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公开(公告)号:US10853766B2
公开(公告)日:2020-12-01
申请号:US15801090
申请日:2017-11-01
Applicant: Adobe Inc.
Inventor: Govind P. Balakrishnan , Pradeep Saikalyanachakravarthi Javangula , Oliver Isaac Goldman , Kevin Gary Smith
Abstract: A creative brief schema is described. A service provider system, such as a creative service provider system, supports the creation of digital content in connection with digital content creation projects by employing the creative brief schema. Initially, the service provider system defines the schema as a set of rules for controlling configuration of creative briefs to register digital content creation projects. The service provider system provides service to support digital content creation based on the data included in the creative briefs. For instance, the service provider system provides service by leveraging the descriptive data configured according to the set of rules defined by the schema, which specify particular attributes that are to be instantiated to describe digital content creation projects. Examples of these attributes include a brief identifier, a brief name, associated products or services, creative spend, expected performance, audience demographics, delivery channels, mood, and so forth.
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公开(公告)号:US10782787B2
公开(公告)日:2020-09-22
申请号:US14297896
申请日:2014-06-06
Applicant: Adobe Inc.
Inventor: Kevin Gary Smith
IPC: G06F3/00 , G06F3/01 , G06F3/0488 , H04N5/44 , H04N21/422 , H04N21/414 , H04L29/06 , G06F1/16 , H04N5/445
Abstract: The present disclosure is directed toward systems and methods that mirror a display on a touch screen as well as touch gestures being performed on the touch screen. For example, systems and methods described herein involve detecting a touch gesture being performed on a touch screen and providing a semi-transparent animation of the touch gesture on a mirrored display. The semi-transparent animation can allow users to view both the mirrored display and the touch gesture animation.
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公开(公告)号:US20200159847A1
公开(公告)日:2020-05-21
申请号:US16198541
申请日:2018-11-21
Applicant: ADOBE INC.
Inventor: Kevin Gary Smith , John Bevil Bates
IPC: G06F17/30
Abstract: In various embodiments, a request may be received identifying items of information and an entity requesting the items. A set of entities may be determined It may be determined, for a response to the request, that collectively has access to a set of values that captures each of the items requested by the entity. A transaction of a transaction block may be created on a blockchain maintained at least in part by one or more nodes of a distributed ledger system. The transaction may be digitally signed and identify the set of entities, and contribution scores of the values to the set of values. Each contribution score for a given value of an item being based on a level of scarcity of the item and a level of usage of the item. The blockchain may identify a scoring algorithm used to determine the contribution scores.
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公开(公告)号:US10430482B2
公开(公告)日:2019-10-01
申请号:US15636391
申请日:2017-06-28
Applicant: Adobe Inc.
Inventor: Kevin Gary Smith , William Brandon George , Alan G. Wilson
IPC: G06F16/00 , G06F16/9535 , G06F16/23 , G06Q10/00 , G06Q10/10 , G06F17/24 , G06F3/0481 , G06T11/20
Abstract: In embodiments of customized and automated dynamic infographics, an infographic template is received at a cloud-based service from a computing device, where a user at the computing device creates the infographic template in a graphics application to display data obtained from data sources. The cloud-based service assigns an identifier to associate the infographic template and the data sources of the data, and posts the infographic template making it available for cloud-based access by other computing devices that request to display the posted infographic template. The cloud-based service can receive a request from one of the computing devices to update the displayed data, and then query the data sources for current data, where the query is based on the identifier that is associated with the posted infographic template. The cloud-based service can then transform the current data to generate updated data, and update the posted infographic template with the updated data.
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公开(公告)号:US20250106300A1
公开(公告)日:2025-03-27
申请号:US18373036
申请日:2023-09-26
Applicant: Adobe Inc.
Inventor: William Brandon George , Kevin Gary Smith
Abstract: In some embodiments, a contact stream is generated or modified based on configuration data received from a machine-learning model. Multiple contact items are selected for a contact stream, to be delivered to a user device via electronic communication channels. In addition, a success metric is identified indicating an engagement with the contact stream or an action performed following the engagement. A machine-learning model is applied to the contact items, where the machine-learning model is trained to identify relationships among actions in an online environment and configuration parameters that control delivery of contact streams. The machine-learning model provides an output indicating configuration data or a success probability for the contact stream. The configuration data includes configuration parameter values computed by the machine-learning model for achieving the identified success metric. The success probability indicates a probability computed by the machine-learning model for achieving the identified success metric.
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36.
公开(公告)号:US20240256218A1
公开(公告)日:2024-08-01
申请号:US18311713
申请日:2023-05-03
Applicant: Adobe Inc.
Inventor: Nikita Soni , Trung Bui , Kevin Gary Smith
IPC: G06F3/16 , G06F3/04845 , G06F3/0488 , G06T11/00 , G06T11/60
CPC classification number: G06F3/167 , G06F3/04845 , G06F3/0488 , G06T11/001 , G06T11/60 , G06T2200/24
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that edit digital images using combinations of speech input and gesture interactions. For instance, in some embodiments, the disclosed systems receive speech input from a client device displaying a digital image within a graphical user interface, the digital image portraying an object. Additionally, the disclosed systems detect, via the graphical user interface, one or more gesture interactions with respect to the object of the digital image. Based on the speech input, the disclosed systems determine an edit for the object of the digital image indicated by the one or more gesture interactions. Further, the disclosed systems modify the object within the digital image using the edit indicated by the one or more gesture interactions.
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公开(公告)号:US20230419571A1
公开(公告)日:2023-12-28
申请号:US17809494
申请日:2022-06-28
Applicant: Adobe Inc.
Inventor: Zhifei Zhang , Zhe Lin , Scott Cohen , Kevin Gary Smith
IPC: G06T11/60 , G06T11/20 , G06F16/532
CPC classification number: G06T11/60 , G06T11/203 , G06F16/532 , G06T2200/24 , G06T2207/20084 , G06F3/0482
Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that implements related image search and image modification processes using various search engines and a consolidated graphical user interface. For instance, in one or more embodiments, the disclosed systems receive an input digital image and search input and further modify the input digital image using the image search results retrieved in response to the search input. In some cases, the search input includes a multi-modal search input having multiple queries (e.g., an image query and a text query), and the disclosed systems retrieve the image search results utilizing a weighted combination of the queries. In some implementations, the disclosed systems generate an input embedding for the search input (e.g., the multi-modal search input) and retrieve the image search results using the input embedding.
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公开(公告)号:US11853723B2
公开(公告)日:2023-12-26
申请号:US17490748
申请日:2021-09-30
Applicant: Adobe Inc.
Inventor: Thomas William Randall Jacobs , Peter Raymond Fransen , Kevin Gary Smith , Kent Andrew Edmonds , Jen-Chan Jeff Chien , Gavin Stuart Peter Miller
CPC classification number: G06F8/33 , G06F21/6245 , G06N5/02 , G06N20/00
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:US11544743B2
公开(公告)日:2023-01-03
申请号:US15785329
申请日:2017-10-16
Applicant: Adobe Inc.
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:US20220413881A1
公开(公告)日:2022-12-29
申请号:US17823811
申请日:2022-08-31
Applicant: Adobe Inc.
Inventor: Oliver Brdiczka , Robert Alley , Kyoung Tak Kim , Kevin Gary Smith , Aliakbar Darabi
Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods that intelligently sense digital user context across client devices applications utilizing a dynamic sensor graph framework and then utilize a persistent context store to generate flexible digital recommendations across digital applications. In one or more embodiments, the disclosed systems utilize triggers to select and activate one or more sensor graphs. These sensor graphs can include software sensors arranged according to an architecture of dependencies and subject to various constraints. The underlying architecture of dependencies and constraints in each sensor graph allows the disclosed systems to avoid race-conditions in persisting actionable user-context based signals, verify the validity of sensor output through the sensor graph, generate user-context based recommendations across multiple related applications, and accommodate a specific latency/refresh rate of context values.
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