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公开(公告)号：US20230045858A1
公开(公告)日：2023-02-16
申请号：US17935426
申请日：2022-09-26
Applicant: ADOBE INC.
Inventor： Varun Aggarwal , Souvik Sinha Deb , Sanyam Jain , Monica Singh , Mohammad Javed Ali , Gaurav Anand , Deepanjana Chakravarti , Aman Arora , Abhay Sibal
Abstract: Disclosed herein are various techniques for more precisely and reliably (a) positioning top and bottom border edges relative to textual content, (b) positioning left and right border edges relative to textual content, (c) positioning mixed edge borders relative to textual content, (d) positioning boundaries of a region of background shading that fall within borders of textual content, (e) positioning borders relative to textual content that spans columns, (f) positioning respective borders relative to discrete portions of textual content, (g) positioning collective borders relative to discrete, abutting portions of textual content, (h) applying stylized corner boundaries to a region of background shading, and (i) applying stylized corners to borders.
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公开(公告)号：US11151370B2
公开(公告)日：2021-10-19
申请号：US16190562
申请日：2018-11-14
Applicant: Adobe Inc.
Inventor： Gaurav Tarlok Kakkar , Monica Singh
Abstract: In implementations of text wrap detection, one or more computing devices of a system implement a text wrap module for detecting text wrap around a component of digital content of a document. The document is preprocessed to segregate the digital content into a text group and a non-text group. Members of the text group are overlaid with a graphical element colored to provide a contrast between the graphical element and the component of the digital content. The document is converted to a digital image and a feature map of the digital image is generated. The feature map is further processed using machine learning and a detection indication is output. The detection indication may indicate that text wrap is detected around a member of the text group, a member of the non-text group, or that no text wrap is detected.
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公开(公告)号：US20200151445A1
公开(公告)日：2020-05-14
申请号：US16190562
申请日：2018-11-14
Applicant: Adobe Inc.
Inventor： Gaurav Tarlok Kakkar , Monica Singh
Abstract: In implementations of text wrap detection, one or more computing devices of a system implement a text wrap module for detecting text wrap around a component of digital content of a document. The document is preprocessed to segregate the digital content into a text group and a non-text group. Members of the text group are overlaid with a graphical element colored to provide a contrast between the graphical element and the component of the digital content. The document is converted to a digital image and a feature map of the digital image is generated. The feature map is further processed using machine learning and a detection indication is output. The detection indication may indicate that text wrap is detected around a member of the text group, a member of the non-text group, or that no text wrap is detected.
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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：US11455762B2
公开(公告)日：2022-09-27
申请号：US15841387
申请日：2017-12-14
Applicant: Adobe Inc.
Inventor： Varun Aggarwal , Souvik Sinha Deb , Sanyam Jain , Monica Singh , Mohammad Javed Ali , Gaurav Anand , Deepanjana Chakravarti , Aman Arora , Abhay Sibal
Abstract: Disclosed herein are various techniques for more precisely and reliably (a) positioning top and bottom border edges relative to textual content, (b) positioning left and right border edges relative to textual content, (c) positioning mixed edge borders relative to textual content, (d) positioning boundaries of a region of background shading that fall within borders of textual content, (e) positioning borders relative to textual content that spans columns, (f) positioning respective borders relative to discrete portions of textual content, (g) positioning collective borders relative to discrete, abutting portions of textual content, (h) applying stylized corner boundaries to a region of background shading, and (i) applying stylized corners to borders.
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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：US20190188887A1
公开(公告)日：2019-06-20
申请号：US15841387
申请日：2017-12-14
Applicant: Adobe Inc.
Inventor： Varun Aggarwal , Souvik Sinha Deb , Sanyam Jain , Monica Singh , Mohammad Javad Ali , Gaurav Anand , Deepanjana Chakravarti , Aman Arora , Abhay Sibal
CPC classification number: G06T11/60 , G06T5/50 , G06T7/13 , G06T7/60 , G06T7/74 , G06T2200/24 , G06T2207/20221
Abstract: Disclosed herein are various techniques for more precisely and reliably (a) positioning top and bottom border edges relative to textual content, (b) positioning left and right border edges relative to textual content, (c) positioning mixed edge borders relative to textual content, (d) positioning boundaries of a region of background shading that fall within borders of textual content, (e) positioning borders relative to textual content that spans columns, (f) positioning respective borders relative to discrete portions of textual content, (g) positioning collective borders relative to discrete, abutting portions of textual content, (h) applying stylized corner boundaries to a region of background shading, and (i) applying stylized corners to borders.
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