Systems For Authenticating Digital Contents

Number: 20210250346
Published: 2021-08-12
Filed: 2020-02-11
Assignee: Disney Enterprises, Inc.
Inventors: Farre Guiu; Miquel Angel, Drake; Edward C., Accardo; Anthony M., Arana; Mark
CPC: G06F16/5854; H04L63/0861; G06F16/436; G06F16/9535; G06F21/32; G06V40/16; G06V40/171; G06V40/172; G10L17/00; G10L17/06
Verdict: Set aside content authentication/DRM, business
Source: Google Patents · FreePatentsOnline

Abstract

A system for authenticating digital contents includes a computing platform having a hardware processor and a memory storing a software code. According to one implementation, the hardware processor executes the software code to receive digital content, identify an image of a person depicted in the digital content, determine an ear shape parameter of the person depicted in the image, determine another biometric parameter of the person depicted in the image, and calculate a ratio of the ear shape parameter of the person depicted in the image to the biometric parameter of the person depicted in the image. The hardware processor is also configured to execute the software code to perform a comparison of the calculated ratio with a predetermined value, and determine whether the person depicted in the image is an authentic depiction of the person based on the comparison of the calculated ratio with the predetermined value.

Background

BACKGROUND

Advances in machine learning have enabled the production of realistic but forged recreations of a person's image or voice, known as “deepfakes” due to the use of deep artificial neural networks for their creation. Deepfakes may be produced without the consent of the person whose image or voice is being used, and may make the person being represented appear to say or do something that they have in fact not said or done. As a result, deepfake manipulated digital content can be used maliciously to spread misinformation.

Due to the widespread popularity of digital content for the distribution of entertainment and news, the effective authentication and management of that content is important to its creators, owners and distributors alike. However, as machine learning solutions continue to improve, deepfakes are and will continue to be difficult to detect. As a result, subtly manipulated or even entirely fake digital content may inadvertently be broadcast or otherwise distributed in violation of contractual agreement or regulatory restrictions, thereby subjecting the content owners and/or distributors to potential legal jeopardy. SUMMARY

There are provided systems for authenticating digital contents, substantially as shown in and/or described in connection with at least one of the figures, and as set forth more completely in the claims.

Claims

1. A system for authenticating digital contents, the system comprising: a computing platform including a hardware processor and a system memory; a software code stored in the system memory; the hardware processor configured to execute the software code to: receive a digital content; identify an image of a person depicted in the digital content; determine an ear shape parameter of the person depicted in the image; determine a biometric parameter of the person depicted in the image, the biometric parameter being different from the ear shape parameter; calculate a ratio of the ear shape parameter of the person depicted in the image to the biometric parameter of the person depicted in the image; perform a comparison of the calculated ratio with a predetermined value; and determine whether the person depicted in the image is an authentic depiction of the person based on the comparison of the calculated ratio with the predetermined value. || 8. A system for authenticating digital contents, the system comprising: a computing platform including a hardware processor and a system memory; a software code stored in the system memory; the hardware processor configured to execute the software code to: receive a digital content having an audio track including at least one of a monologue or a dialogue; identify an image of a person depicted in the digital content, the depiction including participation in the at least one of the monologue or the dialogue by the person depicted in the image; detect at least one linguistic mannerism of the person depicted in the image based on the participation in the at least one of the monologue or the dialogue; obtain a linguistic profile of the person depicted in the image, the linguistic profile including at least one predetermined linguistic mannerism of the person depicted in the image; perform a comparison of the at least one detected linguistic mannerism with the at least one predetermined linguistic mannerism; and determine whether the person depicted in the image is an authentic depiction of the person based on the comparison of the at least one detected linguistic mannerism with the at least one predetermined linguistic mannerism. || 15. A system for authenticating digital contents, the system comprising: a computing platform including a hardware processor and a system memory; a software code stored in the system memory; the hardware processor configured to execute the software code to: receive a digital content having an audio track including at least one of a monologue or a dialogue; identify the digital content as a pre-existing content having a corresponding script stored in a language database; extract a sample of the at least one of the monologue or the dialogue included in the received digital content; perform a comparison of the extracted sample of the at least one of the monologue or the dialogue included in the received digital content with a corresponding sample of the script; and determine whether the at least one of the monologue or the dialogue is authentic based on the comparison of the extracted sample of the at least one of the monologue or the dialogue with the corresponding sample of the script.