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公开(公告)号：US20220100791A1
公开(公告)日：2022-03-31
申请号：US17544689
申请日：2021-12-07
Applicant: Adobe Inc.
Inventor： Ajinkya Kale , Baldo Faieta , Benjamin Leviant , Fengbin Chen , Francois Guerin , Kate Sousa , Trung Bui , Venkat Barakam , Zhe Lin
IPC: G06F16/48 , G06K9/62 , G06F16/2457 , G06F16/43
Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.
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Patent Agency Ranking
公开(公告)号：US20210034657A1
公开(公告)日：2021-02-04
申请号：US16525366
申请日：2019-07-29
Applicant: Adobe Inc.
Inventor： Ajinkya Kale , Baldo Faieta , Benjamin Leviant , Fengbin Chen , Francois Guerin , Kate Sousa , Trung Bui , Venkat Barakam , Zhe Lin
IPC: G06F16/48 , G06K9/62 , G06F16/43 , G06F16/2457
Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.
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公开(公告)号：US11232147B2
公开(公告)日：2022-01-25
申请号：US16525366
申请日：2019-07-29
Applicant: Adobe Inc.
Inventor： Ajinkya Kale , Baldo Faieta , Benjamin Leviant , Fengbin Chen , Francois Guerin , Kate Sousa , Trung Bui , Venkat Barakam , Zhe Lin
IPC: G06F16/20 , G06F16/48 , G06K9/62 , G06F16/2457 , G06F16/43
Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.
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公开(公告)号：US11380033B2
公开(公告)日：2022-07-05
申请号：US16738359
申请日：2020-01-09
Applicant: Adobe Inc.
Inventor： Kate Sousa , Zhe Lin , Saeid Motiian , Pramod Srinivasan , Baldo Faieta , Alex Filipkowski
Abstract: Based on a received digital image and text, a neural network trained to identify candidate text placement areas within images may be used to generate a mask for the digital image that includes a candidate text placement area. A bounding box for the digital image may be defined for the text and based on the candidate text placement area, and the text may be superimposed onto the digital image within the bounding box.
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公开(公告)号：US11741157B2
公开(公告)日：2023-08-29
申请号：US17544689
申请日：2021-12-07
Applicant: Adobe Inc.
Inventor： Ajinkya Kale , Baldo Faieta , Benjamin Leviant , Fengbin Chen , Francois Guerin , Kate Sousa , Trung Bui , Venkat Barakam , Zhe Lin
IPC: G06F16/40 , G06F16/58 , G06F16/48 , G06F16/2457 , G06F16/43 , G06V20/00 , G06F18/23213
CPC classification number: G06F16/5866 , G06F16/24578 , G06F16/43 , G06F16/48 , G06F18/23213 , G06V20/35 , G06V2201/10
Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.
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公开(公告)号：US20210217215A1
公开(公告)日：2021-07-15
申请号：US16738359
申请日：2020-01-09
Applicant: Adobe Inc.
Inventor： Kate Sousa , Zhe Lin , Saeid Motiian , Pramod Srinivasan , Baldo Faieta , Alex Filipkowski
Abstract: Based on a received digital image and text, a neural network trained to identify candidate text placement areas within images may be used to generate a mask for the digital image that includes a candidate text placement area. A bounding box for the digital image may be defined for the text and based on the candidate text placement area, and the text may be superimposed onto the digital image within the bounding box.
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