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公开(公告)号：US20180122053A1
公开(公告)日：2018-05-03
申请号：US15342041
申请日：2016-11-02
Applicant: Adobe Systems Incorporated
Inventor： Scott D. Cohen , Brian L. Price
CPC classification number: G06T7/90 , G06T11/001 , G06T2207/10024
Abstract: Techniques and systems are described to recolor a group of images for color consistency. Techniques include extracting color palettes for images of the group of images and generating a group theme color palette based on the color palettes for the images. Image color palettes are then mapped to the group theme color palette and the images are modified in response to the mapping. In some examples, the mapping includes discouraging multiple colors of a single color palette from mapping to a single color of the group theme color palette. Additionally, or alternatively, the mapping includes discouraging a forced mapping of a dissimilar color of an image color palette from mapping to the group theme color palette.
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公开(公告)号：US20170220230A1
公开(公告)日：2017-08-03
申请号：US15014765
申请日：2016-02-03
Applicant: Adobe Systems Incorporated
Inventor： Brian L. Price , Scott D. Cohen , Jie Feng
IPC: G06F3/0484 , G06T11/60
CPC classification number: G06F3/04845 , G06T7/10 , G06T7/11 , G06T7/143 , G06T7/194 , G06T7/215 , G06T11/001 , G06T11/60 , G06T2200/24
Abstract: User input-based object selection using multiple visual cues is described. User selection input is received for selecting a portion of an image. Once the user selection input is received, one of a plurality of visual cues that convey different information about content depicted in the image is selected for each pixel. The one visual cue is selected as a basis for identifying the pixel as part of the selected portion of the image or part of an unselected remainder of the image. The visual cues are selected by determining confidences, based in part on the user selection input, that the plurality of visual cues can be used to discriminate whether the pixel is part of the selected portion or part of the remainder. The information conveyed by the selected visual cues is used to identify the pixels as part of the selected portion or part of the remainder.
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公开(公告)号：US20170132498A1
公开(公告)日：2017-05-11
申请号：US14978421
申请日：2015-12-22
Applicant: Adobe Systems Incorporated
Inventor： Scott D. Cohen , Walter Wei-Tuh Chang , Brian L. Price , Mohamed Hamdy Mahmoud Abdelbaky Elhoseiny
CPC classification number: G06F17/2785 , G06K9/4685 , G06K9/6232 , G06N3/0427 , G06N3/0445 , G06N3/0454 , G06N3/08 , G06N5/022
Abstract: Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.
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公开(公告)号：US20170131877A1
公开(公告)日：2017-05-11
申请号：US14938660
申请日：2015-11-11
Applicant: Adobe Systems Incorporated
Inventor： Zeke Koch , Gavin Stuart Peter Miller , Jonathan W. Brandt , Nathan A. Carr , Radomir Mech , Walter Wei-Tuh Chang , Scott D. Cohen , Hailin Jin
CPC classification number: H04L67/1074 , G06F21/10 , G06F21/6218 , G06Q20/1235 , G06T11/001 , G06T11/60 , G06T2200/24
Abstract: Content creation and sharing integration techniques and systems are described. In one or more implementations, techniques are described in which modifiable versions of content (e.g., images) are created and shared via a content sharing service such that image creation functionality used to create the images is preserved to permit continued creation using this functionality. In one or more additional implementations, image creation functionality employed by a creative professional to create content is leveraged to locate similar images from a content sharing service.
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公开(公告)号：US20160350930A1
公开(公告)日：2016-12-01
申请号：US14724660
申请日：2015-05-28
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Scott D. Cohen , Peng Wang , Xiaohui Shen , Brian L. Price
CPC classification number: G06K9/66 , G06K9/00664 , G06K9/4628 , G06K9/6272 , G06T7/50 , G06T2207/20081
Abstract: Joint depth estimation and semantic labeling techniques usable for processing of a single image are described. In one or more implementations, global semantic and depth layouts are estimated of a scene of the image through machine learning by the one or more computing devices. Local semantic and depth layouts are also estimated for respective ones of a plurality of segments of the scene of the image through machine learning by the one or more computing devices. The estimated global semantic and depth layouts are merged with the local semantic and depth layouts by the one or more computing devices to semantically label and assign a depth value to individual pixels in the image.
Abstract translation: 描述了可用于处理单个图像的联合深度估计和语义标注技术。 在一个或多个实现中，通过一个或多个计算设备的机器学习来估计图像的场景的全局语义和深度布局。 还通过一个或多个计算设备的机器学习来估计图像场景的多个片段中的各个片段的局部语义和深度布局。 估计的全局语义和深度布局由一个或多个计算设备与本地语义和深度布局合并，以语义地标记并分配图像中的各个像素的深度值。
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Patent Agency Ranking
公开(公告)号：US09311690B2
公开(公告)日：2016-04-12
申请号：US14205027
申请日：2014-03-11
Applicant: Adobe Systems Incorporated
Inventor： Hailin Jin , Zhuoyuan Chen , Scott D. Cohen , Jianchao Yang , Zhe Lin
CPC classification number: H04N5/21 , G06T3/4053 , G06T3/4076 , G06T5/002 , G06T5/003 , G06T5/20 , G06T5/50 , G06T7/269 , G06T2207/10016 , G06T2207/20021 , G06T2207/20032 , G06T2207/20182 , G06T2207/20201 , H04N5/144 , H04N5/145 , H04N5/147
Abstract: In techniques for video denoising using optical flow, image frames of video content include noise that corrupts the video content. A reference frame is selected, and matching patches to an image patch in the reference frame are determined from within the reference frame. A noise estimate is computed for previous and subsequent image frames relative to the reference frame. The noise estimate for an image frame is computed based on optical flow, and is usable to determine a contribution of similar motion patches to denoise the image patch in the reference frame. The similar motion patches from the previous and subsequent image frames that correspond to the image patch in the reference frame are determined based on the optical flow computations. The image patch is denoised based on an average of the matching patches from reference frame and the similar motion patches determined from the previous and subsequent image frames.
Abstract translation: 在使用光流的视频去噪的技术中，视频内容的图像帧包括破坏视频内容的噪声。 选择参考帧，并且从参考帧内确定参考帧中的图像块的匹配补丁。 针对相对于参考帧的先前和后续图像帧计算噪声估计。 基于光流计算图像帧的噪声估计，并且可用于确定类似运动补丁对参考帧中的图像补丁进行去噪的贡献。 基于光流计算确定与参考帧中的图像块相对应的来自先前和后续图像帧的类似运动补丁。 基于来自参考帧的匹配补丁的平均值和从先前和后续图像帧确定的类似运动补丁，去除图像补丁。
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公开(公告)号：US09135710B2
公开(公告)日：2015-09-15
申请号：US13690755
申请日：2012-11-30
Applicant: Adobe Systems Incorporated
Inventor： Scott D. Cohen , Brian L. Price , Gowri Somanath
CPC classification number: G06T7/0075 , G01S17/023 , G01S17/89 , G06T7/593 , G06T2207/20212
Abstract: Depth map stereo correspondence techniques are described. In one or more implementations, a depth map generated through use of a depth sensor is leveraged as part of processing of stereo images to assist in identifying which parts of stereo images correspond to each other. For example, the depth map may be utilized to describe depth of an image scene which may be used as part of a stereo correspondence calculation. The depth map may also be utilized as part of a determination of a search range to be employed as part of the stereo correspondence calculation.
Abstract translation: 描述了深度图立体声对应技术。 在一个或多个实现中，通过使用深度传感器生成的深度图被用作立体图像的处理的一部分，以帮助识别立体图像的哪些部分彼此对应。 例如，深度图可以用于描述可以用作立体声对应计算的一部分的图像场景的深度。 深度图也可以用作确定要用作立体声对应计算的一部分的搜索范围的一部分。
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公开(公告)号：US09123138B2
公开(公告)日：2015-09-01
申请号：US13920911
申请日：2013-06-18
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Jianchao Yang , Scott D. Cohen
CPC classification number: G06T3/40 , G06T3/4076
Abstract: Image upscaling techniques are described. These techniques may include use of iterative and adjustment upscaling techniques to upscale an input image. A variety of functionality may be incorporated as part of these techniques, examples of which include content-adaptive patch finding techniques that may be employed to give preference to an in-place patch to minimize structure distortion. In another example, content metric techniques may be employed to assign weights for combining patches. In a further example, algorithm parameters may be adapted with respect to algorithm iterations, which may be performed to increase efficiency of computing device resource utilization and speed of performance. For instance, algorithm parameters may be adapted to enforce a minimum and/or maximum number to iterations, cease iterations for image sizes over a threshold amount, set sampling step sizes for patches, employ techniques based on color channels (which may include independence and joint processing techniques), and so on.
Abstract translation: 描述了图像升高技术。 这些技术可以包括使用迭代和调整放大技术来升高输入图像。 作为这些技术的一部分，可以并入各种功能，其示例包括可用于优先使用就地补丁以最小化结构失真的内容自适应补片发现技术。 在另一示例中，可以采用内容度量技术来分配用于组合补丁的权重。 在另一示例中，算法参数可以针对算法迭代进行调整，这可以被执行以提高计算设备资源利用率和性能的效率。 例如，算法参数可以适于对迭代执行最小和/或最大数量，停止针对阈值量的图像大小的迭代，设置用于补丁的采样步长，采用基于颜色通道的技术（其可以包括独立性和联合 处理技术）等。
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公开(公告)号：US09064318B2
公开(公告)日：2015-06-23
申请号：US13660159
申请日：2012-10-25
Applicant: Adobe Systems Incorporated
Inventor： Brian L. Price , Scott D. Cohen , Jacqueline L. Feild , Gavin Stuart Peter Miller
CPC classification number: G06T7/0081 , G06T7/11 , G06T7/194 , G06T2207/10024
Abstract: Image matting and alpha value techniques are described. In one or more implementations, techniques are described in which matting operations are applied to image data that is in a raw or substantially raw image format. This may be used to decompose image data into foreground and background images as well as to generate an alpha value that describes a linear combination of the foreground and background images for a respective pixel. Further, implementations are also described in which a plurality of alpha values is generated for each of a plurality of pixels. These alpha values may be utilized to support a variety of different functionality, such as matting operations and so on.
Abstract translation: 描述了图像消光和α值技术。 在一个或多个实现中，描述了将消光操作应用于处于原始或基本上原始图像格式的图像数据的技术。 这可以用于将图像数据分解成前景和背景图像，以及生成描述相应像素的前景和背景图像的线性组合的α值。 此外，还描述了为多个像素中的每一个生成多个α值的实现。 这些α值可用于支持各种不同的功能，例如消光操作等等。
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50.发明授权公开(公告)号：US08873835B2
公开(公告)日：2014-10-28
申请号：US13675905
申请日：2012-11-13
Applicant: Adobe Systems Incorporated
Inventor： Paul Asente , Scott D. Cohen , Brian L. Price , Lesley Ann Northam
CPC classification number: G06K9/46 , G06K9/00208 , G06K9/342 , G06K9/6284 , G06T7/11 , G06T7/174 , G06T2207/10012
Abstract: Methods and apparatus for disparity map correction through statistical analysis on local neighborhoods. A disparity map correction technique may be used to correct mistakes in a disparity or depth map. The disparity map correction technique may detect and mark invalid pixel pairs in a disparity map, segment the image, and perform a statistical analysis of the disparities in each segment to identify outliers. The invalid and outlier pixels may then be corrected using other disparity values in the local neighborhood. Multiple iterations of the disparity map correction technique may be performed to further improve the output disparity map.
Abstract translation: 通过对当地社区进行统计分析的视差图校正方法和装置。 视差图校正技术可用于纠正视差或深度图中的错误。 视差图校正技术可以检测和标记视差图中的无效像素对，对图像进行分段，并对每个段中的差异进行统计分析以识别异常值。 然后可以使用本地邻域中的其他视差值来校正无效和异常值像素。 可以执行视差图校正技术的多次迭代以进一步改善输出视差图。
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