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    MACHINE LEARNING APPROACHES FOR INTERFACE FEATURE ROLLOUT ACROSS TIME ZONES OR GEOGRAPHIC REGIONS
    11.
    发明申请
    MACHINE LEARNING APPROACHES FOR INTERFACE FEATURE ROLLOUT ACROSS TIME ZONES OR GEOGRAPHIC REGIONS 有权

    公开(公告)号：US20230115855A1

    公开(公告)日：2023-04-13

    申请号：US17500785

    申请日：2021-10-13

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06N5/02 ,  G06N5/04

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for flexibly and accurately utilizing a machine learning model to intelligently determine and provide interface features for display via client devices located across different time zones or geographic regions. For example, the disclosed systems can utilize a feature visualization machine learning model to generate an arrangement of graphics, an assortment of graphics, or other graphical visualization of one or more interface features in a target time zone (or a target geographic region) based on client device interactions from other (e.g., leading) time zones or geographic regions. In certain embodiments, the disclosed systems also (or alternatively) determine a sequence of geographic regions for rolling out, or surfacing, an interface feature based on similarities between geographic regions and a comparison of performance metrics over multiple candidate sequences.

    Content prediction based on pixel-based vectors
    12.
    发明授权
    Content prediction based on pixel-based vectors 有权

    公开(公告)号：US11615263B2

    公开(公告)日：2023-03-28

    申请号：US17880706

    申请日：2022-08-04

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06K9/62 ,  G06N3/02 ,  G06F16/538 ,  G06V10/56 ,  G06V10/82

    Abstract: Methods and systems disclosed herein relate generally to systems and methods for predicting content based on vector data structures generated from image pixels. A content-prediction application accesses a color palette having two or more color-palette categories and selects a first color of the color palette. The content-prediction application generates a first vector based on a set of pixel values that represent the first color of the color palette. The content-prediction application determines a distance metric between the first vector and a second vector, in which the second vector is identified by applying a convolutional neural network model on an image depicting an item that includes a second color. In response to determining that the distance metric is less than a predetermined threshold, the content-prediction application selects the content item corresponding to the second vector.

    Content prediction based on pixel-based vectors
    15.
    发明授权
    Content prediction based on pixel-based vectors 有权

    公开(公告)号：US11455485B2

    公开(公告)日：2022-09-27

    申请号：US16915328

    申请日：2020-06-29

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06K9/62 ,  G06N3/02 ,  G06F16/538 ,  G06V10/56

    Abstract: Methods and systems disclosed herein relate generally to systems and methods for predicting content based on vector data structures generated from image pixels. A content-prediction application accesses a color palette having two or more color-palette categories and selects a first color of the color palette. The content-prediction application generates a first vector based on a set of pixel values that represent the first color of the color palette. The content-prediction application determines a distance metric between the first vector and a second vector, in which the second vector is identified by applying a convolutional neural network model on an image depicting an item that includes a second color. In response to determining that the distance metric is less than a predetermined threshold, the content-prediction application selects the content item corresponding to the second vector.

    CONTENT PREDICTION BASED ON PIXEL-BASED VECTORS
    16.
    发明申请
    CONTENT PREDICTION BASED ON PIXEL-BASED VECTORS 有权

    公开(公告)号：US20210406593A1

    公开(公告)日：2021-12-30

    申请号：US16915328

    申请日：2020-06-29

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06K9/62 ,  G06K9/46 ,  G06F16/538 ,  G06N3/02

    Abstract: Methods and systems disclosed herein relate generally to systems and methods for predicting content based on vector data structures generated from image pixels. A content-prediction application accesses a color palette having two or more color-palette categories and selects a first color of the color palette. The content-prediction application generates a first vector based on a set of pixel values that represent the first color of the color palette. The content-prediction application determines a distance metric between the first vector and a second vector, in which the second vector is identified by applying a convolutional neural network model on an image depicting an item that includes a second color. In response to determining that the distance metric is less than a predetermined threshold, the content-prediction application selects the content item corresponding to the second vector.

    Image processing for increasing visibility of obscured patterns
    17.
    发明授权
    Image processing for increasing visibility of obscured patterns 有权

    公开(公告)号：US11151755B1

    公开(公告)日：2021-10-19

    申请号：US16942103

    申请日：2020-07-29

    Applicant: Adobe Inc.

    Inventor： Michele Saad ,  Lauren Dest

    IPC: G06T11/00 ,  G06T5/00 ,  G09G5/02 ,  G09G5/10 ,  H04N1/60 ,  H04N9/64

    Abstract: Methods and systems disclosed herein relate generally to systems and methods for modifying pixel values of an image to improve the visibility of target pixel patterns. A pixel-simulation application accesses an initial image including an initial set of pixel values. The initial set of pixel values define, in an initial color space, a particular color of pixels that indicate a target pixel pattern. The pixel-simulation application generates, based on the initial set of pixel values, a simulated image including a modified set of pixel values that visually indicate another color of pixels in an intermediate color space. The pixel-simulation application generates a pixel map by identifying a difference between the initial set pixel values of the initial image and the modified set of pixel values of simulated image. The pixel-simulation application generates, for display, an output image based at least in part on the pixel map.

    Increasing visibility of pixel patterns in images
    18.
    发明授权
    Increasing visibility of pixel patterns in images 有权

    公开(公告)号：US12223565B2

    公开(公告)日：2025-02-11

    申请号：US17839646

    申请日：2022-06-14

    Applicant: Adobe Inc.

    Inventor： Lauren Dest ,  Xin Wang ,  Nathan Baldwin ,  Michele Saad ,  Matthew May ,  Jose Ignacio Echevarria Vallespi ,  Dustin Ground

    IPC: G06T11/00 ,  G06T7/11 ,  G06T7/90 ,  G06V10/22 ,  G06V10/762

    Abstract: Methods and systems disclosed herein relate generally to increasing visibility of pixel patterns of an image. The system includes a pattern-detection application accessing an image depicting an object. The pattern-detection application determines a set of colors from the transformed image. The pattern-detection application identifies a set of pixels depicting a particular color of the set of colors. For the set of pixels depicting the particular color, the pattern-detection application converts an initial set of pixel values of the set of pixels at an initial color space to another set of pixel values that define the particular color of the set of pixels in another color space. The pattern-detection application modifies one or more values of the other set of pixel values to generate a modified set of pixel values. The modification includes causing the set of pixels visually indicate a simulated color that is different from the particular color.

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