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公开(公告)号：US20230196008A1
公开(公告)日：2023-06-22
申请号：US18170125
申请日：2023-02-16
Applicant: Adobe Inc.
Inventor： Vinay Aggarwal , Vishwa Vinay , Rizurekh Saha , Prabhat Mahapatra , Niyati Himanshu Chhaya , Harshit Agrawal , Chloe McConnell , Bhanu Prakash Reddy Guda , Balaji Vasan Srinivasan
IPC: G06F40/186 , G06F40/30 , G06F40/109 , G06F18/2411 , G06N20/00
CPC classification number: G06F40/186 , G06F40/30 , G06F40/109 , G06F18/2411 , G06N20/00
Abstract: Techniques for template generation from image content includes extracting information associated with an input image. The information comprises: 1) layout information indicating positions of content corresponding to a content type of a plurality of content types within the input image; and 2) text attributes indicating at least a font of text included in the input image. A user-editable template having the characteristics of the input image is generated based on the layout information and the text attributes
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Patent Agency Ranking
公开(公告)号：US20230114742A1
公开(公告)日：2023-04-13
申请号：US17450250
申请日：2021-10-07
Applicant: Adobe Inc.
Inventor： Vinay Aggarwal , Vishwa Vinay , Rizurekh Saha , Prabhat Mahapatra , Niyati Himanshu Chhaya , Harshit Agrawal , Chloe McConnell , Bhanu Prakash Reddy Guda , Balaji Vasan Srinivasan
IPC: G06F40/186 , G06F40/109 , G06N20/00 , G06F40/30 , G06K9/62
Abstract: Techniques for template generation from image content includes extracting information associated with an input image. The information comprises: 1) layout information indicating positions of content corresponding to a content type of a plurality of content types within the input image; and 2) text attributes indicating at least a font of text included in the input image. A user-editable template having the characteristics of the input image is generated based on the layout information and the text attributes
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公开(公告)号：US12056791B2
公开(公告)日：2024-08-06
申请号：US17407863
申请日：2021-08-20
Applicant: Adobe Inc.
Inventor： Harshit Agrawal , Venkatrayalu Krishnamurthy Logashwar
CPC classification number: G06T11/00 , G06F3/04845 , G06F16/53 , G06F18/24 , G06N20/00 , G06V20/80 , G06T2200/24
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating image layers and determining layer labels utilizing a machine learning approach. For example, the disclosed systems utilize an image segmentation machine learning model to segment the digital image and identify individual objects depicted within the digital image. Additionally, in some embodiments, the disclosed systems determine object classifications for the depicted objects by utilizing an object classification machine learning model. In some cases, the disclosed systems further generate image layers for the digital image by generating a separate layer for each identified object (or for groups of similar objects). In certain embodiments, the disclosed systems also determine layer labels for the image layers according to the object classifications of the respective objects depicted in each of the image layers.
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公开(公告)号：US11914951B2
公开(公告)日：2024-02-27
申请号：US18170125
申请日：2023-02-16
Applicant: Adobe Inc.
Inventor： Vinay Aggarwal , Vishwa Vinay , Rizurekh Saha , Prabhat Mahapatra , Niyati Himanshu Chhaya , Harshit Agrawal , Chloe McConnell , Bhanu Prakash Reddy Guda , Balaji Vasan Srinivasan
IPC: G06F40/186 , G06F40/109 , G06F40/30 , G06N20/00 , G06F18/2411
CPC classification number: G06F40/186 , G06F18/2411 , G06F40/109 , G06F40/30 , G06N20/00
Abstract: Techniques for template generation from image content include extracting information associated with an input image. The information comprises: 1) layout information indicating positions of content corresponding to a content type of a plurality of content types within the input image; and 2) text attributes indicating at least a font of text included in the input image. A user-editable template having the characteristics of the input image is generated based on the layout information and the text attributes.
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公开(公告)号：US11610054B1
公开(公告)日：2023-03-21
申请号：US17450250
申请日：2021-10-07
Applicant: Adobe Inc.
Inventor： Vinay Aggarwal , Vishwa Vinay , Rizurekh Saha , Prabhat Mahapatra , Niyati Himanshu Chhaya , Harshit Agrawal , Chloe McConnell , Bhanu Prakash Reddy Guda , Balaji Vasan Srinivasan
IPC: G06F40/186 , G06F40/109 , G06K9/62 , G06F40/30 , G06N20/00
Abstract: Techniques for template generation from image content includes extracting information associated with an input image. The information comprises: 1) layout information indicating positions of content corresponding to a content type of a plurality of content types within the input image; and 2) text attributes indicating at least a font of text included in the input image. A user-editable template having the characteristics of the input image is generated based on the layout information and the text attributes.
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公开(公告)号：US20230059007A1
公开(公告)日：2023-02-23
申请号：US17407863
申请日：2021-08-20
Applicant: Adobe Inc.
Inventor： Harshit Agrawal , Venkatrayalu Krishnamurthy Logashwar
Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating image layers and determining layer labels utilizing a machine learning approach. For example, the disclosed systems utilize an image segmentation machine learning model to segment the digital image and identify individual objects depicted within the digital image. Additionally, in some embodiments, the disclosed systems determine object classifications for the depicted objects by utilizing an object classification machine learning model. In some cases, the disclosed systems further generate image layers for the digital image by generating a separate layer for each identified object (or for groups of similar objects). In certain embodiments, the disclosed systems also determine layer labels for the image layers according to the object classifications of the respective objects depicted in each of the image layers.
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