Text enhancement using a binary image generated with a grid-based grayscale-conversion filter

    公开(公告)号:US10699381B2

    公开(公告)日:2020-06-30

    申请号:US15989111

    申请日:2018-05-24

    Applicant: Adobe Inc.

    Abstract: Certain embodiments involve a model for enhancing text in electronic content. For example, a system obtains electronic content comprising input text and converts the electronic content into a grayscale image. The system also converts the grayscale image into a binary image using a grid-based grayscale-conversion filter, which can include: generating a grid of pixels on the grayscale image; determining a plurality of grid-pixel threshold values at intersection points in the grid of pixels; determining a plurality of estimated pixel threshold values based on the plurality of grid-pixel threshold values; and converting the grayscale image into the binary image using the plurality of grid-pixel threshold values and the plurality of estimated pixel threshold values. The system also generates an interpolated image based on the electronic content and the binary image. The interpolated image includes output text that is darker than the input text. The system can then output the interpolated image.

    DETECTING THE BOUNDS OF BORDERLESS TABLES IN FIXED-FORMAT STRUCTURED DOCUMENTS USING MACHINE LEARNING

    公开(公告)号:US20190278837A1

    公开(公告)日:2019-09-12

    申请号:US16419093

    申请日:2019-05-22

    Applicant: Adobe Inc.

    Abstract: Techniques are disclosed for detecting the bounds of borderless open tables in fixed-format structured documents, such as PDF documents, and grouping text lines into predicted borderless tables. The target document comprises a set of text lines each having a respective vertical and horizontal position in the target document. A sorted list of the text lines is generated based upon a vertical and horizontal position of each text line in the target document. For each text line in the sorted list, a respective probability that the text line in the sorted list belongs to a borderless table is then determined. According to one embodiment, the probability may be determined using a classifier that may employ a logistic regression algorithm.

    Personalized temporary unsubscribe mechanisms for email subscriptions

    公开(公告)号:US11784954B2

    公开(公告)日:2023-10-10

    申请号:US18169742

    申请日:2023-02-15

    Applicant: Adobe Inc.

    CPC classification number: H04L51/212 H04L51/18 H04L51/214

    Abstract: In some embodiments, techniques for generating personalized unsubscribe options for emails are provided. For example, a subscription management system can access information associated with an active email subscription and a user profile for a user. The subscription management system can determine a temporary unsubscribe time period for the user based on the information associated with the active email subscription and the profile of the user. The subscription management system can embed a temporary unsubscribe option in an email to be sent to the user. The temporary unsubscribe option can represent the temporary unsubscribe time period. The subscription management system can cause the email to be sent to the user and receiving a selection of the temporary unsubscribe option indicating the temporary unsubscribe time period. The subscription management system can change the active email subscription to a suppressed email subscription associated with the temporary unsubscribe time period.

    DIRECTIONAL ASSISTANCE FOR CENTERING A FACE IN A CAMERA FIELD OF VIEW

    公开(公告)号:US20210303825A1

    公开(公告)日:2021-09-30

    申请号:US17345240

    申请日:2021-06-11

    Applicant: ADOBE INC.

    Abstract: Methods and systems are provided for providing directional assistance to guide a user to position a camera for centering a person's face within the camera's field of view. A neural network system is trained to determine the position of the user's face relative to the center of the field of view as captured by an input image. The neural network system is trained using training input images that are generated by cropping different regions of initial training images. Each initial image is used to create a plurality of different training input images, and directional assistance labels used to train the network may be assigned to each training input image based on how the image is cropped. Once trained, the neural network system determines a position of the user's face, and automatically provides a non-visual prompt indicating how to center the face within the field of view.

    Detecting the bounds of borderless tables in fixed-format structured documents using machine learning

    公开(公告)号:US11113618B2

    公开(公告)日:2021-09-07

    申请号:US16419093

    申请日:2019-05-22

    Applicant: Adobe Inc.

    Abstract: Techniques are disclosed for detecting the bounds of borderless open tables in fixed-format structured documents, such as PDF documents, and grouping text lines into predicted borderless tables. The target document comprises a set of text lines each having a respective vertical and horizontal position in the target document. A sorted list of the text lines is generated based upon a vertical and horizontal position of each text line in the target document. For each text line in the sorted list, a respective probability that the text line in the sorted list belongs to a borderless table is then determined. According to one embodiment, the probability may be determined using a classifier that may employ a logistic regression algorithm.

    Detecting the bounds of borderless tables in fixed-format structured documents using machine learning

    公开(公告)号:US10339212B2

    公开(公告)日:2019-07-02

    申请号:US15675873

    申请日:2017-08-14

    Applicant: Adobe Inc.

    Abstract: Techniques are disclosed for detecting the bounds of borderless open tables in fixed-format structured documents, such as PDF documents, and grouping text lines into predicted borderless tables. The target document comprises a set of text lines each having a respective vertical and horizontal position in the target document. A sorted list of the text lines is generated based upon a vertical and horizontal position of each text line in the target document. For each text line in the sorted list, a respective probability that the text line in the sorted list belongs to a borderless table is then determined. According to one embodiment, the probability may be determined using a classifier that may employ a logistic regression algorithm.

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