公开(公告)号：US20130136338A1

公开(公告)日：2013-05-30

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

IPC: G06K9/46

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。

公开(公告)号：US10175867B2

公开(公告)日：2019-01-08

申请号：US15014765

申请日：2016-02-03

Applicant: Adobe Systems Incorporated

Inventor： Brian L. Price ,  Scott D. Cohen ,  Jie Feng

IPC: G06T7/10 ,  G06F3/0484 ,  G06T11/60 ,  G06T7/215 ,  G06T7/143 ,  G06T7/11 ,  G06T7/194

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.

公开(公告)号：US10169549B2

公开(公告)日：2019-01-01

申请号：US15474679

申请日：2017-03-30

Applicant: Adobe Systems Incorporated

Inventor： Zhe Zhu ,  Scott D. Cohen ,  Brian L. Price

IPC: G06F21/00 ,  G06F21/10 ,  G06F3/0484 ,  G06N99/00 ,  G06Q30/06 ,  G06F17/30

Abstract: Techniques and systems are described to support digital image processing through use of an image repository, e.g., a stock image database or other storage. In one example, a plurality of candidate digital images are obtained from an image repository based on a target digital image. A plurality of transformations are generated to be applied to the target digital image, each transformation based on a respective candidate digital image. Semantic information is employed as part of the transformations, e.g., blending, filtering, or alignment. A plurality of transformed target digital images are generated based at least in part through application of the plurality of transformations to the target image.

公开(公告)号：US20180285535A1

公开(公告)日：2018-10-04

申请号：US15474679

申请日：2017-03-30

Applicant: Adobe Systems Incorporated

Inventor： Zhe Zhu ,  Scott D. Cohen ,  Brian L. Price

IPC: G06F21/10 ,  G06F3/0484 ,  G06N99/00 ,  G06Q30/06 ,  G06F17/30

CPC classification number: G06F21/10 ,  G06F3/04845 ,  G06F17/30657 ,  G06N99/005 ,  G06Q30/0601

Abstract: Techniques and systems are described to support digital image processing through use of an image repository, e.g., a stock image database or other storage. In one example, a plurality of candidate digital images are obtained from an image repository based on a target digital image. A plurality of transformations are generated to be applied to the target digital image, each transformation based on a respective candidate digital image. Semantic information is employed as part of the transformations, e.g., blending, filtering, or alignment. A plurality of transformed target digital images are generated based at least in part through application of the plurality of transformations to the target image.

公开(公告)号：US10055107B2

公开(公告)日：2018-08-21

申请号：US14853069

申请日：2015-09-14

Applicant: Adobe Systems Incorporated

Inventor： Brian L. Price ,  Ian D. Sachs

IPC: G06F3/0484 ,  G06T7/00

CPC classification number: G06F3/04845 ,  G06F3/04842 ,  G06T7/10 ,  G06T7/11 ,  G06T7/13 ,  G06T7/143 ,  G06T2207/10024 ,  G06T2207/20076 ,  G06T2207/20096

Abstract: Probabilistic determination of selected image portions is described. In one or more implementations, a selection input is received for selecting a portion of an image. For pixels of the image that correspond to the selection input, probabilities are determined that the pixels are intended to be included as part of a selected portion of the image. In particular, the probability that a given pixel is intended to be included as part of the selected portion of the image is determined as a function of position relative to center pixels of the selection input as well as a difference in one or more visual characteristics with the center pixels. The determined probabilities can then be used to segment the selected portion of the image from a remainder of the image. Based on the segmentation of the selected portion from the remainder of the image, selected portion data can be generated that defines the selected portion of the image.

公开(公告)号：US10019657B2

公开(公告)日：2018-07-10

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

IPC: G06K9/00 ,  G06K9/66 ,  G06T7/50 ,  G06K9/62 ,  G06K9/46

CPC classification number: G06K9/66 ,  G06K9/00664 ,  G06K9/4628 ,  G06K9/6272 ,  G06N3/0454 ,  G06N3/08 ,  G06N7/005 ,  G06N20/10 ,  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.

公开(公告)号：US20170132526A1

公开(公告)日：2017-05-11

申请号：US14978350

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

IPC: G06N99/00 ,  G06N7/00 ,  G06F17/27

CPC classification number: G06F17/2785 ,  G06N3/0454 ,  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.

公开(公告)号：US20170053412A1

公开(公告)日：2017-02-23

申请号：US14832328

申请日：2015-08-21

Applicant: Adobe Systems Incorporated

Inventor： Xiaohui Shen ,  Zhe Lin ,  Scott D. Cohen ,  Brian L. Price

IPC: G06T7/00 ,  G06K9/00

CPC classification number: G06T7/536 ,  G06K9/6264

Abstract: Image depth inference techniques and systems from semantic labels are described. In one or more implementations, a digital medium environment includes one or more computing devices to control a determination of depth within an image. Regions of the image are semantically labeled by the one or more computing devices. At least one of the semantically labeled regions is decomposed into a plurality of segments formed as planes generally perpendicular to a ground plane of the image. Depth of one or more of the plurality of segments is then inferred based on relationships of respective segments with respective locations of the ground plane of the image. A depth map is formed that describes depth for the at least one semantically labeled region based at least in part on the inferred depths for the one or more of the plurality of segments.

Abstract translation: 描述了来自语义标签的图像深度推理技术和系统。 在一个或多个实现中，数字媒体环境包括用于控制图像内的深度的确定的一个或多个计算设备。 图像的区域被一个或多个计算设备语义地标记。 至少一个语义标记的区域被分解成多个段，其形成为大致垂直于图像的接地平面的平面。 然后基于各个段与图像的接地平面的相应位置的关系来推断多个段中的一个或多个段的深度。 形成深度图，其至少部分地基于所述多个段中的一个或多个段的推断深度来描述所述至少一个语义标记区域的深度。

公开(公告)号：US09380286B2

公开(公告)日：2016-06-28

申请号：US13866632

申请日：2013-04-19

Applicant: Adobe Systems Incorporated

Inventor： Scott D. Cohen ,  Brian L. Price ,  Bryan Stuart Morse ,  Joel A. Howard

IPC: H04N13/00

CPC classification number: H04N13/111

Abstract: Stereoscopic target region filling techniques are described. Techniques are described in which stereo consistency is promoted between target regions, such as by sharing information during computation. Techniques are also described in which target regions of respective disparity maps are completed to promote consistency between the disparity maps. This estimated disparity may then be used as a guide to completion of a missing texture in the target region. Techniques are further described in which cross-image searching and matching is employed by leveraging a plurality of images. This may including giving preference to matches with cross-image consistency to promote consistency, thereby enforcing stereo consistency between stereo images when applicable.

Abstract translation: 描述了立体目标区填充技术。 描述了在目标区域之间促进立体一致性的技术，例如通过在计算期间共享信息。 还描述了其中完成各个视差图的目标区域以促进视差图之间的一致性的技术。 然后可以将该估计的差异用作在目标区域中完成缺失纹理的指导。 进一步描述了通过利用多个图像来采用跨图像搜索和匹配的技术。 这可能包括优先考虑与跨图像一致性的匹配以促进一致性，从而在适用时实现立体图像之间的立体一致性。

公开(公告)号：US20160104055A1

公开(公告)日：2016-04-14

申请号：US14511001

申请日：2014-10-09

Applicant: Adobe Systems Incorporated

Inventor： Zhe Lin ,  Radomir Mech ,  Xiaohui Shen ,  Brian L. Price ,  Jianming Zhang ,  Anant Gilra ,  Jen-Chan Jeff Chien

IPC: G06K9/46 ,  G06T3/40

CPC classification number: G06T3/40 ,  G06K9/4671 ,  G06T3/0012 ,  G06T11/60 ,  G06T2210/22

Abstract: Image cropping suggestion using multiple saliency maps is described. In one or more implementations, component scores, indicative of visual characteristics established for visually-pleasing croppings, are computed for candidate image croppings using multiple different saliency maps. The visual characteristics on which a candidate image cropping is scored may be indicative of its composition quality, an extent to which it preserves content appearing in the scene, and a simplicity of its boundary. Based on the component scores, the croppings may be ranked with regard to each of the visual characteristics. The rankings may be used to cluster the candidate croppings into groups of similar croppings, such that croppings in a group are different by less than a threshold amount and croppings in different groups are different by at least the threshold amount. Based on the clustering, croppings may then be chosen, e.g., to present them to a user for selection.

Abstract translation: 描述了使用多个显着图的图像裁剪建议。 在一个或多个实现中，针对使用多个不同显着图的候选图像裁剪计算指示为视觉上令人满意的裁剪而建立的视觉特征的分数分数。 评估候选图像裁剪的视觉特征可以指示其组成质量，其保存出现在场景中的内容的程度以及其边界的简单性。 基于分量分数，可以根据每个视觉特征来排列裁剪。 排名可以用于将候选作物聚类成类似的作物的组，使得组中的作物差异小于阈值量，并且不同组中的剪切至少达到阈值量。 基于聚类，可以选择裁剪，例如将其呈现给用户进行选择。