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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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公开(公告)号：US20190180445A1
公开(公告)日：2019-06-13
申请号：US15838329
申请日：2017-12-11
Applicant: ADOBE INC.
Inventor： Vipul Aggarwal , Naveen Prakash Goel
Abstract: Techniques are described for obtaining at least one image using at least one processor. The techniques may include selecting a plurality of objects defined by a plurality of pixels within the at least one image. The techniques may include determining perceptual information associated with each of the plurality of objects and generating a context for each of the plurality of pixels that define the plurality of objects. The techniques may also include automatically thresholding the at least one image to generate an output image that represents the at least one image.
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3.发明授权公开(公告)号：US11283964B2
公开(公告)日：2022-03-22
申请号：US16879019
申请日：2020-05-20
Applicant: Adobe Inc.
Inventor： Vipul Aggarwal , Pranjal Bhatnagar , Nipun Poddar , Naveen Goel , Amit Gupta
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing intelligent sectioning and selective document reflow for section-based printing. For example, the disclosed systems can intelligently identify document objects (e.g., document structures and sections) within a digital document by utilizing a machine-learning model. In so doing, the disclosed systems can identify document-object types and document-object locations for the document objects in the digital document. In turn, the disclosed systems can provide, for display within a dynamic printing interface, selectable document sections comprising the identified document objects. In response to a user selection of one or more of the selectable document sections, the disclosed system can generate a modified digital document for printing by reflowing the identified document objects in accordance with the user selection. In some cases, reflowing comprises removing unselected document objects and/or repositioning one or more of the selected document objects.
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公开(公告)号：US20210407047A1
公开(公告)日：2021-12-30
申请号：US16910997
申请日：2020-06-24
Applicant: Adobe Inc.
Inventor： Naveen Prakash Goel , Vipul Aggarwal , Sachin Beniwal
Abstract: Techniques and systems are described for automatic artifact removal in a digital image. A segmentation map is generated that describes a magnitude of difference among pixels in a digital image. Contours may be generated that describe boundaries of objects described in the segmentation map. The contours may be filtered according to two-dimensional and three-dimensional cues to identify contours corresponding to artifacts in the digital image. For each contour corresponding to an artifact, an object mask and a sampling mask may be generated. The object mask and the sampling mask may be utilized as part of a content filling operation upon the digital image to remove the artifact, and a corrected digital image is generated that does not include the artifact.
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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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Patent Agency Ranking
公开(公告)号：US20220092370A1
公开(公告)日：2022-03-24
申请号：US17025000
申请日：2020-09-18
Applicant: Adobe Inc.
Inventor： Vipul Aggarwal , Lakshay Kumar , Bhavna Sardana , Amit Sharma
Abstract: In implementations of systems for font replacement in print workflows, a computing device implements a print system to receive print request data describing a document having a corpus of text rendered using a font that is not available to the print system. The print system extracts the corpus of text from the document and generates an indication of a context category of the corpus of text using a machine learning model training to classify context categories of text inputs using training data describing a different corpus of text. A replacement font is identified based on the indication of the context category from replacement font data describing a plurality of candidate replacement fonts. The printing system generates a raster image depicting the corpus of text rendered using the replacement font.
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公开(公告)号：US10475189B2
公开(公告)日：2019-11-12
申请号：US15838329
申请日：2017-12-11
Applicant: ADOBE INC.
Inventor： Vipul Aggarwal , Naveen Prakash Goel
Abstract: Techniques are described for obtaining at least one image using at least one processor. The techniques may include selecting a plurality of objects defined by a plurality of pixels within the at least one image. The techniques may include determining perceptual information associated with each of the plurality of objects and generating a context for each of the plurality of pixels that define the plurality of objects. The techniques may also include automatically thresholding the at least one image to generate an output image that represents the at least one image.
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公开(公告)号：US11503870B2
公开(公告)日：2022-11-22
申请号：US16569367
申请日：2019-09-12
Applicant: Adobe Inc.
Inventor： Vipul Aggarwal , Naveen Prakash Goel , Lakshay Kumar
IPC: A41H3/00 , G05B19/4097
Abstract: In implementations of pattern filling in garment pieces, a pattern filling system represents a first garment piece as a first curve and a second garment piece as a second curve. The system determines a relationship between the first garment piece and the second garment piece by comparing the first curve and the second curve. The pattern filling system generates a visually pleasing fill pattern for the first garment piece and the second garment piece based on the determined relationship.
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公开(公告)号：US11410278B2
公开(公告)日：2022-08-09
申请号：US16910997
申请日：2020-06-24
Applicant: Adobe Inc.
Inventor： Naveen Prakash Goel , Vipul Aggarwal , Sachin Beniwal
Abstract: Techniques and systems are described for automatic artifact removal in a digital image. A segmentation map is generated that describes a magnitude of difference among pixels in a digital image. Contours may be generated that describe boundaries of objects described in the segmentation map. The contours may be filtered according to two-dimensional and three-dimensional cues to identify contours corresponding to artifacts in the digital image. For each contour corresponding to an artifact, an object mask and a sampling mask may be generated. The object mask and the sampling mask may be utilized as part of a content filling operation upon the digital image to remove the artifact, and a corrected digital image is generated that does not include the artifact.
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公开(公告)号：US11386310B2
公开(公告)日：2022-07-12
申请号：US17025000
申请日：2020-09-18
Applicant: Adobe Inc.
Inventor： Vipul Aggarwal , Lakshay Kumar , Bhavna Sardana , Amit Sharma
Abstract: In implementations of systems for font replacement in print workflows, a computing device implements a print system to receive print request data describing a document having a corpus of text rendered using a font that is not available to the print system. The print system extracts the corpus of text from the document and generates an indication of a context category of the corpus of text using a machine learning model training to classify context categories of text inputs using training data describing a different corpus of text. A replacement font is identified based on the indication of the context category from replacement font data describing a plurality of candidate replacement fonts. The printing system generates a raster image depicting the corpus of text rendered using the replacement font.
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