MAPPING ANNOTATIONS TO RANGES OF TEXT ACROSS DOCUMENTS

    公开(公告)号:US20210406453A1

    公开(公告)日:2021-12-30

    申请号:US17471452

    申请日:2021-09-10

    Applicant: Adobe Inc.

    Abstract: An annotation corresponding to a first range of text of a first document may be received. Based on the annotation, comparisons may be performed between a text string that comprises the first range of text and a group of text of a second document at different positions in the group of text. Based on the comparisons, similarity scores between the text string and the group of text may be determined at the different positions in the group of text. A position for the annotation in the group of text may be selected based on the similarity scores at the different positions. The annotation may be associated with a second range of text in the group of text that corresponds to the position.

    MAPPING ANNOTATIONS TO RANGES OF TEXT ACROSS DOCUMENTS

    公开(公告)号:US20200151244A1

    公开(公告)日:2020-05-14

    申请号:US16189415

    申请日:2018-11-13

    Applicant: ADOBE INC.

    Abstract: An annotation corresponding to a first range of text of a first document may be received. Based on the annotation, comparisons may be performed between a text string that comprises the first range of text and a group of text of a second document at different positions in the group of text. Based on the comparisons, similarity scores between the text string and the group of text may be determined at the different positions in the group of text. A position for the annotation in the group of text may be selected based on the similarity scores at the different positions. The annotation may be associated with a second range of text in the group of text that corresponds to the position.

    Text wrap detection
    4.
    发明授权

    公开(公告)号:US11151370B2

    公开(公告)日:2021-10-19

    申请号:US16190562

    申请日:2018-11-14

    Applicant: Adobe Inc.

    Abstract: In implementations of text wrap detection, one or more computing devices of a system implement a text wrap module for detecting text wrap around a component of digital content of a document. The document is preprocessed to segregate the digital content into a text group and a non-text group. Members of the text group are overlaid with a graphical element colored to provide a contrast between the graphical element and the component of the digital content. The document is converted to a digital image and a feature map of the digital image is generated. The feature map is further processed using machine learning and a detection indication is output. The detection indication may indicate that text wrap is detected around a member of the text group, a member of the non-text group, or that no text wrap is detected.

    Mapping annotations to ranges of text across documents

    公开(公告)号:US11151307B2

    公开(公告)日:2021-10-19

    申请号:US16189415

    申请日:2018-11-13

    Applicant: ADOBE INC.

    Abstract: An annotation corresponding to a first range of text of a first document may be received. Based on the annotation, comparisons may be performed between a text string that comprises the first range of text and a group of text of a second document at different positions in the group of text. Based on the comparisons, similarity scores between the text string and the group of text may be determined at the different positions in the group of text. A position for the annotation in the group of text may be selected based on the similarity scores at the different positions. The annotation may be associated with a second range of text in the group of text that corresponds to the position.

    Text Wrap Detection
    6.
    发明申请
    Text Wrap Detection 审中-公开

    公开(公告)号:US20200151445A1

    公开(公告)日:2020-05-14

    申请号:US16190562

    申请日:2018-11-14

    Applicant: Adobe Inc.

    Abstract: In implementations of text wrap detection, one or more computing devices of a system implement a text wrap module for detecting text wrap around a component of digital content of a document. The document is preprocessed to segregate the digital content into a text group and a non-text group. Members of the text group are overlaid with a graphical element colored to provide a contrast between the graphical element and the component of the digital content. The document is converted to a digital image and a feature map of the digital image is generated. The feature map is further processed using machine learning and a detection indication is output. The detection indication may indicate that text wrap is detected around a member of the text group, a member of the non-text group, or that no text wrap is detected.

Patent Agency Ranking