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.

Date of Patent:
Nov. 19, 2024

Filed:

Jan. 05, 2021
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Viswanathan Swaminathan, Saratoga, CA (US);

John Philip Collomosse, Surrey, GB;

Eric Nguyen, San Jose, CA (US);

Assignee:

ADOBE INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 18/214 (2023.01); G06F 16/532 (2019.01); G06F 16/583 (2019.01); G06F 18/213 (2023.01); G06N 20/00 (2019.01); G06T 7/60 (2017.01); G06V 10/40 (2022.01); G06V 20/00 (2022.01);
U.S. Cl.
CPC ...
G06F 18/214 (2023.01); G06F 16/532 (2019.01); G06F 16/583 (2019.01); G06N 20/00 (2019.01); G06T 7/60 (2013.01); G06V 10/40 (2022.01); G06V 20/00 (2022.01); G06T 2207/20081 (2013.01);
Abstract

A visual search system facilitates retrieval of provenance information using a machine learning model to generate content fingerprints that are invariant to benign transformations while being sensitive to manipulations. The machine learning model is trained on a training image dataset that includes original images, benign transformed variants of the original images, and manipulated variants of the original images. A loss function is used to train the machine learning model to minimize distances in an embedding space between benign transformed variants and their corresponding original images and increase distances between the manipulated variants and their corresponding original images.


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