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公开(公告)号：US20210110587A1
公开(公告)日：2021-04-15
申请号：US16601263
申请日：2019-10-14
Applicant: Adobe Inc.
Inventor： Vipul Aggarwal , Neel Kadia
Abstract: Automatic positioning of textual content within digital images is leveraged in a digital medium environment. Initially, user input is received to add textual content to a digital image. The digital image can then be processed to identify at least one object in the digital image using an image segmentation model. A placement region for the textual content that does not overlap the at least one object can be automatically determined. After the placement region is automatically determined, the digital image can be modified by positioning the textual content within the automatically determined placement region of the digital image. Positioning the textual content may include automatically adjusting the textual content to fit within the placement region, such as by automatically scaling or aligning the textual content.
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Patent Agency Ranking
公开(公告)号：US20210103632A1
公开(公告)日：2021-04-08
申请号：US16595793
申请日：2019-10-08
Applicant: Adobe Inc.
Inventor： Neel Kadia , Shikhar Garg , Saikat Chakrabarty
Abstract: Font recommendation systems and techniques are provided for determining one or more font recommendations. Content aware font recommendations can be determined for an electronic document based on information from the design context of the electronic document. For example, to generate recommended fonts for an electronic document, the font recommendation systems and techniques can obtain one or images of the electronic document and/or text from the electronic document as input, and can process the one or more images and/or the text to determine recommended font tags. In some cases, recommended fonts can be determined based on user search queries, such as when a user searches for a particular font.
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公开(公告)号：US12210814B2
公开(公告)日：2025-01-28
申请号：US18296867
申请日：2023-04-06
Applicant: Adobe Inc.
Inventor： Neel Kadia , Shikhar Garg , Saikat Chakrabarty
IPC: G06F40/109 , G06F18/2431 , G06F40/117 , G06F40/20 , G06V10/764 , G06V10/82 , G06V30/413
Abstract: Techniques for content-aware font recommendations include obtaining an electronic document comprising an image and text. The image is processed using one or more convolutional neural networks to determine one or more image tags. The image tags are mapped to one or more font tags using a user map, a designer map, or one or more contextual synonyms of the image tags. A font to recommend for the electronic document is then determined using the one or more font tags.
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公开(公告)号：US20230244849A1
公开(公告)日：2023-08-03
申请号：US18296867
申请日：2023-04-06
Applicant: Adobe Inc.
Inventor： Neel Kadia , Shikhar Garg , Saikat Chakrabarty
IPC: G06F40/109 , G06F40/117 , G06F18/2431 , G06V30/413 , G06F40/20
CPC classification number: G06F40/109 , G06F40/117 , G06F18/2431 , G06V30/413 , G06F40/20
Abstract: Techniques for content-aware font recommendations include obtaining an electronic document comprising an image and text. The image is processed using one or more convolutional neural networks to determine one or more image tags. The image tags are mapped to one or more font tags using a user map, a designer map, or one or more contextual synonyms of the image tags. A font to recommend for the electronic document is then determined using the one or more font tags.
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公开(公告)号：US11636251B2
公开(公告)日：2023-04-25
申请号：US16595793
申请日：2019-10-08
Applicant: Adobe Inc.
Inventor： Neel Kadia , Shikhar Garg , Saikat Chakrabarty
IPC: G06F40/109 , G06K9/62 , G06F40/20 , G06F40/117 , G06V30/413
Abstract: Font recommendation systems and techniques are provided for determining one or more font recommendations. Content aware font recommendations can be determined for an electronic document based on information from the design context of the electronic document. For example, to generate recommended fonts for an electronic document, the font recommendation systems and techniques can obtain one or images of the electronic document and/or text from the electronic document as input, and can process the one or more images and/or the text to determine recommended font tags. In some cases, recommended fonts can be determined based on user search queries, such as when a user searches for a particular font.
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公开(公告)号：US11295495B2
公开(公告)日：2022-04-05
申请号：US16601263
申请日：2019-10-14
Applicant: Adobe Inc.
Inventor： Vipul Aggarwal , Neel Kadia
IPC: G06F40/109 , G06T11/60
Abstract: Automatic positioning of textual content within digital images is leveraged in a digital medium environment. Initially, user input is received to add textual content to a digital image. The digital image can then be processed to identify at least one object in the digital image using an image segmentation model. A placement region for the textual content that does not overlap the at least one object can be automatically determined. After the placement region is automatically determined, the digital image can be modified by positioning the textual content within the automatically determined placement region of the digital image. Positioning the textual content may include automatically adjusting the textual content to fit within the placement region, such as by automatically scaling or aligning the textual content.
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