Providing color corrections to photos
    11.
    发明授权
    Providing color corrections to photos 有权
    为照片提供颜色校正

    公开(公告)号:US09251567B1

    公开(公告)日:2016-02-02

    申请号:US14209253

    申请日:2014-03-13

    Applicant: Google Inc.

    Abstract: Implementations generally relate to color corrections to photos. In some implementations, a method includes determining a face profile from a plurality of photos of a face. The method further includes receiving a target photo of the face. The method further includes matching the face in the target photo with the face in the plurality of photos. The method further includes performing one or more color adjustments to the face in the target photo based on the face profile.

    Abstract translation: 实施通常涉及对照片的颜色校正。 在一些实现中,一种方法包括从面部的多张照片中确定脸部轮廓。 该方法还包括接收面部的目标照片。 该方法还包括将目标照片中的脸部与多张照片中的脸部相匹配。 该方法还包括基于面部轮廓对目标照片中的面部执行一个或多个颜色调整。

    DETECTING EXPOSURE QUALITY IN IMAGES
    12.
    发明申请
    DETECTING EXPOSURE QUALITY IN IMAGES 有权
    检测图像中的接触质量

    公开(公告)号:US20150139510A1

    公开(公告)日:2015-05-21

    申请号:US14516857

    申请日:2014-10-17

    Applicant: Google Inc.

    Abstract: Systems, methods and computer readable media for exposure quality detection are described. In some implementations, a method can include computing an overall image exposure score for an image. The method can also include determining one or more face regions in the image. The method can further include computing a face region exposure score for each face region. The method can also include combining the overall image exposure score and each face region exposure score to generate an exposure quality score for the image.

    Abstract translation: 描述了用于曝光质量检测的系统,方法和计算机可读介质。 在一些实现中,一种方法可以包括计算图像的整体图像曝光分数。 该方法还可以包括确定图像中的一个或多个面部区域。 该方法还可以包括计算每个面部区域的面部区域曝光得分。 该方法还可以包括整合图像曝光得分和每个面部区域曝光得分以产生图像的曝光质量分数。

    Video Stitching System and Method
    13.
    发明申请
    Video Stitching System and Method 有权
    视频拼接系统和方法

    公开(公告)号:US20150092109A1

    公开(公告)日:2015-04-02

    申请号:US14562389

    申请日:2014-12-05

    Applicant: Google Inc.

    Abstract: A method and computing system for receiving a first video file containing a first plurality of video frames. A second video file containing a second plurality of video frames is received. The video files are processed to identify at least one non-graphical temporal alignment object included in each of the video files. The video files are temporally aligned using the at least one non-graphical temporal alignment object to produce temporally-aligned video files.

    Abstract translation: 一种用于接收包含第一多个视频帧的第一视频文件的方法和计算系统。 接收包含第二多个视频帧的第二视频文件。 视频文件被处理以识别包括在每个视频文件中的至少一个非图形时间对准对象。 视频文件使用至少一个非图形时间对准对象在时间上对准以产生时间对齐的视频文件。

    Image masks for face-related selection and processing in images
    14.
    发明授权
    Image masks for face-related selection and processing in images 有权
    用于面部相关选择和图像处理的图像蒙版

    公开(公告)号:US08983152B2

    公开(公告)日:2015-03-17

    申请号:US13894384

    申请日:2013-05-14

    Applicant: Google Inc.

    Abstract: In some implementations, a method includes identifying one or more face regions of an image, the face regions including pixels that depict at least a portion of one or more faces of persons. The face regions are identified based on identifying facial landmarks of the faces. The method determines an associated face mask for each of the faces based on the face regions, where each face mask indicates which pixels in the image depict the corresponding face. Face pixels can be selected for processing by applying the face masks, and image pixels outside the faces can be selected by inversely applying the face masks. The selected pixels can be provided to a processing operation for adjustment of the selected pixels.

    Abstract translation: 在一些实现中,一种方法包括识别图像的一个或多个面部区域,所述面部区域包括描绘人的一个或多个面部的至少一部分的像素。 基于识别面部的面部标志来识别面部区域。 该方法基于面部区域确定每个面部的相关面罩,其中每个面罩指示图像中的哪些像素描绘对应的面部。 可以通过应用面罩来选择面部像素进行处理,并且可以通过反面应用面罩来选择面部之外的图像像素。 可以将所选择的像素提供给用于调整所选像素的处理操作。

    Image color cast correction using groups of pixels
    15.
    发明授权
    Image color cast correction using groups of pixels 有权
    使用像素组的图像颜色调整校正

    公开(公告)号:US08958640B1

    公开(公告)日:2015-02-17

    申请号:US13933075

    申请日:2013-07-01

    Applicant: Google Inc.

    CPC classification number: H04N9/73

    Abstract: In some implementations, a method provides color correction in images and includes determining multiple input groups of pixels of an image based on one or more pixel attributes of the pixels. Each of the input groups includes different pixels of the image than the other input groups. The method determines an individual neutral color associated with each of the input groups of pixels based on the colors of the pixels in the associated input group. An individual color correction associated with each of a number of output groups of pixels is determined based on one or more neutral colors associated with the input groups. The method applies each individual color correction to its associated output group of pixels, including adjusting the color of pixels in each output group to reduce color casts on the pixels.

    Abstract translation: 在一些实现中,方法提供图像中的颜色校正,并且包括基于像素的一个或多个像素属性来确定图像的多个像素的输入组。 每个输入组包括与其他输入组不同的图像像素。 该方法基于相关联的输入组中的像素的颜色来确定与每个输入像素组相关联的单个中性色。 基于与输入组相关联的一个或多个中性颜色来确定与多个输出像素组中的每一个相关联的单独颜色校正。 该方法将每个单独的颜色校正应用于其相关联的输出像素组,包括调整每个输出组中的像素的颜色以减少像素上的色偏。

    Editing options for image regions
    16.
    发明授权

    公开(公告)号:US10114532B2

    公开(公告)日:2018-10-30

    申请号:US14099797

    申请日:2013-12-06

    Applicant: Google Inc.

    Abstract: Implementations relate to editing options for image regions. Some implementations include detecting a region portion of an image based on one or more characteristics of pixels of the image. The detected region has an identified class selected from multiple identifiable classes, and each identifiable class is associated with a set of multiple editing options. Each editing option is associated with edit operation(s) operable to adjust value(s) of one or more image pixels. One of the sets of editing options is presented for selection, where the presented set is associated with the identified class of the detected region and each of the editing options in the presented set is operable to adjust value(s) of one or more pixels of the detected region. The presented set of editing options is different from at least one of the other sets of editing options associated with the other classes.

    Prioritized data transmission over networks

    公开(公告)号:US09886415B1

    公开(公告)日:2018-02-06

    申请号:US13947902

    申请日:2013-07-22

    Applicant: Google Inc.

    CPC classification number: G06F15/163 G06F17/30 H04N21/631 H04N21/84 H04N21/845

    Abstract: Implementations relate to prioritized data transmission features over networks. A method can include deriving description data from content data. The description data describes content of the content data and includes one or more portions corresponding to one or more portions of the content data. The description data is transmitted to a destination over a network to be made accessible over the network at the destination to one or more users. The content data also is transmitted to the destination to be made accessible. At least one portion of the description data finishes transmitting and is made accessible before its corresponding portion of the content information finishes transmitting and is made accessible.

    Monochromatic image determination
    18.
    发明授权
    Monochromatic image determination 有权
    单色图像确定

    公开(公告)号:US09430848B1

    公开(公告)日:2016-08-30

    申请号:US14475196

    申请日:2014-09-02

    Applicant: Google Inc.

    Abstract: Systems, methods and computer readable media for determination of monochromatic images are described. Some implementations can include a method. The method can include converting an image in a first colorspace to a first converted image in a second colorspace. The method can also include generating a hue histogram based on hue values in the converted image and determining a hue dispersion measure based on the hue histogram and a number of pixels in the image. The method can further include determining a hue clustering value based on the hue histogram and converting the image in the first colorspace into a second converted image in a third colorspace. The method can also include determining a variance measure based on the second converted image, and comparing the hue dispersion measure, the hue clustering value and the variance measure to a first threshold value, a second threshold value and a third threshold value, respectively.

    Abstract translation: 描述了用于确定单色图像的系统,方法和计算机可读介质。 一些实现可以包括一种方法。 该方法可以包括将第一颜色空间中的图像转换为第二颜色空间中的第一转换图像。 该方法还可以包括基于转换的图像中的色相值生成色调直方图,并且基于色相直方图和图像中的像素数量来确定色相分散度量度。 该方法还可以包括基于色调直方图确定色相聚类值,并将第一颜色空间中的图像转换为第三颜色空间中的第二转换图像。 该方法还可以包括基于第二转换图像确定方差度量,并且将色相色散测量值,色相聚类值和方差度量分别与第一阈值,第二阈值和第三阈值进行比较。

    IMAGE ADJUSTMENT USING TEXTURE MASK
    19.
    发明申请
    IMAGE ADJUSTMENT USING TEXTURE MASK 有权
    使用纹理面膜进行图像调整

    公开(公告)号:US20150178946A1

    公开(公告)日:2015-06-25

    申请号:US14575225

    申请日:2014-12-18

    Applicant: Google Inc.

    Abstract: Implementations relate to adjusting images using a texture mask. In some implementations, a method includes detecting one or more texture regions having detected texture in an image, and generating a mask from the image based on the detected texture regions. The detected texture regions are distinguished in the mask from other regions of the image that do not have detected texture. The method applies one or more adjustment operations to the image in amounts based on values of the mask.

    Abstract translation: 实现涉及使用纹理蒙版调整图像。 在一些实现中,一种方法包括检测在图像中具有检测到的纹理的一个或多个纹理区域,以及基于检测到的纹理区域从图像生成掩模。 检测到的纹理区域在掩模中与图像中没有检测到纹理的其他区域区分开。 该方法基于掩码的值将数量应用于图像的一个或多个调整操作。

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