DOCUMENT SIGNING AND STORAGE USING DATA MODELS AND DISTRIBUTED LEDGERS

    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.

    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.

    PRECISE BOOK PAGE BOUNDARY DETECTION USING DEEP MACHINE LEARNING MODEL AND IMAGE PROCESSING ALGORITHMS

    公开(公告)号:US20240404070A1

    公开(公告)日:2024-12-05

    申请号:US18457185

    申请日:2023-08-28

    Applicant: Adobe Inc.

    Abstract: Embodiments are disclosed for a precise book page boundary detection using deep machine learning model and image processing. The method may include generating, based on inputting a digital image to a convolutional neural segmentation network, a plurality of outputs comprising first output for a boundary of a left page of a spread of a physical book and second output for a boundary of a right page of the spread. A first thin pixel mask and a second thin pixel mask are determined for the left page and the right page based on the first and second outputs. A first quadrilateral and a second quadrilateral are determined based on the first and second thin pixel masks. At least one of the first or second quadrilateral is rendered in a display showing the outer boundary of the left or right page.

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