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    PARTIALLY TEXTURIZING COLOR IMAGES FOR COLOR ACCESSIBILITY
    1.
    发明公开
    PARTIALLY TEXTURIZING COLOR IMAGES FOR COLOR ACCESSIBILITY 审中-公开

    公开(公告)号：US20230260168A1

    公开(公告)日：2023-08-17

    申请号：US17651373

    申请日：2022-02-16

    Applicant: Adobe Inc.

    Inventor： Jose Ignacio Echevarria Vallespi ,  Rachel Franz ,  Paul Asente

    IPC: G06T11/00 ,  G06T7/90 ,  G06T7/10 ,  G06T19/00

    CPC classification number: G06T11/001 ,  G06T7/90 ,  G06T7/10 ,  G06T19/006 ,  G06T2207/20092 ,  G06T2207/10024

    Abstract: Methods, systems, and non-transitory computer readable media are disclosed for intelligently generating partially textured accessible images. In one or more embodiments, the disclosed systems generate or access a color texture map specific to a given color vision deficiency. For example, the disclosed systems generate a color texture map that divides a color space into one or more textured segment of colors and one or more complementary untextured segments of colors. The disclosed systems can utilize the color texture map to intelligently apply different textures to subsets of pixels that contribute to color vision deficiency confusion. For example, the disclosed system maps pixels from a color image to the color texture map to identify a first subset of pixels corresponding to the textured segment of colors. The disclosed system generates a partially textured accessible image by applying a texture to the first subset of pixels.

    Semantic page segmentation of vector graphics documents
    2.
    发明授权
    Semantic page segmentation of vector graphics documents 有权

    公开(公告)号：US11314969B2

    公开(公告)日：2022-04-26

    申请号：US16777258

    申请日：2020-01-30

    Applicant: Adobe Inc.

    Inventor： Xiao Yang ,  Paul Asente ,  Mehmet Yumer

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/34 ,  G06N3/08 ,  G06K9/32 ,  G06N3/04

    Abstract: Disclosed systems and methods categorize text regions of an electronic document into document object types based on a combination of semantic information and appearance information from the electronic document. A page segmentation application executing on a computing device provides a textual feature representation and a visual feature representation to a neural network. The application identifies a correspondence between a location of the set of pixels in the electronic document and a location of a particular document object type in an output page segmentation. The application further outputs a classification of the set of pixels as being the particular document object type based on the identified correspondence.

    Computerized generation of ornamental designs by placing instances of simple shapes in accordance with a direction guide
    3.
    发明授权
    Computerized generation of ornamental designs by placing instances of simple shapes in accordance with a direction guide 有权

    公开(公告)号：US10559061B2

    公开(公告)日：2020-02-11

    申请号：US15589943

    申请日：2017-05-08

    Applicant: Adobe Inc.

    Inventor： Paul Asente ,  Craig Kaplan ,  Radomir Mech ,  Reza Adhitya Saputra

    IPC: G06T3/40 ,  G06T3/00

    Abstract: Systems and methods for computerized drawing of ornamental designs consisting of placed instances of simple shapes. The shapes, called elements, are selected from a small library of templates. The elements are deformed to flow along a direction field interpolated from user-supplied strokes, giving a sense of visual flow to the final composition, and constrained to lie within a container region. In an implementation, a vector field is computed based on user strokes. Streamlines that conform to the vector field are constructed, and an element is placed over each streamline. The shape of the elements may be modified such as by bending, stretching or enlarging to reduce spacing between elements and to minimize variations in spacing to improve aesthetic appearance.

    Recommending pattern designs for objects using a sequence-based machine-learning model
    4.
    发明授权
    Recommending pattern designs for objects using a sequence-based machine-learning model 有权

    公开(公告)号：US11093660B2

    公开(公告)日：2021-08-17

    申请号：US14968870

    申请日：2015-12-14

    Applicant: Adobe Inc.

    Inventor： Paul Asente ,  Jingwan Lu ,  Huy Phan

    IPC: G06F30/00 ,  G06N7/00

    Abstract: Methods and systems for aiding users in generating object pattern designs with increased speed. In particular, one or more embodiments train a sequence-based machine-learning model using training objects, each training object including a plurality of regions with a plurality of design elements. One or more embodiments identify a plurality regions of an object with a first region adjacent a second region. One or more embodiments receive a user selection of a design element for populating the first region with a first design element from a plurality of design elements. One or more embodiments identify a second design element from the plurality of design elements based on the first design element using the trained sequence-based machine-learning model. One or more embodiments also populate the second region with one or more instances of the second design element.

    UTILIZING A NEURAL NETWORK TO GENERATE LABEL DISTRIBUTIONS FOR TEXT EMPHASIS SELECTION
    8.
    发明申请
    UTILIZING A NEURAL NETWORK TO GENERATE LABEL DISTRIBUTIONS FOR TEXT EMPHASIS SELECTION 有权

    公开(公告)号：US20210133279A1

    公开(公告)日：2021-05-06

    申请号：US16672733

    申请日：2019-11-04

    Applicant: Adobe Inc.

    Inventor： Amirreza Shirani ,  Franck Dernoncourt ,  Paul Asente ,  Nedim Lipka ,  Seokhwan Kim ,  Jose Echevarria

    IPC: G06F17/24 ,  G06N3/04 ,  G06F17/27 ,  G06N5/04

    Abstract: The present disclosure relates to utilizing a neural network to flexibly generate label distributions for modifying a segment of text to emphasize one or more words that accurately communicate the meaning of the segment of text. For example, the disclosed systems can utilize a neural network having a long short-term memory neural network architecture to analyze a segment of text and generate a plurality of label distributions corresponding to the words included therein. The label distribution for a given word can include probabilities across a plurality of labels from a text emphasis labeling scheme where a given probability represents the degree to which the corresponding label describes the word. The disclosed systems can modify the segment of text to emphasize one or more of the included words based on the generated label distributions.

    Transforming document elements for modified document layouts
    10.
    发明授权
    Transforming document elements for modified document layouts 有权

    公开(公告)号：US11233920B1

    公开(公告)日：2022-01-25

    申请号：US16952137

    申请日：2020-11-19

    Applicant: Adobe Inc.

    Inventor： Xiaoyi Wang ,  Shayan Chandrashekar ,  Sangeeta Varma ,  Paul Asente ,  Michal Lukac ,  Chang Liu

    IPC: H04N1/387 ,  G06T3/40 ,  H04N1/393 ,  H04N1/00 ,  G06F3/12

    Abstract: Methods and systems disclosed herein relate generally to systems and methods for transforming document elements in response to modifications to a layout of a document. A layout-modification application identifies, from a first document having a first document layout, a first set of measurements of a document element and a first location of the document element within the first document. Based on an aspect-ratio difference between the first document layout and a second document layout, the layout-modification application selects a set of transformation rules that specify, for the document element, a second set of measurements and a second location within a second document. To select the particular set of transformation rules, the layout-modification application uses the determined aspect-ratio difference. The layout-modification application applies the selected set of transformation rules to the document element.

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