US 10,951,958 B1Granted

Authenticity assessment of modified content

AssigneeDisney Enterprises, Inc.

InventorsMark Arana, Edward C. Drake, Miquel Angel Farre Guiu, Anthony M. Accardo

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Abstract

A system for assessing authenticity of modified content includes a computing platform having a hardware processor and a memory storing a software code including a neural network trained to assess the authenticity of modified content generated based on baseline digital content and including one or more modifications to the baseline digital content. The hardware processor executes the software code to use the neural network to receive the modified content and to assess the authenticity of each of the one or more modifications to the baseline digital content to produce one or more authenticity assessments corresponding respectively to the one or more modifications to the baseline digital content. The hardware processor is also configured to execute the software code to generate an authenticity evaluation of the modified content based on the one or more authenticity assessments, and to output the authenticity evaluation for rendering on a display.

Claims26

Dependent claims

A system comprising:

a computing platform including a hardware processor and a system memory;
a software code stored in the system memory, the software code including a neural network trained to assess an authenticity of a modified content generated based on a baseline digital content, the modified content including one or more modifications to the baseline digital content;
the hardware processor being configured to execute the software code to:
receive, using the neural network, the modified content;
distinguish, using the neural network, the one or more modifications to the baseline digital content, from the baseline digital content;
assess, using the neural network, an authenticity of each of the one or more modifications to the baseline digital content distinguished from the baseline digital content to produce one or more authenticity assessments corresponding respectively to the one or more modifications to the baseline digital content distinguished from the baseline digital content;
generate an authenticity evaluation of the modified content based on the one or more authenticity assessments;
and
output the authenticity evaluation for rendering on a display.

6 more elements

A method for use by a system including a computing platform having a hardware processor and a system memory storing a software code including a neural network trained to assess an authenticity of a modified content generated based on a baseline digital content, the modified content including one or more modifications to the baseline digital content, the method comprising:

receiving, by the software code executed by the hardware processor and using the neural network, the modified content;
distinguishing, by the software code executed by the hardware processor and using the neural network, the one or more modifications to the baseline digital content, from the baseline digital content;
assessing, by the software code executed by the hardware processor and using the neural network, an authenticity of each of the one or more modifications to the baseline digital content distinguished from the baseline digital content to produce one or more authenticity assessments corresponding respectively to the one or more modifications to the baseline digital content distinguished from the baseline digital content;
generating, by the software code executed by the hardware processor, an authenticity evaluation of the modified content based on the one or more authenticity assessments;
and
outputting, by the software code executed by the hardware processor, the authenticity evaluation for rendering on a display.

3 more elements

Dependencies are inferred from the claim text.