公开(公告)号：US10970599B2

公开(公告)日：2021-04-06

申请号：US16191724

申请日：2018-11-15

Applicant: ADOBE INC.

Inventor： Mingyang Ling ,  Alex Filipkowski ,  Zhe Lin ,  Jianming Zhang ,  Samarth Gulati

IPC: G06K9/62 ,  G06T7/136 ,  G06N3/04 ,  G06T7/143 ,  G06T7/174

Abstract: Techniques are disclosed for characterizing and defining the location of a copy space in an image. A methodology implementing the techniques according to an embodiment includes applying a regression convolutional neural network (CNN) to an image. The regression CNN is configured to predict properties of the copy space such as size and type (natural or manufactured). The prediction is conditioned on a determination of the presence of the copy space in the image. The method further includes applying a segmentation CNN to the image. The segmentation CNN is configured to generate one or more pixel-level masks to define the location of copy spaces in the image, whether natural or manufactured, or to define the location of a background region of the image. The segmentation CNN may include a first stage comprising convolutional layers and a second stage comprising pairs of boundary refinement layers and bilinear up-sampling layers.

公开(公告)号：US11934448B2

公开(公告)日：2024-03-19

申请号：US18302201

申请日：2023-04-18

Applicant: Adobe Inc.

Inventor： Pramod Srinivasan ,  Zhe Lin ,  Samarth Gulati ,  Saeid Motiian ,  Midhun Harikumar ,  Baldo Antonio Faieta ,  Alex C. Filipkowski

IPC: G06F16/532 ,  G06F16/51 ,  G06F16/538 ,  G06F16/54 ,  G06F16/583 ,  G06F40/30

CPC classification number: G06F16/532 ,  G06F16/51 ,  G06F16/538 ,  G06F16/54 ,  G06F16/583 ,  G06F40/30

Abstract: Keyword localization digital image search techniques are described. These techniques support an ability to indicate “where” a corresponding keyword is to be expressed with respect to a layout in a respective digital image resulting from a search query. The search query may also include an indication of a size of the keyword as expressed in the digital image, a number of instances of the keyword, and so forth. Additionally, the techniques and systems as described herein support real time search through use of keyword signatures.

公开(公告)号：US11216505B2

公开(公告)日：2022-01-04

申请号：US16561973

申请日：2019-09-05

Applicant: Adobe Inc.

Inventor： Saeid Motiian ,  Zhe Lin ,  Samarth Gulati ,  Pramod Srinivasan ,  Jose Ignacio Echevarria Vallespi ,  Baldo Antonio Faieta

IPC: G06F16/00 ,  G06F16/583 ,  G06F17/16 ,  G06F16/55 ,  G06F16/532

Abstract: In implementations of multi-resolution color-based image search, an image search system determines a color vector for a query image based on a color histogram of the query image by concatenating two color histograms having different resolutions. The image search system can compute distance measures between the color vector of the query image and color vectors of candidate images. The image search system can select one or more of the candidate images to return based on the distance measures utilizing the distance measures as indication of color similarity of the candidate images to the query image.

公开(公告)号：US20210216824A1

公开(公告)日：2021-07-15

申请号：US17215067

申请日：2021-03-29

Applicant: Adobe Inc.

Inventor： Mingyang Ling ,  Alex Filipkowski ,  Zhe Lin ,  Jianming Zhang ,  Samarth Gulati

IPC: G06K9/62 ,  G06N3/04 ,  G06T7/143 ,  G06T7/174 ,  G06T7/136

Abstract: Techniques are disclosed for characterizing and defining the location of a copy space in an image. A methodology implementing the techniques according to an embodiment includes applying a regression convolutional neural network (CNN) to an image. The regression CNN is configured to predict properties of the copy space such as size and type (natural or manufactured). The prediction is conditioned on a determination of the presence of the copy space in the image. The method further includes applying a segmentation CNN to the image. The segmentation CNN is configured to generate one or more pixel-level masks to define the location of copy spaces in the image, whether natural or manufactured, or to define the location of a background region of the image. The segmentation CNN may include a first stage comprising convolutional layers and a second stage comprising pairs of boundary refinement layers and bilinear up-sampling layers.

公开(公告)号：US20210073270A1

公开(公告)日：2021-03-11

申请号：US16561973

申请日：2019-09-05

Applicant: Adobe Inc.

Inventor： Saeid Motiian ,  Zhe Lin ,  Samarth Gulati ,  Pramod Srinivasan ,  Jose Ignacio Echevarria Vallespi ,  Baldo Antonio Faieta

IPC: G06F16/583 ,  G06F16/532 ,  G06F16/55 ,  G06F17/16

Abstract: In implementations of multi-resolution color-based image search, an image search system determines a color vector for a query image based on a color histogram of the query image by concatenating two color histograms having different resolutions. The image search system can compute distance measures between the color vector of the query image and color vectors of candidate images. The image search system can select one or more of the candidate images to return based on the distance measures utilizing the distance measures as indication of color similarity of the candidate images to the query image.