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公开(公告)号：US20170178291A1
公开(公告)日：2017-06-22
申请号：US15448138
申请日：2017-03-02
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Radomir Mech , Xiaohui Shen , Brian L. Price , Jianming Zhang , Anant Gilra , Jen-Chan Jeff Chien
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.
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公开(公告)号：US20170052981A1
公开(公告)日：2017-02-23
申请号：US14827600
申请日：2015-08-17
Applicant: Adobe Systems Incorporated
Inventor： Zeke Koch , Baldo Faieta , Jen-Chan Jeff Chien , Mark M. Randall , Olivier Sirven , Philipp Koch , Dennis G. Nicholson
IPC: G06F17/30
CPC classification number: G06F16/444 , G06F16/58
Abstract: Content search and geographical consideration techniques and system employed as part of a digital environment are described. In one or more implementations, a digital medium environment is described for configuring image searches by one or more computing devices. Data is received by the one or more computing devices that identifies images obtained by users and used as part of content creation, indicates geographical locations of respective said users that obtained the images or associated with the content that includes the images, and indicates times associated with the users as obtaining the images or use of the images as part of the content. A map is built by the one or more computing devices that describes how use of the images as part of the content creation is diffused over the geographical locations over the indicated times. An image search is controlled by the one or more computing devices based on the map and a geographic location associated with the image search.
Abstract translation: 描述了作为数字环境的一部分使用的内容搜索和地理考虑技术和系统。 在一个或多个实现中，描述了用于配置由一个或多个计算设备进行图像搜索的数字媒体环境。 数据由一个或多个计算设备接收，该计算设备识别由用户获得的图像并且用作内容创建的一部分，指示获得图像或与包括图像的内容相关联的各个所述用户的地理位置，并且指示与 用户获取图像或使用图像作为内容的一部分。 地图由一个或多个计算设备构建，描述如何在指定时间内在地理位置上扩散作为内容创作的一部分的图像。 图像搜索由一个或多个计算设备基于地图和与图像搜索相关联的地理位置来控制。
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公开(公告)号：US20190114680A1
公开(公告)日：2019-04-18
申请号：US15783228
申请日：2017-10-13
Applicant: Adobe Systems Incorporated
Inventor： Jen-Chan Jeff Chien , Thomas William Randall Jacobs , Kent Andrew Edmonds , Kevin Gary Smith , Peter Raymond Fransen , Gavin Stuart Peter Miller , Ashley Manning Still
Abstract: Techniques and system are described to control output of digital marketing content with respect to a digital video that address the added complexities of digital video over other types of digital content, such as webpages. In one example, the techniques and systems are configured to control a time, at which, digital marketing content is to be output with respect to the digital video, e.g., by selecting a commercial break or output as a banner ad in conjunction with the video.
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公开(公告)号：US20190095949A1
公开(公告)日：2019-03-28
申请号：US15716348
申请日：2017-09-26
Applicant: Adobe Systems Incorporated
Inventor： Jen-Chan Jeff Chien , Thomas William Randall Jacobs , Kent Andrew Edmonds , Kevin Gary Smith , Peter Raymond Fransen
Abstract: Techniques and system are described to control output of digital marketing content with respect to digital content. This is achieved by leveraging additional insight that may be gained from external service systems that describe the digital content, e.g., social network systems, digital content review systems, and so forth. In one example, the techniques and systems are configured to collect social network data that describes social network communications communicated via a social network system. Natural language processing techniques are then performed as part of machine learning to detect interest of a user population associated with the social network communications.
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公开(公告)号：US09626584B2
公开(公告)日：2017-04-18
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
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.
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Patent Agency Ranking
公开(公告)号：US20190114672A1
公开(公告)日：2019-04-18
申请号：US15785329
申请日：2017-10-16
Applicant: Adobe Systems Incorporated
Inventor： Thomas William Randall Jacobs , Peter Raymond Fransen , Kevin Gary Smith , Kent Andrew Edmonds , Jen-Chan Jeff Chien , Gavin Stuart Peter Miller
Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
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公开(公告)号：US20190114151A1
公开(公告)日：2019-04-18
申请号：US15785298
申请日：2017-10-16
Applicant: Adobe Systems Incorporated
Inventor： Thomas William Randall Jacobs , Peter Raymond Fransen , Kevin Gary Smith , Kent Andrew Edmonds , Jen-Chan Jeff Chien , Gavin Stuart Peter Miller
Abstract: Application personalization techniques and systems are described that leverage an embedded machine learning module to preserve a user's privacy while still supporting rich personalization with improved accuracy and efficiency of use of computational resources over conventional techniques and systems. The machine learning module, for instance, may be embedded as part of an application to execute within a context of the application to learn user preferences to train a model using machine learning. This model is then used within the context of execution of the application to personalize the application, such as control access to digital content, make recommendations, control which items of digital marketing content are exposed to a user via the application, and so on.
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公开(公告)号：US09760978B1
公开(公告)日：2017-09-12
申请号：US15149415
申请日：2016-05-09
Applicant: Adobe Systems Incorporated
Inventor： Xin Lu , Zhe Lin , Jen-Chan Jeff Chien
CPC classification number: G06T5/001 , G01R33/56 , G06T5/005 , G06T5/006 , G06T5/50 , G06T9/002 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/20212 , H04N1/60
Abstract: Missing region prediction techniques are described. In implementations, an image pair is obtained that includes first and second images. The first image is corrupted by removing a region of content, resulting in a corrupted image having a missing region. The corrupted image and the second image of the image pair are then used to generate a training-image pair. Then, based on a plurality of training-image pairs including the generated training-image pair, a model is trained using machine learning. The model can subsequently be used to predict pixel values of pixels within a subsequent missing region of a subsequent image that is not used as part of the training.
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公开(公告)号：US09454797B2
公开(公告)日：2016-09-27
申请号：US14733090
申请日：2015-06-08
Applicant: Adobe Systems Incorporated
Inventor： Jovan Popovic , Jen-Chan Jeff Chien , Chintan Intwala , Sarah A. Kong
CPC classification number: G06T3/0093 , G06T11/60
Abstract: Methods and apparatus for manipulating digital images. A warping module is described that enables the manipulation of a surface by selectively deforming portions of the surface while maintaining local rigidity. The user may position multiple control points on a surface to constrain deformation. The user may specify multiple properties (e.g., translation, rotation, depth, and scale) at each control point. A mesh may be overlaid on the surface. The warping module may perform an initialization in which the properties are propagated other vertices in the mesh to generate an initial deformed mesh. The warping module may then perform an iterative optimization operation on the deformed mesh to improve the deformation while retaining local rigidity. Thus, instead of moving every pixel in the surface, the warping module moves or adjusts coordinates of the vertices of the mesh. The surface is then deformed according to the deformed mesh.
Abstract translation: 用于操纵数字图像的方法和装置。 描述了一种翘曲模块，其能够通过在保持局部刚性的同时选择性地使表面的部分变形来操纵表面。 用户可以在表面上放置多个控制点以约束变形。 用户可以在每个控制点处指定多个属性（例如，平移，旋转，深度和缩放）。 网格可以覆盖在表面上。 翘曲模块可以执行初始化，其中属性在网格中传播其他顶点以生成初始变形的网格。 然后，翘曲模块可以对变形的网格进行迭代优化操作，以改善变形，同时保持局部刚度。 因此，翘曲模块不是移动表面中的每个像素，而是移动或调整网格顶点的坐标。 然后根据变形的网格使表面变形。
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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
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。
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