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公开(公告)号：US11675963B2
公开(公告)日：2023-06-13
申请号：US16565145
申请日：2019-09-09
Applicant: Adobe Inc.
Inventor： Akulaa Agarwal , Rajat Budhiraja , Nishant Rai , Achintya Dixit
IPC: G06F40/103 , G06N20/00 , G06F40/58 , G06F40/109 , G06V30/412 , G06V30/414 , G06V30/40
CPC classification number: G06F40/103 , G06F40/109 , G06F40/58 , G06N20/00 , G06V30/40 , G06V30/412 , G06V30/414
Abstract: The present disclosure describes design-time tools that assist a document designer in designing a document that is ready for translation into multiple target languages. In particular, techniques are described that enable a user or designer of a document to, at design time itself, check and verify that text elements included in the document for displaying text content are properly sized for displaying translations of the text content in one or more desired target languages. If a text element is not large enough to contain all the desired translations within its boundaries, i.e., there is at least one translation of the text content that cannot be fully contained within the boundaries of the text element, an indication is provided to the user or designer.
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公开(公告)号：US20210073340A1
公开(公告)日：2021-03-11
申请号：US16565145
申请日：2019-09-09
Applicant: Adobe Inc.
Inventor： Akulaa Agarwal , Rajat Budhiraja , Nishant Rai , Achintya Dixit
Abstract: The present disclosure describes design-time tools that assist a document designer in designing a document that is ready for translation into multiple target languages. In particular, techniques are described that enable a user or designer of a document to, at design time itself, check and verify that text elements included in the document for displaying text content are properly sized for displaying translations of the text content in one or more desired target languages. If a text element is not large enough to contain all the desired translations within its boundaries, i.e., there is at least one translation of the text content that cannot be fully contained within the boundaries of the text element, an indication is provided to the user or designer.
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公开(公告)号：US20230127525A1
公开(公告)日：2023-04-27
申请号：US17512264
申请日：2021-10-27
Applicant: Adobe Inc.
Inventor： Nishant Rai , Shivam Mishra , Nitesh Jain , Nikhil Gupta , Anubhav Jain
IPC: G06N3/04
Abstract: The present disclosure describes methods, systems, and non-transitory computer-readable media for implementing a machine learning framework to generate a recommend digital assets from a digital image. For example, in one or more embodiments, the disclosed systems utilize a machine learning model to detect a shape, color, pattern, or other digital asset type from a digital image and then extract (and further modify) the detected asset type to create various different digital assets as recommendations. In some cases, the disclosed system utilizes the machine learning model to determine one or more digital asset classes associated with the digital image, generate preprocessed digital assets from the digital image for those digital asset classes, and generate production-ready digital assets from the preprocessed digital assets. Further, in some instances, the disclosed systems provide one or more of the digital assets via recommendations based on asset scores determined via the generation process.
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