Invention Grant
- Patent Title: Searching using specific attributes found in images
-
Application No.: US15002179Application Date: 2016-01-20
-
Publication No.: US10810252B2Publication Date: 2020-10-20
- Inventor: Bernard James Kerr , Zhe Lin , Patrick Reynolds , Baldo Faieta
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06F17/00
- 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.
Public/Granted literature
- US20170097948A1 SEARCHING USING SPECIFIC ATTRIBUTES FOUND IN IMAGES Public/Granted day:2017-04-06
Information query