The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 15, 2022
Filed:
Apr. 18, 2019
Ebay Inc., San Jose, CA (US);
Robinson Piramuthu, Oakland, CA (US);
Timothy Samuel Keefer, San Jose, CA (US);
Kenneth Clark Crookston, Freiberg, DE;
Ashmeet Singh Rekhi, Campbell, CA (US);
Niaz Ahamed Khaja Nazimudeen, Fremont, CA (US);
Padmapriya Gudipati, San Jose, CA (US);
Shane Lin, Mountain View, CA (US);
John F. Weigel, San Jose, CA (US);
Fujun Zhong, Saratoga, CA (US);
Suchitra Ramesh, San Jose, CA (US);
Mohammadhadi Kiapour, San Francisco, CA (US);
Shuai Zheng, Berkeley, CA (US);
Alberto Ordonez Pereira, Santa Clara, CA (US);
Ravindra Surya Lanka, San Jose, CA (US);
Md Atiq Ul Islam, San Jose, CA (US);
Nicholas Anthony Whyte, San Jose, CA (US);
Giridharan Iyengar, San Jose, CA (US);
Bryan Allen Plummer, Urbana, IL (US);
eBay Inc., San Jose, CA (US);
Abstract
Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.