公开(公告)号：US12008033B2

公开(公告)日：2024-06-11

申请号：US17447908

申请日：2021-09-16

Applicant: ADOBE INC.

Inventor： Yaman Kumar ,  Vinh Ngoc Khuc ,  Vijay Srivastava ,  Umang Moorarka ,  Sukriti Verma ,  Simra Shahid ,  Shirsh Bansal ,  Shankar Venkitachalam ,  Sean Steimer ,  Sandipan Karmakar ,  Nimish Srivastav ,  Nikaash Puri ,  Mihir Naware ,  Kunal Kumar Jain ,  Kumar Mrityunjay Singh ,  Hyman Chung ,  Horea Bacila ,  Florin Silviu Iordache ,  Deepak Pai ,  Balaji Krishnamurthy

IPC: G06F7/02 ,  G06F16/00 ,  G06F16/535 ,  G06F16/54 ,  G06F16/58 ,  G06F16/583 ,  G06N20/00

CPC classification number: G06F16/5866 ,  G06F16/535 ,  G06F16/54 ,  G06F16/583 ,  G06N20/00

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.

公开(公告)号：US20240312087A1

公开(公告)日：2024-09-19

申请号：US18360919

申请日：2023-07-28

Applicant: ADOBE INC.

Inventor： Shradha Agrawal ,  Debraj Debashish Basu ,  Deepak Pai ,  Nimish Srivastav ,  Meghanath Macha ,  Ambareesh Revanur

IPC: G06T11/60 ,  G06F40/186 ,  G06F40/40 ,  G06Q30/0241 ,  G06T7/90

CPC classification number: G06T11/60 ,  G06F40/186 ,  G06F40/40 ,  G06Q30/0276 ,  G06T7/90 ,  G06T2207/10024 ,  G06T2207/20081

Abstract: Systems and methods for document processing are provided. One aspect of the systems and methods includes identifying a theme and an input image of a product. Another aspect of the systems and methods includes generating an output image depicting the product and the theme based on the input image using an image generation model that is trained to generate images consistent with a brand. Another aspect of the systems and methods includes generating text based on the product and the theme using a text generation model. Another aspect of the systems and methods includes generating custom content consistent with the brand and the theme based on the output image and the text.

公开(公告)号：US20240289380A1

公开(公告)日：2024-08-29

申请号：US18656332

申请日：2024-05-06

Applicant: Adobe Inc.

Inventor： Yaman Kumar ,  Vinh Ngoc Khuc ,  Vijay Srivastava ,  Umang Moorarka ,  Sukriti Verma ,  Simra Shahid ,  Shirsh Bansal ,  Shankar Venkitachalam ,  Sean Steimer ,  Sandipan Karmakar ,  Nimish Srivastav ,  Nikaash Puri ,  Mihir Naware ,  Kunal Kumar Jain ,  Kumar Mrityunjay Singh ,  Hyman Chung ,  Horea Bacila ,  Florin Silviu Lordache ,  Deepak Pai ,  Balaji Krishnamurthy

IPC: G06F16/58 ,  G06F16/535 ,  G06F16/54 ,  G06F16/583 ,  G06N20/00

CPC classification number: G06F16/5866 ,  G06F16/535 ,  G06F16/54 ,  G06F16/583 ,  G06N20/00

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.

公开(公告)号：US20230085466A1

公开(公告)日：2023-03-16

申请号：US17447908

申请日：2021-09-16

Applicant: ADOBE INC.

Inventor： Yaman Kumar ,  Vinh Ngoc Khuc ,  Vijay Srivastava ,  Umang Moorarka ,  Sukriti Verma ,  Simra Shahid ,  Shirsh Bansal ,  Shankar Venkitachalam ,  Sean Steimer ,  Sandipan Karmakar ,  Nimish Srivastav ,  Nikaash Puri ,  Mihir Naware ,  Kunal Kumar Jain ,  Kumar Mrityunjay Singh ,  Hyman Chung ,  Horea Bacila ,  Florin Silviu Iordache ,  Deepak Pai ,  Balaji Krishnamurthy

IPC: G06F16/58 ,  G06N20/00 ,  G06F16/535 ,  G06F16/583 ,  G06F16/54

Abstract: Methods, computer systems, computer-storage media, and graphical user interfaces are provided for determining user affinities by tracking historical user interactions with tagged digital content and using the user affinities in content generation applications. Accordingly, the system may track user interactions with published digital content in order to generate user interaction reports whenever a user engages with the digital content. The system may aggregate the interaction reports to generate an affinity profile for a user or audience of users. A marketer may then generate digital content for a target user or audience of users and the system may process the digital content to generate a set of tags for the digital content. Based on the set of tags, the system may then evaluate the digital content in view of the affinity profile for the target user/audience to determine similarities or differences between the digital content and the affinity profile.

公开(公告)号：US20240420009A1

公开(公告)日：2024-12-19

申请号：US18210756

申请日：2023-06-16

Applicant: Adobe Inc.

Inventor： Nimish Srivastav ,  Vijay Srivastava ,  Deepak Pai

IPC: G06N20/00

Abstract: Multi-factor metric drift evaluation and attribution techniques are described. A drift attribution model is trained to compute, for a segment of input data that defines an observed value for a metric and observed values for each of a plurality of factors that influence the value of the metric, a contribution by each of the plurality of factors to the observed metric value. Drift observations output by the trained drift attribution model are further processed using a Shapely explainer to represent contributions of each of the metric factors, and their associated values, relative to one or more observed values of a metric during the time segment. The respective magnitude by which each metric factor affects an observed value of the metric is described in a metric drift report, which objectively quantifies respective impacts of a factor, relative to other factors that affect a metric.

公开(公告)号：US20240362821A1

公开(公告)日：2024-10-31

申请号：US18140543

申请日：2023-04-27

Applicant: Adobe Inc.

Inventor： Nimish Srivastav ,  Shankar Venkitachalam ,  Satya Deep Maheshwari ,  Mihir Naware ,  Deepak Pai

IPC: G06T7/90 ,  G06T5/40 ,  G06V10/25 ,  G06V10/56

CPC classification number: G06T7/90 ,  G06T5/40 ,  G06V10/25 ,  G06V10/56 ,  G06T2207/10024

Abstract: In implementations of systems for generating image metadata using a compact color space, a computing device implements a color system to receive input data describing pixels of a digital image and corresponding RGB values of the pixels. The color system assigns a color of a compact color space to each of the pixels based on the corresponding RGB values of the pixels. The compact color space includes a subset of colors included in an RGB color space. The color system computes a histogram of colors of the compact color space and determines a particular color of the compact color space based on the histogram. The color system generates color metadata for the digital image describing a natural language name of the particular color of the compact color space.