公开(公告)号：US20240160791A1

公开(公告)日：2024-05-16

申请号：US18055673

申请日：2022-11-15

Applicant: ADOBE INC.

Inventor： Songlin HE ,  Tong SUN ,  Rajiv JAIN ,  Nedim LIPKA ,  Curtis WIGINGTON ,  Anindo ROY

IPC: G06F21/64

CPC classification number: G06F21/64

Abstract: A method includes populating a template database with templates associated with template identifiers (IDs) identifying the templates. The method also includes generating a data model that references a template within the template database, where the data model includes a template ID referencing the template in the template database, and where the template includes a parameter field. The data model further includes a template parameter to apply to the parameter field and a digital signature for at least the template ID and the template parameter. The method also includes deploying the data model within a distributed ledger.

公开(公告)号：US20250077625A1

公开(公告)日：2025-03-06

申请号：US18460135

申请日：2023-09-01

Applicant: Adobe Inc.

Inventor： David COLEMAN ,  Xuejun XU ,  Aoran ZHENG ,  Diana WONG ,  Ajay JAIN ,  Tong SUN ,  Abhinav GURRAM ,  Claire GUO ,  Sruthi Madapoosi RAVI ,  Max INCE

IPC: G06F21/10 ,  G06F16/23

Abstract: A digital content management system may include a set of one or more memory components and a set of one or more processing devices coupled to the set of one or more memory components. The set of one or more processing devices to perform operations comprising: obtaining one or more electronic signatures on a digital document to yield an electronically signed digital document, storing the electronically signed digital document at an off-chain address, using a trained machine learning model to create a smart contract, the smart contract comprising a reference to the off-chain address; and deploying the smart contract to a blockchain.

公开(公告)号：US20230377363A1

公开(公告)日：2023-11-23

申请号：US17663785

申请日：2022-05-17

Applicant: ADOBE INC.

Inventor： Tong SUN ,  Nicholas Sergei REWKOWSKI ,  Nedim LIPKA ,  Jennifer Anne HEALEY ,  Curtis Michael WIGINGTON ,  Anshul MALIK

IPC: G06V30/41 ,  G06V40/10 ,  G06T7/13

CPC classification number: G06V30/41 ,  G06V40/107 ,  G06T7/13 ,  G06T2207/30176

Abstract: Systems and methods for machine learning based multipage scanning are provided. In one embodiment, one or more processing devices perform operations that include receiving a video stream that includes image frames that capture a plurality of pages of a document. The operations further include detection, via a machine learning model that is trained to infer events from the video stream detects, a new page event. Detection of the new page event indicates that a page of the plurality of pages available for scanning has changed from a first page to a second page. Based on the detection of the new page event, the one or more processing devices capture an image frame of the page from the video stream. In some embodiments, the machine learning model detects events based on a weighted use of video data, inertial data, audio samples, image depth information, image statistics and/or other information.