公开(公告)号：US20230401761A1

公开(公告)日：2023-12-14

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 ,  G06T7/90 ,  G06V10/762 ,  G06T7/11 ,  G06V10/22

CPC classification number: G06T11/001 ,  G06T7/90 ,  G06V10/762 ,  G06T7/11 ,  G06V10/235 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/20104 ,  G06T2207/20081 ,  G06T2200/24

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.

公开(公告)号：US20230350968A1

公开(公告)日：2023-11-02

申请号：US17661641

申请日：2022-05-02

Applicant: Adobe Inc.

Inventor： Irgelkha Mejia ,  Michele Saad ,  Eunyee Koh ,  Andrew Thomson ,  Lauren Dest ,  Dustin Ground ,  Anna Hammond ,  Arjun Athreya ,  Catherine Chiodo

IPC: G06F16/957 ,  G06F16/958 ,  G06F16/9536

CPC classification number: G06F16/9577 ,  G06F16/958 ,  G06F16/9536

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for utilizing machine learning models to extract digital signals from low-results web queries and generate item demand deficiency predictions for digital item lists corresponding to websites. In one or more embodiments, the disclosed systems identify a low-results query submitted by client devices navigating a website. The disclosed systems generate features for the low-results query and the digital item list to generate a deficiency prediction relative to demand indicated by the low-results query. In some embodiments, the disclosed system utilizes a deficiency prediction model to process the extracted signals and generate a deficiency confidence score corresponding to the low-results query. Based on the deficiency confidence score, the disclosed system can generate and provide demand notifications via one or more graphical user interfaces.

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.