicant: GOOGLE INC.

    Inventor： Sergey Ioffe ,  Vivek Kwatra ,  Matthias Grundmann

    IPC: G09G5/00 ,  G06F17/30

    CPC classification number: G06F3/0481 ,  G06F17/30056 ,  G06F17/30265

    Abstract: A computer-implemented method, computer program product, and computing system is provided for interacting with images having similar content. In an embodiment, a method may include identifying a plurality of photographs as including a common characteristic. The method may also include generating a flipbook media item including the plurality of photographs. The method may further include associating one or more interactive control features with the flipbook media item.

    Abstract translation: 提供了计算机实现的方法，计算机程序产品和计算系统，用于与具有相似内容的图像进行交互。 在一个实施例中，方法可以包括将多个照片识别为包括共同特征。 该方法还可以包括生成包括多张照片的翻页媒体项目。 该方法可以进一步包括将一个或多个交互式控制特征与翻录媒体项目相关联。

    Image denoising system and method
    4.
    发明授权
    Image denoising system and method 有权
    图像去噪系统和方法

    公开(公告)号：US08977012B2

    公开(公告)日：2015-03-10

    申请号：US13665449

    申请日：2012-10-31

    Applicant: Google Inc.

    Inventor： Sergey Ioffe ,  Troy Chinen ,  Vivek Kwatra ,  Hui Fang ,  Yichang Shih

    IPC: G06K9/00 ,  G06K9/40

    CPC classification number: G06T5/002 ,  G06K9/00221 ,  G06K9/00261 ,  G06K9/40 ,  G06T5/005 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10004 ,  G06T2207/10016 ,  G06T2207/20028 ,  G06T2207/20182 ,  G06T2207/20216 ,  G06T2207/30201

    Abstract: A method, computer program product, and computer system for identifying a first portion of a facial image in a first image, wherein the first portion includes noise. A corresponding portion of the facial image is identified in a second image, wherein the corresponding portion includes less noise than the first portion. One or more filter parameters of the first portion are determined based upon, at least in part, the first portion and the corresponding portion. At least a portion of the noise from the first portion is smoothed based upon, at least in part, the one or more filter parameters. At least a portion of face specific details from the corresponding portion is added to the first portion.

    Abstract translation: 一种用于识别第一图像中的面部图像的第一部分的方法，计算机程序产品和计算机系统，其中所述第一部分包括噪声。 面部图像的相应部分在第二图像中被识别，其中对应部分包括比第一部分少的噪声。 至少部分地基于第一部分和对应部分来确定第一部分的一个或多个过滤器参数。 至少部分地基于一个或多个过滤器参数来平滑来自第一部分的噪声的至少一部分。 来自相应部分的面部特定细节的至少一部分被添加到第一部分。

    Spatio-temporal segmentation for video
    5.
    发明授权
    Spatio-temporal segmentation for video 有权
    视频的时空分割

    公开(公告)号：US08965124B1

    公开(公告)日：2015-02-24

    申请号：US13972806

    申请日：2013-08-21

    Applicant: Google Inc.

    Inventor： Vivek Kwatra ,  Mei Han ,  Matthias Grundmann

    IPC: G06K9/34 ,  H04N5/91

    CPC classification number: H04N5/91 ,  G06K9/00765

    Abstract: A video is segmented to produce volumetric video regions. Descriptors are created for the video regions. A region graph is created for the video, where the region graph has weighted edges incident to video regions and the weight of an edge is calculated responsive to the descriptors of the video regions incident to the edge. The region graph is segmented responsive to the weights of the edges incident to the video regions to produce a new region graph having new volumetric video regions comprised of merged video regions of the first region graph. The descriptions of the region graphs are stored in a data storage.

    Abstract translation: 视频被分割以产生体积视频区域。 为视频区域创建描述符。 为视频创建区域图，其中区域图具有入射到视频区域的加权边缘，并且响应于入射到边缘的视频区域的描述符来计算边缘的权重。 响应于入射到视频区域的边缘的权重来对区域图进行分段，以产生具有由第一区域图形的合并视频区域组成的新的体积视频区域的新区域图。 区域图的描述存储在数据存储器中。

    SYSTEM AND METHOD FOR GROUPING RELATED PHOTOGRAPHS
    6.
    发明申请
    SYSTEM AND METHOD FOR GROUPING RELATED PHOTOGRAPHS 有权
    用于分组相关摄影的系统和方法

    公开(公告)号：US20140118390A1

    公开(公告)日：2014-05-01

    申请号：US13661425

    申请日：2012-10-26

    Applicant: GOOGLE INC.

    Inventor： Sergey Ioffe ,  Vivek Kwatra ,  Matthias Grundmann

    IPC: G09G5/00

    CPC classification number: G06F3/0481 ,  G06F17/30056 ,  G06F17/30265

    Abstract: A computer-implemented method, computer program product, and computing system is provided for interacting with images having similar content. In an embodiment, a method may include identifying a plurality of photographs as including a common characteristic. The method may also include generating a flipbook media item including the plurality of photographs. The method may further include associating one or more interactive control features with the flipbook media item.

    Abstract translation: 提供了计算机实现的方法，计算机程序产品和计算系统，用于与具有相似内容的图像进行交互。 在一个实施例中，方法可以包括将多个照片识别为包括共同特征。 该方法还可以包括生成包括多张照片的翻页媒体项目。 该方法可以进一步包括将一个或多个交互式控制特征与翻录媒体项目相关联。

    Generating photo animations
    9.
    发明授权
    Generating photo animations 有权
    生成照片动画

    公开(公告)号：US09286710B2

    公开(公告)日：2016-03-15

    申请号：US13894198

    申请日：2013-05-14

    Applicant: Google Inc.

    Inventor： Erik Murphy-Chutorian ,  Josh Wills ,  Nicholas Butko ,  Matthew Steiner ,  Vivek Kwatra ,  Dave Cohen

    IPC: G06T13/80 ,  G06T7/00

    CPC classification number: G06T13/80 ,  G06T7/97

    Abstract: Implementations generally relate to generating photo animations. In some implementations, a method includes receives a plurality of photos from a user. The method also includes selecting photos from the plurality of photos that meet one or more predetermined similarity criteria. The method also includes generating an animation using the selected photos.

    Abstract translation: 实现通常涉及生成照片动画。 在一些实现中，一种方法包括从用户接收多张照片。 该方法还包括从满足一个或多个预定相似性标准的多个照片中选择照片。 该方法还包括使用所选择的照片生成动画。

    Models for predicting similarity between exemplars
    10.
    发明授权
    Models for predicting similarity between exemplars 有权
    用于预测样本之间的相似性的模型

    公开(公告)号：US09137529B1

    公开(公告)日：2015-09-15

    申请号：US14208352

    申请日：2014-03-13

    Applicant: Google Inc.

    Inventor： Michele Covell ,  Mei Han ,  Saurabh Mathur ,  Shumeet Baluja ,  Vivek Kwatra

    IPC: G06F15/18 ,  H04N19/105 ,  H04N19/17 ,  H04N19/189

    CPC classification number: G06K9/6202 ,  G06F17/30247 ,  G06K9/00684 ,  G06K9/4604 ,  G06K9/6267 ,  G06K9/6292 ,  G06K9/66 ,  G06T1/0021 ,  H04N19/105 ,  H04N19/17 ,  H04N19/189

    Abstract: An exemplar dictionary is built from exemplars of digital content for determining predictor blocks for encoding and decoding digital content. The exemplar dictionary organizes the exemplars as clusters of similar exemplars. Each cluster is mapped to a label. Machine learning techniques are used to generate a prediction model for predicting a label for an exemplar. The prediction model can be a hashing function that generates a hash key corresponding to the label for an exemplar. The prediction model learns from a training set based on the mapping from clusters to labels. A new mapping is obtained that improves a measure of association between clusters and labels. The new mapping is used to generate a new prediction model. This process is repeated in order to iteratively refine the machine learning modes generated.

    Abstract translation: 由数字内容的示例构建示范字典，用于确定用于对数字内容进行编码和解码的预测器块。 示范字典将样本组织成类似样本的集群。 每个集群映射到一个标签。 机器学习技术用于生成用于预测样本的标签的预测模型。 预测模型可以是哈希函数，其生成与样本的标签相对应的散列密钥。 基于从集群到标签的映射，预测模型从训练集学习。 获得了一种新的映射，改进了集群和标签之间的关联度量。 新映射用于生成新的预测模型。 重复该过程以便迭代地改进所生成的机器学习模式。

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