公开(公告)号：US12136287B2

公开(公告)日：2024-11-05

申请号：US17651433

申请日：2022-02-17

Applicant: Adobe Inc.

Inventor： Sanjeev Tagra ,  Shawn Alan Gaither ,  Shagun Kush ,  Samarth Gupta ,  Sachin Soni ,  Nikolaos Barmpalios ,  Abhishek Jain ,  Naqushab Neyazee

IPC: G06F17/00 ,  G06F40/106 ,  G06F40/114 ,  G06V30/414 ,  G06V30/416

Abstract: Techniques are disclosed for identifying asides within a document, and detecting a display order of contents based of the identified asides. In a document, an “aside” represents a content region of the document that is distinct from the main content regions, and may be visually distinguishable from the main content region. In an example, a document is received, where the document lacks identification of asides. The document is analyzed to identify asides within the document. A display order of contents within the document is then determined, based on the identified asides. For example, in the display order, the asides are ordered between two segments of the main content and/or at a beginning or an end of the main content, but may not be ordered to be embedded in between a segment of the main content. The document is displayed in accordance with the display order.

公开(公告)号：US20230334121A1

公开(公告)日：2023-10-19

申请号：US18213641

申请日：2023-06-23

Applicant: Adobe Inc.

Inventor： Arshiya Aggarwal ,  Sanjeev Tagra ,  Sachin Soni ,  Ryan Rozich ,  Prasenjit Mondal ,  Jonathan Roeder ,  Ajay Jain

IPC: G06F18/22 ,  G06N5/04 ,  G06T5/50 ,  G06V10/40 ,  G06F18/2113

CPC classification number: G06F18/22 ,  G06N5/04 ,  G06T5/50 ,  G06V10/40 ,  G06F18/2113 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: An image differentiation system receives input feature vectors for multiple input images and reference feature vectors for multiple reference images. In some cases, the feature vectors are extracted by an image feature extraction module trained based on training image triplets. A differentiability scoring module determines a differentiability score for each input image based on a distance between the input feature vectors and the reference feature vectors. The distance for each reference feature vector is modified by a weighting factor based on interaction metrics associated with the corresponding reference image. In some cases, an input image is identified as a differentiated image based on the corresponding differentiability score. Additionally or alternatively, an image modification module determines an image modification that increases the differentiability score of the input image. The image modification module generates a recommended image by applying the image modification to the input image.

公开(公告)号：US11256913B2

公开(公告)日：2022-02-22

申请号：US16598680

申请日：2019-10-10

Applicant: Adobe Inc.

Inventor： Sanjeev Tagra ,  Shawn Alan Gaither ,  Shagun Kush ,  Samarth Gupta ,  Sachin Soni ,  Nikolaos Barmpalios ,  Abhishek Jain ,  Naqushab Neyazee

IPC: G06F17/00 ,  G06K9/00 ,  G06F40/106 ,  G06F40/114

Abstract: Techniques are disclosed for identifying asides within a document, and detecting a display order of contents based of the identified asides. In a document, an “aside” represents a content region of the document that is distinct from the main content regions, and may be visually distinguishable from the main content region. In an example, a document is received, where the document lacks identification of asides. The document is analyzed to identify asides within the document. A display order of contents within the document is then determined, based on the identified asides. For example, in the display order, the asides are ordered between two segments of the main content and/or at a beginning or an end of the main content, but may not be ordered to be embedded in between a segment of the main content. The document is displayed in accordance with the display order.

公开(公告)号：US20220035789A1

公开(公告)日：2022-02-03

申请号：US16941291

申请日：2020-07-28

Applicant: Adobe Inc.

Inventor： Ajay Jain ,  Sanjeev Tagra ,  Nitish Maurya ,  Sachin Soni ,  Abhishek Jain

IPC: G06F16/23 ,  G06N20/00 ,  G06N5/04 ,  G06F40/166 ,  G06F40/289 ,  G06F3/0484

Abstract: In some embodiments, a review application accesses a review file containing a text-based comment describing a change to an object in a design file. The design file is created and editable in a design application different from the review application. The review application determines, from the text-based comment, a tool in the design application configured to implement the change to the object described in the text-based comment. The review application updates the user interface to include a user interface of the tool along with the text-based comment and receives, through the user interface of the tool, a confirmation of applying the change to the object in the design file. The review application further causes the change to the object to be applied to the design file.

公开(公告)号：US11216998B2

公开(公告)日：2022-01-04

申请号：US17125714

申请日：2020-12-17

Applicant: Adobe Inc.

Inventor： Sanjeev Tagra ,  Sachin Soni ,  Prasenjit Mondal ,  Ajay Jain

IPC: G06T11/60 ,  G06T17/20 ,  G06T7/90 ,  G06T7/10

Abstract: In implementations of jointly editing related objects in a digital image, an image editing application segments a first object in a digital image, and an additional object corresponding to the first object, such a shadow cast by the first object, a reflection of the first object, or an object of a same object class as the first object. Respective stick diagrams for the first object and the additional object are generated, and a mapping of the first object to the additional object is generated based on the stick diagrams. Based on a user request to edit the first object, such as to warp the first object, the first object and the additional object are jointly edited based on the mapping. Accordingly, realistic digital images are efficiently generated that maintain correspondence between related objects, without requiring a user to edit each object individually, thus saving time and resources.

公开(公告)号：US20200302152A1

公开(公告)日：2020-09-24

申请号：US16359378

申请日：2019-03-20

Applicant: Adobe Inc.

Inventor： Sanjeev Tagra ,  Sachin Soni ,  Prasenjit Mondal ,  Ajay Jain

IPC: G06K9/00 ,  G06K9/62 ,  G06F21/32

Abstract: Methods, systems, and software are disclosed herein for protecting the privacy of users in images and to prevent or mitigate the occurrence of privacy breaches. In an implementation, a biometric privacy service identifies a biometric marker in an image of a scene, such as a fingerprint, a retina, or an iris. The service then identifies one or more features of the biometric marker to be modified. The biometric service also identifies one or more modifications to make to the one or more features of the biometric marker and generates a modified version of the biometric marker that reflects the modification(s). The image is updated by the service with the modified version of the biometric marker, so that the biometric marker can no longer be used for unwanted purposes, whether they be malicious in intent or benign.

公开(公告)号：US20200153915A1

公开(公告)日：2020-05-14

申请号：US16185925

申请日：2018-11-09

Applicant: Adobe Inc.

Inventor： Ajay Jain ,  Sanjeev Tagra ,  Sachin Soni

IPC: H04L29/08 ,  H04L29/06 ,  G09B7/00

Abstract: In implementations of a participant engagement detection and control system for online sessions, a computing device implements a participant engagement system to monitor user actions of participants during an online session, and track engagement levels of the participants by mapping the user actions and content of the online session to a timeline of the online session. Engagement scores for the participants are determined based on the mapping of the user actions and the content at each time interval of the timeline. Low-engagement participants having a probability of dropping out of the online session are determined based on the engagement scores. Engaging content is selected as determined to increase an engagement level of the low-engagement participants, and the engaging content is communicated to the low-engagement participants. Furthermore, the engaging content and identifiers of the low-engagement participants can be communicated to a presenter of the online session.

公开(公告)号：US20250104305A1

公开(公告)日：2025-03-27

申请号：US18372625

申请日：2023-09-25

Applicant: Adobe Inc.

Inventor： Sanjeev Tagra ,  Sachin Soni ,  Prasenjit Mondal ,  Ajay Jain

IPC: G06T11/60 ,  G06T7/11 ,  G06T7/73 ,  G06V10/70 ,  G06V40/10

Abstract: Systems and methods are disclosed for reflowing documents to display semantically related content. Embodiments may include receiving a request to view a document that includes body text and one or more images. A trimodal document relationship model identifies relationships between segments of the body text and the one or more images. A linearized view of the document is generated based on the relationships and the linearized view is caused to be displayed on a user device.

公开(公告)号：US11921777B2

公开(公告)日：2024-03-05

申请号：US17729515

申请日：2022-04-26

Applicant: Adobe Inc.

Inventor： Ajay Jain ,  Sanjeev Tagra ,  Sachin Soni ,  Ryan Timothy Rozich ,  Nikaash Puri ,  Jonathan Stephen Roeder

IPC: G06F16/583 ,  G06F16/535 ,  G06F16/9535 ,  G06F18/214 ,  G06F18/22 ,  G06F18/24 ,  G06N3/045 ,  G06N3/047 ,  G06N3/08 ,  G06N20/00 ,  G06Q30/0251 ,  G06Q30/0601 ,  G06F16/957

CPC classification number: G06F16/583 ,  G06F16/535 ,  G06F16/9535 ,  G06F18/214 ,  G06F18/22 ,  G06F18/24 ,  G06N3/045 ,  G06N3/047 ,  G06N3/08 ,  G06N20/00 ,  G06Q30/0254 ,  G06Q30/0255 ,  G06Q30/0261 ,  G06Q30/0269 ,  G06Q30/0621 ,  G06Q30/0641 ,  G06F16/9577 ,  G06V2201/10

Abstract: Digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. The plurality of digital images each capture the object for inclusion as part of generating digital content, e.g., a webpage, a thumbnail to represent a digital video, and so on. In one example, digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. As a result, the service provider system may select a digital image of an object from a plurality of digital images of the object that has an increased likelihood of achieving a desired outcome and may address the multitude of different ways in which an object may be presented to a user.

公开(公告)号：US20240054991A1

公开(公告)日：2024-02-15

申请号：US17887959

申请日：2022-08-15

Applicant: Adobe Inc.

Inventor： Ajay Jain ,  Sanjeev Tagra ,  Sachin Soni ,  Ryan Rozich ,  Nikaash Puri ,  Jonathan Roeder

IPC: G10L15/06 ,  G06V10/774 ,  G10L15/183 ,  G06F40/284 ,  G06F40/30 ,  G06F3/16 ,  G10L15/22 ,  G06F16/532

CPC classification number: G10L15/063 ,  G06V10/7747 ,  G10L15/183 ,  G06F40/284 ,  G06F40/30 ,  G06F3/167 ,  G10L15/22 ,  G06F16/532

Abstract: An image search system uses a multi-modal model to determine relevance of images to a spoken query. The multi-modal model includes a spoken language model that extracts features from spoken query and a language processing model that extract features from an image. The multi-model model determines a relevance score for the image and the spoken query based on the extracted features. The multi-modal model is trained using a curriculum approach that includes training the spoken language model using audio data. Subsequently, a training dataset comprising a plurality of spoken queries and one or more images associated with each spoken query is used to jointly train the spoken language model and an image processing model to provide a trained multi-modal model.