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公开(公告)号:US20190075339A1
公开(公告)日:2019-03-07
申请号:US15696087
申请日:2017-09-05
Applicant: Adobe Inc.
Inventor: Kevin Smith
IPC: H04N21/234 , H04N21/81 , H04N21/858 , H04N21/258
CPC classification number: H04N21/23424 , H04N21/23418 , H04N21/25883 , H04N21/25891 , H04N21/812 , H04N21/858 , H04N21/8586
Abstract: Methods and systems for inserting targeted advertisements into video content. One or more embodiments analyze video content to identify media insertion locations on digital object surfaces for inserting advertisements. Additionally, one or more embodiments select advertisements to insert into the video content at the media insertion locations based on the media insertion locations, a viewer, or a viewing device of the viewer. One or more embodiments also digitally insert the advertisements into the video content by placing the selected advertisements at the media insertion locations corresponding to the digital object surfaces. One or more embodiments then provide the video content with the targeted advertisements to the viewing device of the viewer.
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12.
公开(公告)号:US10789610B2
公开(公告)日:2020-09-29
申请号:US15699156
申请日:2017-09-08
Applicant: Adobe Inc.
Inventor: Kevin Smith
Abstract: Methods, systems, and computer readable storage media for improving predictive analytics for performance of digital design assets. In particular, one or more embodiments train a machine-learning model based on previously used digital design assets. One or more embodiments use the machine-learning model to analyze attributes of a user-generated digital design asset to generate an asset score that predicts the performance of the user-generated digital design asset for a target audience segment. One or more embodiments also use the machine-learning model to generate attribute scores for the attributes, and then generate the asset score based on the attribute scores. Additionally, one or more embodiments then provide the asset score to a user (e.g., a content creator) within an asset creation application to allow the user to improve the digital design asset for use in one or more digital content campaigns directed to the target audience segment.
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公开(公告)号:US20190155378A1
公开(公告)日:2019-05-23
申请号:US16253336
申请日:2019-01-22
Applicant: Adobe Inc.
Inventor: Kevin Smith , William Brandon George
IPC: G06F3/01 , G06F3/0481
Abstract: The disclosure describes systems and methods of analyzing interactions with a user interface for an application, where the user interface is implemented at least partly within a virtual reality environment. Certain embodiments provide for receiving interactions that include gestures, spatial contexts, and applications contexts, and receiving results from the application, such as application behavior or error conditions. The user interface interactions and the application results are analyzed. Events, metrics, and relationships are determined based on the analysis. In some cases, additional data (such as historical interactions and results, system environment data, or system configuration data) are received and analyzed, and the determined relationships are further based on the additional data.
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公开(公告)号:US20200154157A1
公开(公告)日:2020-05-14
申请号:US16746580
申请日:2020-01-17
Applicant: Adobe Inc.
Inventor: Kevin Smith
IPC: H04N21/234 , H04N21/258 , H04N21/858 , H04N21/81
Abstract: Methods and systems for inserting targeted advertisements into video content. One or more embodiments analyze video content to identify media insertion locations on digital object surfaces for inserting advertisements. Additionally, one or more embodiments select advertisements to insert into the video content at the media insertion locations based on the media insertion locations, a viewer, or a viewing device of the viewer. One or more embodiments also digitally insert the advertisements into the video content by placing the selected advertisements at the media insertion locations corresponding to the digital object surfaces. One or more embodiments then provide the video content with the targeted advertisements to the viewing device of the viewer.
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15.
公开(公告)号:US10650410B2
公开(公告)日:2020-05-12
申请号:US15070869
申请日:2016-03-15
Applicant: Adobe Inc.
Inventor: Sachin Soni , Kevin Smith , Ashish Duggal , Anmol Dhawan
Abstract: Computer-implemented systems and methods disclosed herein disclose features for determining the frequency of exposure to real-world products embedded with Internet-Of-Things (IoT) hardware and determining a comprehensive targeting profile identifying the interests of users based on their exposure to real-world products. A computing device carried by a user wirelessly receives product exposure data from a nearby IoT-enabled device upon entering within a certain proximity of the IoT-enabled device. The computing device further compiles the product exposure data with previous product exposure data for IoT-enabled devices to which the computing device was previously exposed. Based on the compiled product exposure data, a server device determines a frequency of exposure to a product corresponding to the IoT-enabled device over a period of time. The server device further transmits an electronic communication promoting the product corresponding to the IoT-enabled device if the frequency of exposure increases over a threshold value.
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