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    Automatic Detection and Transfer of Relevant Image Data to Content Collections
    2.
    发明申请
    Automatic Detection and Transfer of Relevant Image Data to Content Collections 有权

    公开(公告)号：US20210240757A1

    公开(公告)日：2021-08-05

    申请号：US17170697

    申请日：2021-02-08

    Applicant: EVERNOTE CORPORATION

    Inventor： Dylan Marriott ,  Daniel Nicolae ,  Ruben Bakker ,  Alexander Pashintsev ,  Zdzislaw Pawel Losvik ,  Eugene Livshitz ,  Vitaly Glazkov ,  Boris Gorbatov ,  Ilya Buryak

    IPC: G06F16/51 ,  G06F16/583 ,  G06F16/58 ,  G06F16/55

    Abstract: This application is directed to a method for automatically identifying and transferring relevant image data. The method includes obtaining a plurality of content items from a personal content collection and determining attributes based on the plurality of content items. The method includes generating a plurality of relevance rules. The method further includes obtaining unclassified content items and determining for a first unclassified content item a plurality of aggregate relevance scores using the plurality of relevance rules. The method include determining whether a first aggregate relevance score and/or a second aggregate relevance score satisfy threshold score. The method includes, in accordance with a determination that the first aggregate relevance score and the second aggregate relevance score do not satisfy the threshold score, forgoing determining the attributes corresponding to the first unclassified content item, and storing the first unclassified content item in a candidate list of the personal content collection.

    Extracting Structured Data from Handwritten and Audio Notes
    3.
    发明申请
    Extracting Structured Data from Handwritten and Audio Notes 审中-公开

    公开(公告)号：US20170286529A1

    公开(公告)日：2017-10-05

    申请号：US15475001

    申请日：2017-03-30

    Applicant: EVERNOTE CORPORATION

    Inventor： Chris O'Neill ,  Andrew Malcolm ,  Alexander Pashintsev ,  Eugene Livshitz ,  Boris Gorbatov ,  Natalia Galaktionova ,  Ilya Buryak

    IPC: G06F17/30 ,  G06F17/24 ,  G06F17/27

    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.

    Extracting structured data from handwritten and audio notes
    4.
    发明授权
    Extracting structured data from handwritten and audio notes 有权

    公开(公告)号：US11550995B2

    公开(公告)日：2023-01-10

    申请号：US16908590

    申请日：2020-06-22

    Applicant: EVERNOTE CORPORATION

    Inventor： Chris O'Neill ,  Andrew Malcolm ,  Alexander Pashintsev ,  Eugene Livshitz ,  Boris Gorbatov ,  Natalia Galaktionova ,  Ilya Buryak

    IPC: G06F40/279 ,  G06F40/186

    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.

    Extracting structured data from handwritten and audio notes
    6.
    发明授权
    Extracting structured data from handwritten and audio notes 有权

    公开(公告)号：US10691885B2

    公开(公告)日：2020-06-23

    申请号：US15475001

    申请日：2017-03-30

    Applicant: EVERNOTE CORPORATION

    Inventor： Chris O'Neill ,  Andrew Malcolm ,  Alexander Pashintsev ,  Eugene Livshitz ,  Boris Gorbatov ,  Natalia Galaktionova ,  Ilya Buryak

    IPC: G06F16/00 ,  G06F40/186 ,  G06F40/279

    Abstract: This application is directed to recognizing unstructured information based on hints provided by structured information. A computer system obtains unstructured information collected from a handwritten or audio source, and identifies one or more terms from the unstructured information. The one or more terms includes a first term that is ambiguous. The computer system performs a recognition operation on the first term to derive a first plurality of candidate terms for the first term, and obtains first contextual information from an information template associated with the unstructured information. In accordance with the first contextual information, the computer system selects a first answer term from the first plurality of candidate terms, such that the first term is recognized as the first answer term.

    Detecting aspect ratios of document pages on smartphone photographs by learning camera view angles
    7.
    发明授权
    Detecting aspect ratios of document pages on smartphone photographs by learning camera view angles 有权

    公开(公告)号：US10032073B1

    公开(公告)日：2018-07-24

    申请号：US15191800

    申请日：2016-06-24

    Applicant: Evernote Corporation

    Inventor： Ilya Buryak ,  Eugene Livshitz ,  Alexander Pashintsev ,  Boris Gorbatov

    IPC: G06K9/00 ,  H04N7/18

    Abstract: Detecting an aspect ratio of an image captured with a smartphone includes detecting at least one convex quadrangle of arbitrary shape on the image and generating a plurality of additional convex quadrangles having vertices in a pre-determined vicinity of vertices of the quadrangle on the image. A linear projective mapping matrix is generated for mapping each of the quadrangle and the plurality of additional quadrangles onto a unit square. A plurality of estimated focal lengths of the camera of the smartphone is determined according to matrixes corresponding to the linear projective mappings onto a unit square of the quadrangle and each of the plurality of additional quadrangles. The quadrangle is used to determine the aspect ratio of the image in response to a range of the plurality of estimated focal lengths including a true value of the focal length of the camera of the smartphone.

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