公开(公告)号：US20240331210A1

公开(公告)日：2024-10-03

申请号：US18128906

申请日：2023-03-30

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Ajay Jain

IPC: G06T11/00 ,  G06N3/045 ,  G06N3/0475 ,  G06N3/094 ,  G06Q30/0601 ,  G06Q50/00

CPC classification number: G06T11/00 ,  G06N3/045 ,  G06N3/0475 ,  G06N3/094 ,  G06Q30/0631 ,  G06Q50/01

Abstract: Some embodiments described herein relate to systems and methods for parameter-based synthetic model generation and recommendations including an image generation module and a recommendation module. The image generation module can receive one or more parameters and, responsive to receive the one or more parameters, generate a parameterized image using a generative machine learning model. The generative ML model may use the parameters as a seed for generating the parameterized image. The recommendation module may generate a first set of recommendations for a user of the client device and receive the one or more parameters. The recommendation module may determine, based on the one or more parameters, a second set of recommendations for the user of the client device. The second set of recommendations may include at least one element from the first set of recommendations.

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.

公开(公告)号：US11604924B2

公开(公告)日：2023-03-14

申请号：US17148125

申请日：2021-01-13

Applicant: Adobe, Inc.

Inventor： Shagun Kush ,  Sachin Soni ,  Nikita Kapoor ,  Carl Iwan Dockhorn ,  Ashish Rawat ,  Ajay Jain ,  Abhishek Jain

IPC: G06F40/106 ,  G06F40/289 ,  G06F40/30

Abstract: Techniques are provided herein for generating improved document summaries that consider the amount of time that has passed since the user last accessed the document. The length of time that has passed since the user has accessed each previous portion of the document is used as a variable to determine how much the summary should focus on each of the previously read sections of the document. When a document is accessed by a user, a relevance score is assigned to content from previously accessed sections of that document, where the relevance score is weighted based on how long ago each of the sections was accessed by the user. Once the various content items of previous sections have been provided relevance scores, selected sentences with the highest relevance scores are fed to a deep learning sequence-to-sequence model is used to build the document summary.

公开(公告)号：US11475458B2

公开(公告)日：2022-10-18

申请号：US16527443

申请日：2019-07-31

Applicant: ADOBE INC.

Inventor： Ajay Jain ,  Eric Kienle ,  Sachin Soni ,  Sanjeev Tagra

IPC: G06F17/00 ,  G06Q30/00 ,  H04L67/06 ,  H04L67/10 ,  G06F40/169 ,  H04L67/01

Abstract: The present disclosure relates to a cloud-based system including a server for generating and nurturing leads using within-a document lead nurturing. The server enables a marketer to generate initial content and contextual content, specify a consumption condition with respect to the initial content, and generate an electronic file including the initial content and executable code configured to monitor consumption of the initial content. A user (e.g., possible lead) uses a reader program of their device to open the electronic file, which presents the initial content and triggers execution of an instruction of the executable code to monitor interactions of the user with the initial content to determine whether the consumption condition has been satisfied. The reader program executes another instruction of the executable code to present the contextual content and notify the server that the user is a possible lead, when the consumption condition is satisfied.

公开(公告)号：US11314725B2

公开(公告)日：2022-04-26

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: G06F17/00 ,  G06F16/23 ,  G06N20/00 ,  G06F3/04847 ,  G06F40/166 ,  G06F40/289 ,  G06N5/04

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：US11036348B2

公开(公告)日：2021-06-15

申请号：US16519796

申请日：2019-07-23

Applicant: Adobe Inc.

Inventor： Ajay Jain ,  Sanjeev Tagra ,  Sachin Soni ,  Eric Andrew Kienle

IPC: G06F3/0481 ,  G06Q30/02 ,  H04L29/08

Abstract: In implementations of user interaction determination within a webinar system, a computing device implements a webinar system that exposes interactive elements on user devices during a webinar and monitors device interactions reflecting user interactions with webinar content on the user devices. The webinar system determines amounts of user interaction based on the device interactions, and can output the interactive elements based on the device interactions. The webinar system can receive user responses to the interactive elements, and maintain a pipeline that assigns levels to the users based on the user responses and the interactive elements. Users are determined as sales leads based on the levels for the users in the pipeline.

公开(公告)号：US10939044B1

公开(公告)日：2021-03-02

申请号：US16552411

申请日：2019-08-27

Applicant: Adobe Inc.

Inventor： Sanjeev Tagra ,  Sachin Soni ,  Ajay Jain ,  Ajay Bedi

IPC: H04N5/232 ,  H04N5/345 ,  H04N19/132 ,  G06K9/32 ,  G06K9/74 ,  G06T7/194 ,  G06T7/11 ,  G06T7/12 ,  G06N20/00

Abstract: A system obtains an image from a digital image stream captured by an imaging component. Both a foreground region of interest and a background region of interest present in the obtained image are identified, and the imaging component is zoomed out as appropriate to maintain a margin (a number of pixels) around both the foreground region of interest and the background region of interest. Additionally, a position of regions of interest (e.g., the background region of interest and the foreground region of interest) to improve the composition or aesthetics of the image is determined, and a composition score of the image indicating how good the determined position is from an aesthetics point of view is determined. A zoom adjustment value is determined based on the position of the regions of interest, and the imaging component is caused to zoom in or out in accordance with the zoom adjustment value.

公开(公告)号：US10855785B2

公开(公告)日：2020-12-01

申请号：US16185925

申请日：2018-11-09

Applicant: Adobe Inc.

Inventor： Ajay Jain ,  Sanjeev Tagra ,  Sachin Soni

IPC: G06F15/16 ,  H04L29/08 ,  G09B7/00 ,  H04L29/06

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：US20200236438A1

公开(公告)日：2020-07-23

申请号：US16250599

申请日：2019-01-17

Applicant: Adobe Inc.

Inventor： Sanjeev Tagra ,  Sachin Soni ,  Ajay Jain

IPC: H04N21/472 ,  H04N21/845 ,  H04N21/6587 ,  H04N21/262 ,  G06F3/0485 ,  H04N21/43

Abstract: Navigating a video recording based on changes in views of the recording's visual content is described. A content-based navigation system receives a recording including visual content and audio content. The content-based navigation system then determines a content scale for navigating the recording relative to an overall number of new or updated views of visual content during playback of the recording. Given the content scale, the content-based navigation system generates a content navigation control that enables navigating the recording at a granularity defined by the overall number of new or updated views of the recording's visual content. Navigation via the content navigation control is thus independent of time between changes to views of the recording's visual content during playback. Input to the content navigation control causes output of a different view of the recording's visual content, and optionally causes output of audio content synchronized with the different view of visual content.