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公开(公告)号：US11449662B2
公开(公告)日：2022-09-20
申请号：US17068623
申请日：2020-10-12
Applicant: ADOBE INC.
Inventor： Amish Kumar Bedi , Damanpreet Kaur , Sanyam Jain , Zoya Bylinskii
IPC: G06F17/00 , G06F40/106 , G06F40/186
Abstract: This disclosure includes technologies for image processing, specifically for generating layout variations that are different but visually consistent with the input layout. The disclosed system determines a visual flow of the design blocks in the input layout, and then generates layout variations based on the visual flow. Advantageously, the disclosed technologies enable both novices and seasoned designers to efficiently create alternative layout variations, even in real-time with intricate designs.
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公开(公告)号：US20210065332A1
公开(公告)日：2021-03-04
申请号：US16557058
申请日：2019-08-30
Applicant: ADOBE INC.
Inventor： Amish Kumar Bedi , Sanyam Jain , Jianming Zhang
Abstract: Systems and methods are described for dynamically fitting a digital image based on the saliency of the image and the aspect ratio of a frame are described. The systems and methods may provide for identifying an aspect ratio of the frame, selecting a salient region of the digital image based on the aspect ratio using a saliency prediction model, and fitting the digital image into the frame so that a boundary of the frame is aligned with a boundary of the salient region.
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公开(公告)号：US20220114326A1
公开(公告)日：2022-04-14
申请号：US17068623
申请日：2020-10-12
Applicant: ADOBE INC.
Inventor： Amish Kumar Bedi , Damanpreet Kaur , Sanyam Jain , Zoya Bylinskii
IPC: G06F40/106 , G06F40/186
Abstract: This disclosure includes technologies for image processing, specifically for generating layout variations that are different but visually consistent with the input layout. The disclosed system determines a visual flow of the design blocks in the input layout, and then generates layout variations based on the visual flow. Advantageously, the disclosed technologies enable both novices and seasoned designers to efficiently create alternative layout variations, even in real-time with intricate designs.
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公开(公告)号：US11132762B2
公开(公告)日：2021-09-28
申请号：US16557058
申请日：2019-08-30
Applicant: ADOBE INC.
Inventor： Amish Kumar Bedi , Sanyam Jain , Jianming Zhang
Abstract: Systems and methods are described for dynamically fitting a digital image based on the saliency of the image and the aspect ratio of a frame are described. The systems and methods may provide for identifying an aspect ratio of the frame, selecting a salient region of the digital image based on the aspect ratio using a saliency prediction model, and fitting the digital image into the frame so that a boundary of the frame is aligned with a boundary of the salient region.
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公开(公告)号：US20200151442A1
公开(公告)日：2020-05-14
申请号：US16190466
申请日：2018-11-14
Applicant: Adobe Inc.
Inventor： Monica Singh , Prateek Gaurav , Amish Kumar Bedi
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing matching fonts by utilizing a glyph-based machine learning model. For example, the disclosed systems can generate a glyph image by arranging glyphs from a digital document according to an ordering rule. The disclosed systems can further identify target fonts as fonts that include the glyphs within the glyph image. The disclosed systems can further generate target glyph images by arranging glyphs of the target fonts according to the ordering rule. Based on the glyph image and the target glyph images, the disclosed systems can utilize a glyph-based machine learning model to generate and compare glyph image feature vectors. By comparing a glyph image feature vector with a target glyph image feature vector, the font matching system can identify one or more matching glyphs.
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Patent Agency Ranking
公开(公告)号：US11763583B2
公开(公告)日：2023-09-19
申请号：US17537045
申请日：2021-11-29
Applicant: Adobe Inc.
Inventor： Monica Singh , Prateek Gaurav , Amish Kumar Bedi
IPC: G06V30/244 , G06F16/51 , G06F18/22 , G06F18/214 , G06V10/74 , G06V10/82 , G06V30/28
CPC classification number: G06V30/245 , G06F16/51 , G06F18/2148 , G06F18/22 , G06V10/761 , G06V10/82 , G06V30/293
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing matching fonts by utilizing a glyph-based machine learning model. For example, the disclosed systems can generate a glyph image by arranging glyphs from a digital document according to an ordering rule. The disclosed systems can further identify target fonts as fonts that include the glyphs within the glyph image. The disclosed systems can further generate target glyph images by arranging glyphs of the target fonts according to the ordering rule. Based on the glyph image and the target glyph images, the disclosed systems can utilize a glyph-based machine learning model to generate and compare glyph image feature vectors. By comparing a glyph image feature vector with a target glyph image feature vector, the font matching system can identify one or more matching glyphs.
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公开(公告)号：US20220083772A1
公开(公告)日：2022-03-17
申请号：US17537045
申请日：2021-11-29
Applicant: Adobe Inc.
Inventor： Monica Singh , Prateek Gaurav , Amish Kumar Bedi
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing matching fonts by utilizing a glyph-based machine learning model. For example, the disclosed systems can generate a glyph image by arranging glyphs from a digital document according to an ordering rule. The disclosed systems can further identify target fonts as fonts that include the glyphs within the glyph image. The disclosed systems can further generate target glyph images by arranging glyphs of the target fonts according to the ordering rule. Based on the glyph image and the target glyph images, the disclosed systems can utilize a glyph-based machine learning model to generate and compare glyph image feature vectors. By comparing a glyph image feature vector with a target glyph image feature vector, the font matching system can identify one or more matching glyphs.
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公开(公告)号：US11216658B2
公开(公告)日：2022-01-04
申请号：US16190466
申请日：2018-11-14
Applicant: Adobe Inc.
Inventor： Monica Singh , Prateek Gaurav , Amish Kumar Bedi
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing matching fonts by utilizing a glyph-based machine learning model. For example, the disclosed systems can generate a glyph image by arranging glyphs from a digital document according to an ordering rule. The disclosed systems can further identify target fonts as fonts that include the glyphs within the glyph image. The disclosed systems can further generate target glyph images by arranging glyphs of the target fonts according to the ordering rule. Based on the glyph image and the target glyph images, the disclosed systems can utilize a glyph-based machine learning model to generate and compare glyph image feature vectors. By comparing a glyph image feature vector with a target glyph image feature vector, the font matching system can identify one or more matching glyphs.
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公开(公告)号：US11144717B2
公开(公告)日：2021-10-12
申请号：US16142125
申请日：2018-09-26
Applicant: Adobe Inc.
Inventor： Amish Kumar Bedi , Sanyam Jain , Gaurav Bhargava
IPC: G06F40/186 , G06F40/106
Abstract: Disclosed systems and methods for the automatic creation of multiple layouts that maintain a design aesthetic of an input design document. In an example, a document processing application determines a set of document layout parameters such as balance or equilibrium from an input document. The application calculates, for each document layout parameter of the input document, a weight representing a prominence of the respective layout parameter. The application selects templates having an output size and a number of object containers equal to the number of objects of the document. The application further calculates a score for each template by applying the weights of the document layout parameters to the template layout parameters. The application further selects a template with a highest score and places the object on the template, thereby creating the new design document that maintains the design aesthetic.
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公开(公告)号：US20200097536A1
公开(公告)日：2020-03-26
申请号：US16142125
申请日：2018-09-26
Applicant: Adobe Inc.
Inventor： Amish Kumar Bedi , Sanyam Jain , Gaurav Bhargava
Abstract: Disclosed systems and methods for the automatic creation of multiple layouts that maintain a design aesthetic of an input design document. In an example, a document processing application determines a set of document layout parameters such as balance or equilibrium from an input document. The application calculates, for each document layout parameter of the input document, a weight representing a prominence of the respective layout parameter. The application selects templates having an output size and a number of object containers equal to the number of objects of the document. The application further calculates a score for each template by applying the weights of the document layout parameters to the template layout parameters. The application further selects a template with a highest score and places the object on the template, thereby creating the new design document that maintains the design aesthetic.
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