公开(公告)号：US10810252B2

公开(公告)日：2020-10-20

申请号：US15002179

申请日：2016-01-20

Applicant: ADOBE INC.

Inventor： Bernard James Kerr ,  Zhe Lin ,  Patrick Reynolds ,  Baldo Faieta

IPC: G06F17/00 ,  G06F7/00 ,  G06F16/532 ,  G06F16/56 ,  G06F16/583 ,  G06N3/08 ,  G06F3/0482 ,  G06F3/0484 ,  G06N5/02

Abstract: In various implementations, specific attributes found in images can be used in a visual-based search. Utilizing machine learning, deep neural networks, and other computer vision techniques, attributes of images, such as color, composition, font, style, and texture can be extracted from a given image. A user can then select a specific attribute from a sample image the user is searching for and the search can be refined to focus on that specific attribute from the sample image. In some embodiments, the search includes specific attributes from more than one image.

公开(公告)号：US10789525B2

公开(公告)日：2020-09-29

申请号：US15002172

申请日：2016-01-20

Applicant: ADOBE INC.

Inventor： Bernard James Kerr ,  Zhe Lin ,  Patrick Reynolds ,  Baldo Faieta

IPC: G06F17/00 ,  G06F7/00 ,  G06N3/02 ,  G06F16/583 ,  G06F3/0484

Abstract: In various implementations, one or more specific attributes found in an image can be modified utilizing one or more specific attributes found in another image. Machine learning, deep neural networks, and other computer vision techniques can be utilized to extract attributes of images, such as color, composition, font, style, and texture from one or more images. A user may modify at least one of these attributes in a first image based on the attribute(s) of another image and initiate a visual-based search using the modified image.