-
公开(公告)号：US20170357877A1
公开(公告)日：2017-12-14
申请号：US15177197
申请日：2016-06-08
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Yufei Wang , Radomir Mech , Xiaohui Shen , Gavin Stuart Peter Miller
CPC classification number: G06K9/6218 , G06F17/30247 , G06F17/30265 , G06F17/3028 , G06K9/00228 , G06K9/00677 , G06K9/00718 , G06K9/00751 , G06K9/4628 , G06K9/6215 , G06K9/6254 , G06K9/6255 , G06K9/628 , G06N3/0454 , G06N3/084
Abstract: In embodiments of event image curation, a computing device includes memory that stores a collection of digital images associated with a type of event, such as a digital photo album of digital photos associated with the event, or a video of image frames and the video is associated with the event. A curation application implements a convolutional neural network, which receives the digital images and a designation of the type of event. The convolutional neural network can then determine an importance rating of each digital image within the collection of the digital images based on the type of the event. The importance rating of a digital image is representative of an importance of the digital image to a person in context of the type of the event. The convolutional neural network generates an output of representative digital images from the collection based on the importance rating of each digital image.
-
公开(公告)号：US09818044B2
公开(公告)日：2017-11-14
申请号：US14938781
申请日：2015-11-11
Applicant: Adobe Systems Incorporated
Inventor： Zeke Koch , Gavin Stuart Peter Miller , Jonathan W. Brandt , Nathan A. Carr , Walter Wei-Tuh Chang , Scott D. Cohen , Hailin Jin
CPC classification number: G06K9/6202 , G06K9/6201 , G06K9/80 , G06T11/60 , G06T2200/24
Abstract: Content update and suggestion techniques are described. In one or more implementations, techniques are implemented to generate suggestions that are usable to guide creative professionals in updating content such as images, video, sound, multimedia, and so forth. A variety of techniques are usable to generate suggestions for the content professionals. In one example, suggestions are based on shared characteristics of images licensed by users of a content sharing service, e.g., licensed by the users. In another example, suggestions are based on metadata of the images licensed by the users, the metadata describing characteristics of how the images are created. These suggestions are then used to guide transformation of a user's image such that the image exhibits these characteristics and thus has an increased likelihood of being desired for licensing by customers of the service.
-
公开(公告)号：US20170132490A1
公开(公告)日：2017-05-11
申请号：US14938781
申请日：2015-11-11
Applicant: Adobe Systems Incorporated
Inventor： Zeke Koch , Gavin Stuart Peter Miller , Jonathan W. Brandt , Nathan A. Carr , Walter Wei-Tuh Chang , Scott D. Cohen , Hailin Jin
CPC classification number: G06K9/6202 , G06K9/6201 , G06K9/80 , G06T11/60 , G06T2200/24
Abstract: Content update and suggestion techniques are described. In one or more implementations, techniques are implemented to generate suggestions that are usable to guide creative professionals in updating content such as images, video, sound, multimedia, and so forth. A variety of techniques are usable to generate suggestions for the content professionals. In one example, suggestions are based on shared characteristics of images licensed by users of a content sharing service, e.g., licensed by the users. In another example, suggestions are based on metadata of the images licensed by the users, the metadata describing characteristics of how the images are created. These suggestions are then used to guide transformation of a user's image such that the image exhibits these characteristics and thus has an increased likelihood of being desired for licensing by customers of the service.
-
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.
-
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.
-
Patent Agency Ranking
公开(公告)号：US20190051052A1
公开(公告)日：2019-02-14
申请号：US15675045
申请日：2017-08-11
Applicant: Adobe Systems Incorporated
Inventor： Stefano Koenig Corazza , Gavin Stuart Peter Miller
CPC classification number: G06T19/006 , G06T15/503 , G06T15/506 , G06T15/60 , G06T2215/16
Abstract: A digital medium environment includes at least one computing device (e.g., a user's mobile device) in an environment. Systems and techniques are described for presenting a photorealistic augmented reality experience in real time on the computing device. A lighting representation of the environment is obtained from a partial view of the environment, such as from an image of the environment, and used to render a 3D asset (e.g., graphics of a synthetic object). The 3D asset is inserted into the environment by compositing the rendered 3D asset with the image of the environment accounting for occlusion and based on the lighting representation to form a composite image. Photorealistic processing is applied to the composite image by adding lighting for the rendered 3D asset to a portion of the background of the composite image. Consequently, the inserted graphic is indistinguishable from the real-world scene.
-
公开(公告)号：US09940544B2
公开(公告)日：2018-04-10
申请号：US15177197
申请日：2016-06-08
Applicant: Adobe Systems Incorporated
Inventor： Zhe Lin , Yufei Wang , Radomir Mech , Xiaohui Shen , Gavin Stuart Peter Miller
CPC classification number: G06K9/6218 , G06F17/30247 , G06F17/30265 , G06F17/3028 , G06K9/00228 , G06K9/00677 , G06K9/00718 , G06K9/00751 , G06K9/4628 , G06K9/6215 , G06K9/6254 , G06K9/6255 , G06K9/628 , G06N3/0454 , G06N3/084
Abstract: In embodiments of event image curation, a computing device includes memory that stores a collection of digital images associated with a type of event, such as a digital photo album of digital photos associated with the event, or a video of image frames and the video is associated with the event. A curation application implements a convolutional neural network, which receives the digital images and a designation of the type of event. The convolutional neural network can then determine an importance rating of each digital image within the collection of the digital images based on the type of the event. The importance rating of a digital image is representative of an importance of the digital image to a person in context of the type of the event. The convolutional neural network generates an output of representative digital images from the collection based on the importance rating of each digital image.
-
公开(公告)号：US20170301145A1
公开(公告)日：2017-10-19
申请号：US15133025
申请日：2016-04-19
Applicant: Adobe Systems Incorporated
Inventor： Gavin Stuart Peter Miller
CPC classification number: G06T19/20 , G06F1/163 , G06F3/005 , G06F3/011 , G06F3/013 , G06F3/0304 , G06F3/04845 , G06T3/40 , G06T11/00 , G06T19/006 , G09G3/20 , G09G5/14 , G09G2300/023 , G09G2340/10 , G09G2340/12 , G09G2340/125
Abstract: Image compensation for an occluding direct-view augmented reality system is described. In one or more embodiments, an augmented reality apparatus includes an emissive display layer for presenting emissive graphics to an eye of a user and an attenuation display layer for presenting attenuation graphics between the emissive display layer and a real-world scene to block light of the real-world scene from the emissive graphics. A light region compensation module dilates an attenuation graphic based on an attribute of an eye of a viewer, such as size of a pupil, to produce an expanded attenuation graphic that blocks additional light to compensate for an unintended light region. A dark region compensation module camouflages an unintended dark region with a replica graphic in the emissive display layer that reproduces an appearance of the real-world scene in the unintended dark region. A camera provides the light data used to generate the replica graphic.
-
公开(公告)号：US20170132290A1
公开(公告)日：2017-05-11
申请号：US14938752
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: G06N3/08 , G06F16/5854 , G06N5/022 , G06N20/00
Abstract: Image search techniques and systems involving emotions are described. In one or more implementations, a digital medium environment of a content sharing service is described for image search result configuration and control based on a search request that indicates an emotion. The search request is received that includes one or more keywords and specifies an emotion. Images are located that are available for licensing by matching one or more tags associated with the image with the one or more keywords and as corresponding to the emotion. The emotion of the images is identified using one or more models that are trained using machine learning based at least in part on training images having tagged emotions. Output is controlled of a search result having one or more representations of the images that are selectable to license respective images from the content sharing service.
-
公开(公告)号：US20170131876A1
公开(公告)日：2017-05-11
申请号：US14938628
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
IPC: G06F3/0484 , G06T7/00 , G06F3/0482 , G06F17/27 , G06F17/30 , G06T11/00
CPC classification number: G06T11/001 , G06F17/30244 , G06F17/3025 , G06F17/30268 , G06F17/30867 , G06T11/60
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.
-
-
-
-
-
-
-
-
-
Search Results
43
records
(took 0.023 seconds)
