公开(公告)号：US20240355020A1

公开(公告)日：2024-10-24

申请号：US18304534

申请日：2023-04-21

Applicant: Adobe Inc.

Inventor： Yaman Kumar ,  Somesh Singh ,  Seoyoung Park ,  Pranjal Prasoon ,  Nithyakala Sainath ,  Nisarg Shailesh Joshi ,  Nikitha Srikanth ,  Nikaash Puri ,  Milan Aggarwal ,  Jayakumar Subramanian ,  Ganesh Palwe ,  Balaji Krishnamurthy ,  Matthew William Rozen ,  Mihir Naware ,  Hyman Chung

IPC: G06T11/60 ,  G06N20/20

CPC classification number: G06T11/60 ,  G06N20/20

Abstract: In implementations of systems for digital content analysis, a computing device implements an analysis system to extract a first content component and a second content component from digital content to be analyzed based on content metrics. The analysis system generates first embeddings using a first machine learning model and second embedding using a second machine learning model. The first embeddings and the second embeddings are combined as concatenated embeddings. The analysis system generates an indication of a content metric for display in a user interface using a third machine learning model based on the concatenated embeddings.

公开(公告)号：US11907508B1

公开(公告)日：2024-02-20

申请号：US18133725

申请日：2023-04-12

Applicant: Adobe Inc.

Inventor： Yaman Kumar ,  Somesh Singh ,  William Brandon George ,  Timothy Chia-chi Liu ,  Suman Basetty ,  Pranjal Prasoon ,  Nikaash Puri ,  Mihir Naware ,  Mihai Corlan ,  Joshua Marshall Butikofer ,  Abhinav Chauhan ,  Kumar Mrityunjay Singh ,  James Patrick O'Reilly ,  Hyman Chung ,  Lauren Dest ,  Clinton Hansen Goudie-Nice ,  Brandon John Pack ,  Balaji Krishnamurthy ,  Kunal Kumar Jain ,  Alexander Klimetschek ,  Matthew William Rozen

IPC: G06F3/0484 ,  G06F18/2415 ,  G06V10/40 ,  G06V10/764 ,  G06F3/0482 ,  G06T11/20 ,  G06F40/166 ,  G06F40/151

CPC classification number: G06F3/0484 ,  G06F3/0482 ,  G06F18/2415 ,  G06F40/151 ,  G06F40/166 ,  G06T11/206 ,  G06V10/40 ,  G06V10/764 ,  G06T2200/24

Abstract: Content creation techniques are described that leverage content analytics to provide insight and guidance as part of content creation. To do so, content features are extracted by a content analytics system from a plurality of content and used by the content analytics system as a basis to generate a content dataset. Event data is also collected by the content analytics system from an event data source. Event data describes user interaction with respective items of content, including subsequent activities in both online and physical environments. The event data is then used to generate an event dataset. An analytics user interface is then generated by the content analytics system using the content dataset and the event dataset and is usable to guide subsequent content creation and editing.

公开(公告)号：US11593438B2

公开(公告)日：2023-02-28

申请号：US17314651

申请日：2021-05-07

Applicant: Adobe Inc.

Inventor： Jonas Dahl ,  Sudheer Tumu ,  Nithyanand Kota ,  Mihir Naware ,  Maneesh Dewan ,  Jatin Chhugani ,  Ganesh Satish Mallya

IPC: G06F16/906 ,  G06N3/02 ,  G06F16/16 ,  G06V10/48

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for clustering media items in a semantic space to generate theme-based folders that organize media items by content theme. In particular, the disclosed systems can access media items that are stored in an original folder structure. The disclosed systems can generate content-based tags for each media item in a collection of media items. Based on the generated tags, the disclosed systems can map the collection of media items to a semantic space and cluster the collection of media items. The disclosed systems determine themes for the clusters based on the generated tags. The disclosed systems can present a media item navigation graphical user interface comprising the collection of media items organized by themes. The disclosed system can present the media item navigation graphical user interface without altering the original folder structure.

公开(公告)号：US20240345707A1

公开(公告)日：2024-10-17

申请号：US18409638

申请日：2024-01-10

Applicant: Adobe Inc.

Inventor： Yaman Kumar ,  Somesh Singh ,  William Brandon George ,  Timothy Chia-chi Liu ,  Suman Basetty ,  Pranjal Prasoon ,  Nikaash Puri ,  Mihir Naware ,  Mihai Corlan ,  Joshua Marshall Butikofer ,  Abhinav Chauhan ,  Kumar Mrityunjay Singh ,  James Patrick O'Reilly ,  Hyman Chung ,  Lauren Dest ,  Clinton Hansen Goudie-Nice ,  Brandon John Pack ,  Balaji Krishnamurthy ,  Kunal Kumar Jain ,  Alexander Klimetschek ,  Matthew William Rozen

IPC: G06F3/0484 ,  G06F3/0482 ,  G06F18/2415 ,  G06F40/151 ,  G06F40/166 ,  G06T11/20 ,  G06V10/40 ,  G06V10/764

CPC classification number: G06F3/0484 ,  G06F3/0482 ,  G06F18/2415 ,  G06F40/151 ,  G06F40/166 ,  G06T11/206 ,  G06V10/40 ,  G06V10/764 ,  G06T2200/24

Abstract: Content creation techniques are described that leverage content analytics to provide insight and guidance as part of content creation. To do so, content features are extracted by a content analytics system from a plurality of content and used by the content analytics system as a basis to generate a content dataset. Event data is also collected by the content analytics system from an event data source. Event data describes user interaction with respective items of content, including subsequent activities in both online and physical environments. The event data is then used to generate an event dataset. An analytics user interface is then generated by the content analytics system using the content dataset and the event dataset and is usable to guide subsequent content creation and editing.

公开(公告)号：US20240320475A1

公开(公告)日：2024-09-26

申请号：US18477650

申请日：2023-09-29

Applicant: ADOBE INC.

Inventor： Rebecca Dorothy West ,  Lauren Dest ,  Mihir Naware ,  Elliot Axel Patrick Puzenat ,  Stephen Becigneul ,  Alexis Tessier ,  Suman Basetty ,  Kimberly K. Lenox ,  Anil Kamath

IPC: G06N3/0455

CPC classification number: G06N3/0455 ,  G06F40/186

Abstract: A method, non-transitory computer readable medium, apparatus, and system for data processing are described. An embodiment of the present disclosure includes receiving, from a content provider via a user interface, a query about a chart that includes information related to a domain. A machine learning model generates a response to the query based on the chart and a corpus of documents in the domain. The response includes information from the corpus of documents. The user interface provides at least a portion of the response to the content provider.

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：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.

公开(公告)号：US20240320714A1

公开(公告)日：2024-09-26

申请号：US18477735

申请日：2023-09-29

Applicant: ADOBE INC.

Inventor： Rebecca Dorothy West ,  Lauren Dest ,  Mihir Naware ,  Elliot Axel Patrick Puzenat ,  Stephen Becigneul ,  Alexis Tessier ,  Roger K. Brooks ,  Suman Basetty ,  Kimberly K. Lenox ,  Anil Kamath

IPC: G06Q30/0241 ,  G06F40/40 ,  G06Q30/0204

CPC classification number: G06Q30/0276 ,  G06F40/40 ,  G06Q30/0204

Abstract: A method, non-transitory computer readable medium, apparatus, and system for contextual content generation are described. An embodiment of the present disclosure includes obtaining, by a user experience platform, a content provider context for the user experience platform. The content provider context includes profile information for a content provider and an interaction history of the content provider. The user experience platform obtains a prompt based on the content provider context. Embodiments of the present disclosure further include generating content for a project within the user experience platform based on the prompt using a machine learning model.

公开(公告)号：US20240320211A1

公开(公告)日：2024-09-26

申请号：US18477670

申请日：2023-09-29

Applicant: ADOBE INC.

Inventor： Rebecca Dorothy West ,  Lauren Dest ,  Mihir Naware ,  Elliot Axel Patrick Puzenat ,  Stephen Becigneul ,  Alexis Tessier ,  Suman Basetty ,  Kimberly K. Lenox ,  Anil Kamath

IPC: G06F16/242 ,  G06F16/28

CPC classification number: G06F16/242 ,  G06F16/285

Abstract: A method, non-transitory computer readable medium, apparatus, and system for data clustering are described. An embodiment of the present disclosure includes receiving, by a machine learning model, a prompt. The machine learning model generates a structured query for a database of users based on the prompt. A user experience platform generates a user segment of the users based on the structured query.

公开(公告)号：US20230418868A1

公开(公告)日：2023-12-28

申请号：US17808599

申请日：2022-06-24

Applicant: ADOBE INC.

Inventor： Yeon Seonwoo ,  Seunghyun Yoon ,  Trung Huu Bui ,  Franck Dernoncourt ,  Roger K. Brooks ,  Mihir Naware

IPC: G06F16/901 ,  G06F16/903 ,  G06F16/9038 ,  G06F16/93

CPC classification number: G06F16/9024 ,  G06F16/90335 ,  G06F16/9038 ,  G06F16/93

Abstract: Systems and methods for text processing are described. Embodiments of the present disclosure receive a query comprising a natural language expression; extract a plurality of mentions from the query; generate a relation vector between a pair of the plurality of mentions using a relation encoder network, wherein the relation encoder network is trained using a contrastive learning process where mention pairs from a same document are labeled as positive samples and mention pairs from different documents are labeled as negative samples; combine the plurality of mentions with the relation vector to obtain a virtual knowledge graph of the query; identify a document corresponding to the query by comparing the virtual knowledge graph of the query to a virtual knowledge graph of the document; and transmit a response to the query, wherein the response includes a reference to the document.