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公开(公告)号：US20240119122A1
公开(公告)日：2024-04-11
申请号：US18045542
申请日：2022-10-11
Applicant: ADOBE INC.
Inventor： Shripad Vilasrao Deshmukh , Surgan Jandial , Abhinav Java , Milan Aggarwal , Mausoom Sarkar , Arneh Jain , Balaji Krishnamurthy
IPC: G06K9/62
CPC classification number: G06K9/6269 , G06K9/6259 , G06K9/6285
Abstract: Systems and methods for data augmentation are provided. One aspect of the systems and methods include receiving an image that is misclassified by a classification network; computing an augmentation image based on the image using an augmentation network; and generating an augmented image by combining the image and the augmentation image, wherein the augmented image is correctly classified by the classification network.
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公开(公告)号：US12124497B1
公开(公告)日：2024-10-22
申请号：US18190686
申请日：2023-03-27
Applicant: Adobe Inc.
Inventor： Abhinav Java , Surgan Jandial , Shripad Vilasrao Deshmukh , Milan Aggarwal , Mausoom Sarkar , Balaji Krishnamurthy , Arneh Jain
IPC: G06F16/383 , G06F16/332 , G06V30/19 , G06V30/412
CPC classification number: G06F16/383 , G06F16/332 , G06V30/19147 , G06V30/412
Abstract: Form structure similarity detection techniques are described. A content processing system, for instance, receives a query snippet that depicts a query form structure. The content processing system generates a query layout string that includes semantic indicators to represent the query form structure and generates candidate layout strings that represent form structures from a target document. The content processing system calculates similarity scores between the query layout string and the candidate layout strings. Based on the similarity scores, the content processing system generates a target snippet for display that depicts a form structure that is structurally similar to the query form structure. The content processing system is further operable to generate a training dataset that includes image pairs of snippets depicting form structures that are structurally similar. The content processing system utilizes the training dataset to train a machine learning model to perform form structure similarity matching.
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公开(公告)号：US11886803B1
公开(公告)日：2024-01-30
申请号：US18153595
申请日：2023-01-12
Applicant: Adobe Inc.
Inventor： Arneh Jain , Salil Taneja , Puneet Mangla , Gaurav Ahuja
IPC: G06F17/00 , G06F40/174 , G06F40/40
CPC classification number: G06F40/174 , G06F40/40
Abstract: In implementations of systems for assistive digital form authoring, a computing device implements an authoring system to receive input data describing a search input associated with a digital form. The authoring system generates an input embedding vector that represents the search input in a latent space using a machine learning model trained on training data to generate embedding vectors in the latent space. A candidate embedding vector included in a group of candidate embedding vectors is identified based on a distance between the input embedding vector and the candidate embedding vector in the latent space. The authoring system generates an indication of a search output associated with the digital form for display in a user interface based on the candidate embedding vector.
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公开(公告)号：US20190138585A1
公开(公告)日：2019-05-09
申请号：US15806494
申请日：2017-11-08
Applicant: Adobe Inc.
Inventor： Arneh Jain , Salil Taneja
Abstract: Digital form optimization techniques are disclosed which reduce the number of segments in empty digital forms that consumers of the empty digital forms need to complete. In some examples, a method may include determining potentially linkable segments in an empty digital form, determining a type of link to create for a potentially linkable segment of the potentially linkable segments, and providing a recommendation to create the determined type of link for the potentially linkable segment. The method may also include creating the determined type of link for the potentially linkable segment in response to a determination of an acceptance of the recommendation.
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公开(公告)号：US10599817B2
公开(公告)日：2020-03-24
申请号：US15063996
申请日：2016-03-08
Applicant: Adobe Inc.
Inventor： Salil Taneja , Arneh Jain
Abstract: Portion-level digital rights management (DRM) in digital content is described. In one or more embodiments, a selection of a portion of the digital content is received at a computing device. Then, a policy is assigned to the selected portion by adding a markup element with an identifier to the selected portion. Based on the assigned policy, the selected portion is encrypted without encrypting another portion of the digital content. Subsequently, access to the selected portion is controlled based on the policy independently of the other portion. In this way, different portions of a single document can be protected with different policies. Different users may then have access to different portions of the digital content based on their user ID being associated with a particular policy, which improves security and management of distributable digital content.
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Patent Agency Ranking
公开(公告)号：US10482171B2
公开(公告)日：2019-11-19
申请号：US15806494
申请日：2017-11-08
Applicant: Adobe Inc.
Inventor： Arneh Jain , Salil Taneja
Abstract: Digital form optimization techniques are disclosed which reduce the number of segments in empty digital forms that consumers of the empty digital forms need to complete. In some examples, a method may include determining potentially linkable segments in an empty digital form, determining a type of link to create for a potentially linkable segment of the potentially linkable segments, and providing a recommendation to create the determined type of link for the potentially linkable segment. The method may also include creating the determined type of link for the potentially linkable segment in response to a determination of an acceptance of the recommendation.
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公开(公告)号：US20240362941A1
公开(公告)日：2024-10-31
申请号：US18140143
申请日：2023-04-27
Applicant: Adobe Inc.
Inventor： Silky Singh , Surgan Jandial , Shripad Vilasrao Deshmukh , Milan Aggarwal , Mausoom Sarkar , Balaji Krishnamurthy , Arneh Jain , Abhinav Java
IPC: G06V30/262 , G06V30/14 , G06V30/19 , G06V30/414
CPC classification number: G06V30/274 , G06V30/1444 , G06V30/19147 , G06V30/414
Abstract: A corrective noise system receives an electronic version of a fillable form generated by a segmentation network and receives a correction to a segmentation error in the electronic version of the fillable form. The corrective noise system is trained to generate noise that represents the correction and superimpose the noise on the fillable form. The corrective noise system is further trained to identify regions in a corpus of forms that are semantically similar to a region that was subject to the correction. The generated noise is propagated to the semantically similar regions in the corpus of forms and the noisy corpus of forms is provided as input to the segmentation network. The noise causes the segmentation network to accurately identify fillable regions in the corpus of forms and output a segmented version of the corpus of forms having improved fidelity without retraining or otherwise modifying the segmentation network.
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公开(公告)号：US20240330351A1
公开(公告)日：2024-10-03
申请号：US18190686
申请日：2023-03-27
Applicant: Adobe Inc.
Inventor： Abhinav Java , Surgan Jandial , Shripad Vilasrao Deshmukh , Milan Aggarwal , Mausoom Sarkar , Balaji Krishnamurthy , Arneh Jain
IPC: G06F16/383 , G06F16/332 , G06V30/19 , G06V30/412
CPC classification number: G06F16/383 , G06F16/332 , G06V30/19147 , G06V30/412
Abstract: Form structure similarity detection techniques are described. A content processing system, for instance, receives a query snippet that depicts a query form structure. The content processing system generates a query layout string that includes semantic indicators to represent the query form structure and generates candidate layout strings that represent form structures from a target document. The content processing system calculates similarity scores between the query layout string and the candidate layout strings. Based on the similarity scores, the content processing system generates a target snippet for display that depicts a form structure that is structurally similar to the query form structure. The content processing system is further operable to generate a training dataset that includes image pairs of snippets depicting form structures that are structurally similar. The content processing system utilizes the training dataset to train a machine learning model to perform form structure similarity matching.
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公开(公告)号：US11600091B2
公开(公告)日：2023-03-07
申请号：US17327382
申请日：2021-05-21
Applicant: Adobe Inc.
Inventor： Mausoom Sarkar , Arneh Jain
IPC: G06K9/62 , G06V30/414 , G06T7/12 , G06N3/08 , G06V30/412 , G06V30/416
Abstract: Techniques for document segmentation. In an example, a document processing application segments an electronic document image into strips. A first strip overlaps a second strip. The application generates a first mask indicating one or more elements and element types in the first strip by applying a predictive model network to image content in the first strip and a prior mask generated from image content of the first strip. The application generates a second mask indicating one or more elements and element types in the second strip by applying the predictive model network to image content in the second strip and the first mask. The application computes, from a combined mask derived from the first mask and the second mask, an output electronic document that identifies elements in the electronic document and the respective element types.
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公开(公告)号：US20210279461A1
公开(公告)日：2021-09-09
申请号：US17327382
申请日：2021-05-21
Applicant: Adobe Inc.
Inventor： Mausoom Sarkar , Arneh Jain
Abstract: Techniques for document segmentation. In an example, a document processing application segments an electronic document image into strips. A first strip overlaps a second strip. The application generates a first mask indicating one or more elements and element types in the first strip by applying a predictive model network to image content in the first strip and a prior mask generated from image content of the first strip. The application generates a second mask indicating one or more elements and element types in the second strip by applying the predictive model network to image content in the second strip and the first mask. The application computes, from a combined mask derived from the first mask and the second mask, an output electronic document that identifies elements in the electronic document and the respective element types.
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