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公开(公告)号：US10372830B2
公开(公告)日：2019-08-06
申请号：US15598141
申请日：2017-05-17
Applicant: Adobe Inc.
Inventor： Ankur Sial , Harpreet Neelu , Amit Gupta , Akshay Madan
Abstract: Digital content translation techniques and system are described. In one example, source digital content is linked via metadata to different derived format versions that are generated from the source digital content. The metadata, for instance, may be used to locate source digital content that generated a particular derived format version that is in use by a service provider system. The source digital content, once identified and located, may then be used to improve efficiency and accuracy in translation of text or images included as part of the source digital content. The updated source digital content is then used to generate a derived format version that includes the translated text or other portion, e.g., an image.
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公开(公告)号：US10528678B2
公开(公告)日：2020-01-07
申请号：US16510690
申请日：2019-07-12
Applicant: Adobe Inc.
Inventor： Ankur Sial , Harpreet Neelu , Amit Gupta , Akshay Madan
Abstract: Digital content translation techniques and system are described. In one example, source digital content is linked via metadata to different derived format versions that are generated from the source digital content. The metadata, for instance, may be used to locate source digital content that generated a particular derived format version that is in use by a service provider system. The source digital content, once identified and located, may then be used to improve efficiency and accuracy in translation of text or images included as part of the source digital content. The updated source digital content is then used to generate a derived format version that includes the translated text or other portion, e.g., an image.
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公开(公告)号：US20240211181A1
公开(公告)日：2024-06-27
申请号：US18069446
申请日：2022-12-21
Applicant: Adobe Inc.
Inventor： Nipun Poddar , Sumeet Khurana , Rebecca Eleanor Hauser , Neha Pant , Naveen Prakash Goel , David Douglas Barnes , Anas Lnu , Amit Mittal , Amit Gupta , Abhishek Kumar Pandey
CPC classification number: G06F3/1204 , G06F3/1208 , G06F3/1256 , H04N1/6097
Abstract: Spot aware print workflow techniques and system are described. In an implementation, a digital document is received for printing that includes a plurality of objects. Spot functionality is detected as corresponding to a respective object based on object properties detected for the respective object. One or more spot planes for are generated based on the spot functionality and a determination is made of color values for the one or more spot planes, respectively, based on context data describing a context, in which, the one or more spot planes are to be printed. The spot planes having the color values are output for printing by a print mechanism.
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4.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：US20210058533A1
公开(公告)日：2021-02-25
申请号：US16547163
申请日：2019-08-21
Applicant: ADOBE INC.
Inventor： VIPUL AGGARWAL , Naveen Prakash Goel , Amit Gupta
Abstract: A method, apparatus, and non-transitory computer readable medium for color reduction based on image segmentation are described. The method, apparatus, and non-transitory computer readable medium may provide for segmenting an input image into a plurality of regions, assigning a weight to each region, identifying one or more colors for each of the regions, selecting a color palette based on the one or more colors for each of the regions and the corresponding weight for each of the regions, and performing a color reduction on the input image using the selected color palette to produce a color reduced image. The weight assigned to each region may depend on factors including relevance, prominence, focus, position, or any combination thereof.
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Patent Agency Ranking
公开(公告)号：US20190340247A1
公开(公告)日：2019-11-07
申请号：US16510690
申请日：2019-07-12
Applicant: Adobe Inc.
Inventor： Ankur Sial , Harpreet Neelu , Amit Gupta , Akshay Madan
Abstract: Digital content translation techniques and system are described. In one example, source digital content is linked via metadata to different derived format versions that are generated from the source digital content. The metadata, for instance, may be used to locate source digital content that generated a particular derived format version that is in use by a service provider system. The source digital content, once identified and located, may then be used to improve efficiency and accuracy in translation of text or images included as part of the source digital content. The updated source digital content is then used to generate a derived format version that includes the translated text or other portion, e.g., an image.
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公开(公告)号：US20220198717A1
公开(公告)日：2022-06-23
申请号：US17654529
申请日：2022-03-11
Applicant: Adobe Inc.
Inventor： Meet Patel , Mayur Hemani , Karanjeet Singh , Amit Gupta , Apoorva Gupta , Balaji Krishnamurthy
Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing deep learning to intelligently determine compression settings for compressing a digital image. For instance, the disclosed system utilizes a neural network to generate predicted perceptual quality values for compression settings on a compression quality scale. The disclosed system fits the predicted compression distortions to a perceptual distortion characteristic curve for interpolating predicted perceptual quality values across the compression settings on the compression quality scale. Additionally, the disclosed system then performs a search over the predicted perceptual quality values for the compression settings along the compression quality scale to select a compression setting based on a perceptual quality threshold. The disclosed system generates a compressed digital image according to compression parameters for the selected compression setting.
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公开(公告)号：US11223663B1
公开(公告)日：2022-01-11
申请号：US16918531
申请日：2020-07-01
Applicant: Adobe Inc.
Inventor： Niranjan Shivanand Kumbi , Varinder Kumar , Uddhab Pant , Aditya Bindal , Amit Gupta , Lakshay Tanwar , Reddy Sreekanth , Ajay Awatramani
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for initiating electronic chats based on conversation workflows identified in response to detected user actions in connection with an embedded document container displaying a PDF file. In particular, in one or more embodiments, the disclosed systems detect user interactions with a PDF file displayed by a document container embedded in a webpage. The disclosed systems can determine whether the detected user interactions include or indicate a conversation workflow trigger associated with a conversation workflow. The disclosed systems can further generate electronic messages based on the conversation workflow and provide the generated electronic messages to the user in connection with the webpage where the document container is embedded.
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公开(公告)号：US20220006846A1
公开(公告)日：2022-01-06
申请号：US16918531
申请日：2020-07-01
Applicant: Adobe Inc.
Inventor： Niranjan Shivanand Kumbi , Varinder Kumar , Uddhab Pant , Aditya Bindal , Amit Gupta , Lakshay Tanwar , Reddy Sreekanth , Ajay Awatramani
Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for initiating electronic chats based on conversation workflows identified in response to detected user actions in connection with an embedded document container displaying a PDF file. In particular, in one or more embodiments, the disclosed systems detect user interactions with a PDF file displayed by a document container embedded in a webpage. The disclosed systems can determine whether the detected user interactions include or indicate a conversation workflow trigger associated with a conversation workflow. The disclosed systems can further generate electronic messages based on the conversation workflow and provide the generated electronic messages to the user in connection with the webpage where the document container is embedded.
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公开(公告)号：US12204964B2
公开(公告)日：2025-01-21
申请号：US18177636
申请日：2023-03-02
Applicant: Adobe Inc.
Inventor： Sumeet Khurana , Shvet Chakra , Nipun Poddar , Naveen Prakash Goel , Amit Gupta
Abstract: Methods and systems are provided for facilitating implementation of machine learning models in embedded software. In embodiments, a lean machine learning model, having a limited number of layers, is trained in association with a complex machine learning model, having a greater number of layers. To this end, a complex machine learning model, having a first number of layers, can be trained based on an output generated from a lean machine learning model used as input to the complex machine learning model. Further, the lean machine learning model, having a second number of layers less than the first number of layers, is trained using a loss value generated in association with training the complex machine learning model. Thereafter, the trained lean machine learning model can be provided for implementation in an embedded software.
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