公开(公告)号：US20240354994A1

公开(公告)日：2024-10-24

申请号：US18303918

申请日：2023-04-20

Applicant: Adobe Inc.

Inventor： Jose Ignacio Echevarria Vallespi ,  Michelle Mee-June Lee ,  Jacob Benjamin Hanson-regalado ,  Irgelkha Mejia

IPC: G06T7/90 ,  G06Q30/0601 ,  G06T7/10

CPC classification number: G06T7/90 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06T7/10 ,  G06T2200/24 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/30196

Abstract: In implementation of automated colorimetry techniques supporting color classification, a computing device implements a color coordination system to receive a digital image depicting a person. The color coordination system then identifies a color classification for the person based on the digital image, the color classification associated with a color recommendation that is represented as a color distribution. The color coordination system identifies an item associated with a color of the color recommendation by identifying a point of the color distribution associated with a color of the item that is within a threshold distance from a point associated with the color of the color recommendation. Then, the color coordination system displays a recommendation that includes the item in a user interface.

公开(公告)号：US20230252027A1

公开(公告)日：2023-08-10

申请号：US17666383

申请日：2022-02-07

Applicant: ADOBE INC.

Inventor： Irgelkha Mejia ,  Michele Saad ,  Ronald Eduardo Oribio ,  Robert Burke, Jr.

IPC: G06F16/2455 ,  G06F16/242 ,  G06F16/248

CPC classification number: G06F16/24553 ,  G06F16/2445 ,  G06F16/248

Abstract: The present technology provides for facilitating removal of undesired search results. In one embodiment, a search request including a search term(s) to use for performing a search is obtained. Thereafter, a search query is generated to execute the search. The search query includes the search terms and a removal parameter indicating a particular search result to exclude from search results returned in response to the search request. A set of search results are provided for display via a user device. Such a set of search results can be identified based on execution of the search query and exclude the particular search result.

公开(公告)号：US12243288B2

公开(公告)日：2025-03-04

申请号：US17704030

申请日：2022-03-25

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Ronald Oribio ,  Robert W. Burke, Jr. ,  Irgelkha Mejia

IPC: G06V10/764 ,  G06T3/10 ,  G06T7/10 ,  G06T7/90 ,  G06V10/56 ,  G06V10/60 ,  G06V10/75 ,  G06V10/774

Abstract: Certain aspects and features of this disclosure relate to chromatic undertone detection. For example, a method involves receiving an image file and producing, using a color warmth classifier, an image warmth profile from the image file. The method further involves applying a surface-image-trained machine-learning model to the image warmth profile to produce an inferred undertone value for the image file. The method further involves comparing, using a recommendation module, and the inferred undertone value, an image color value to a plurality of pre-existing color values corresponding to a database of production images, and causing, in response to the comparing, interactive content including the at least one production image selection from the database of production images to be provided on a recipient device.

公开(公告)号：US20250095221A1

公开(公告)日：2025-03-20

申请号：US18369924

申请日：2023-09-19

Applicant: Adobe Inc.

Inventor： Ajay Jain ,  Michele Saad ,  Irgelkha Mejia

IPC: G06T11/00 ,  G06F40/279 ,  G06V10/774 ,  G06V10/86

Abstract: In accordance with the described techniques, a background generation system receives one or more images depicting an object, and textual information describing the object. A generative text model is employed to generate a prompt based on the one or more images and the textual information. Further, a generative image model is employed to generate an output image. To do so, the generative image model generates a background image based on the prompt, and the object is incorporated into the background image. Using a visual saliency model, the background generation system determines a visual saliency defining a degree of fixation on the object within the output image. The background generation system outputs the output image based on the visual saliency meeting a threshold.

公开(公告)号：US11830099B2

公开(公告)日：2023-11-28

申请号：US17093175

申请日：2020-11-09

Applicant: Adobe Inc.

Inventor： Irgelkha Mejia ,  Ronald Oribio ,  Robert Burke ,  Michele Saad

IPC: G06Q10/10 ,  G06Q10/06 ,  G06Q30/06 ,  G06Q30/02 ,  G06Q40/08 ,  G06Q50/26 ,  G06F16/48 ,  G06F40/40 ,  G06F21/62 ,  G06N3/08 ,  G06Q10/0635 ,  G06Q50/00 ,  G06F3/0482

CPC classification number: G06Q50/265 ,  G06F16/48 ,  G06F21/6245 ,  G06F40/40 ,  G06N3/08 ,  G06Q10/0635 ,  G06Q10/10 ,  G06Q50/01 ,  G06F3/0482

Abstract: Systems and methods use machine learning models with content editing tools to prevent or mitigate inadvertent disclosure and dissemination of sensitive data. Entities associated with private information are identified by applying a trained machine learning model to a set of unstructured text data received via an input field of an interface. A privacy score is computed for the text data by identifying connections between the entities, the connections between the entities contributing to the privacy score according to a cumulative privacy risk, the privacy score indicating potential exposure of the private information. The interface is updated to include an indicator distinguishing a target portion of the set of unstructured text data within the input field from other portions of the set of unstructured text data within the input field, wherein a modification to the target portion changes the potential exposure of the private information indicated by the privacy score.

公开(公告)号：US20230259979A1

公开(公告)日：2023-08-17

申请号：US17670753

申请日：2022-02-14

Applicant: ADOBE INC.

Inventor： Irgelkha Mejia ,  Robert William Burke, JR. ,  Ronald Eduardo Oribio ,  Michele Saad

IPC: G06Q30/02 ,  G06N5/02

CPC classification number: G06Q30/0269 ,  G06Q30/0253 ,  G06N5/022

Abstract: Methods and systems are provided for facilitating identification of sensitive content. In embodiments described herein, a set of sensitive topics is obtained. Each sensitive topic in the set of sensitive topics can include subject matter that may be deemed sensitive to one or more individuals. Thereafter, the set of sensitive topics is expanded to an expanded set of sensitive topics using a first machine learning model. The expanded set of sensitive topics is used to train a second machine learning model to predict potential sensitive content in relation to input content.

公开(公告)号：US20220148113A1

公开(公告)日：2022-05-12

申请号：US17093175

申请日：2020-11-09

Applicant: Adobe Inc.

Inventor： Irgelkha Mejia ,  Ronald Oribio ,  Robert Burke ,  Michele Saad

IPC: G06Q50/26 ,  G06N3/08 ,  G06F16/48 ,  G06Q10/10 ,  G06Q50/00 ,  G06Q10/06 ,  G06F21/62 ,  G06F40/40

Abstract: Systems and methods use machine learning models with content editing tools to prevent or mitigate inadvertent disclosure and dissemination of sensitive data. Entities associated with private information are identified by applying a trained machine learning model to a set of unstructured text data received via an input field of an interface. A privacy score is computed for the text data by identifying connections between the entities, the connections between the entities contributing to the privacy score according to a cumulative privacy risk, the privacy score indicating potential exposure of the private information. The interface is updated to include an indicator distinguishing a target portion of the set of unstructured text data within the input field from other portions of the set of unstructured text data within the input field, wherein a modification to the target portion changes the potential exposure of the private information indicated by the privacy score.

公开(公告)号：US20240420212A1

公开(公告)日：2024-12-19

申请号：US18335921

申请日：2023-06-15

Applicant: Adobe Inc.

Inventor： Robert W. Burke, JR. ,  Ronald Oribio ,  Michele Saad ,  Irgelkha Mejia

IPC: G06Q30/0601 ,  G06F40/20

Abstract: A feedback management subsystem receives, from a first user, first text comprising commentary on an item. The feedback management subsystem receives, from the first user, instructions to request commentary on the item from a second user. Responsive to receiving the instructions to request commentary from the second user, a communication subsystem transmits a notification to the second user. The feedback management subsystem receives, from the second user, second text comprising commentary on the item. A first machine learning model performs sentiment analysis to identify sentiments of the first text and the second text. A recommendation subsystem identifies prior actions of the first user and associated sentiments of the second user. A second machine learning model identifies a second item based on the prior actions of the first user and the sentiments of the second user. The recommendation subsystem provides output to the first user recommending the second item.

公开(公告)号：US20240046399A1

公开(公告)日：2024-02-08

申请号：US18489399

申请日：2023-10-18

Applicant: Adobe Inc.

Inventor： Irgelkha Mejia ,  Ronald Oribio ,  Robert Burke ,  Michele Saad

IPC: G06Q50/26 ,  G06F16/48 ,  G06F40/40 ,  G06F21/62 ,  G06N3/08 ,  G06Q10/0635 ,  G06Q10/10 ,  G06Q50/00

CPC classification number: G06Q50/265 ,  G06F16/48 ,  G06F40/40 ,  G06F21/6245 ,  G06N3/08 ,  G06Q10/0635 ,  G06Q10/10 ,  G06Q50/01 ,  G06F3/0482

Abstract: Systems and methods use machine learning models with content editing tools to prevent or mitigate inadvertent disclosure and dissemination of sensitive data. Entities associated with private information are identified by applying a trained machine learning model to a set of unstructured text data received via an input field of an interface. A privacy score is computed for the text data by identifying connections between the entities, the connections between the entities contributing to the privacy score according to a cumulative privacy risk, the privacy score indicating potential exposure of the private information. The interface is updated to include an indicator distinguishing a target portion of the set of unstructured text data within the input field from other portions of the set of unstructured text data within the input field, wherein a modification to the target portion changes the potential exposure of the private information indicated by the privacy score.

公开(公告)号：US20250111643A1

公开(公告)日：2025-04-03

申请号：US18375881

申请日：2023-10-02

Applicant: Adobe Inc.

Inventor： Michele Saad ,  Irgelkha Mejia

IPC: G06F16/583 ,  G06F16/532 ,  G06V10/44 ,  G06V20/70

Abstract: Systems and methods for detecting object demands based on query images are provided. An image tagging module generates multiple image tags for a query image. An image content analyzer module analyzes the multiple query image tags based on a knowledge graph associated with an online platform to create query feature data. A theme identification module identifies one or more query themes based on aggregated query image feature data. A demand analysis module generates demand data indicating user demand for an object corresponding to the query theme by comparing the query theme to catalog data of the online platform.