Nbcuniversal Media, LLC

Disney Enterprises, Inc.

Eric J Avila

Erika Varis Doggett

Robert Glenn Deen

Michael Shane Wilkinson

Anthony Christopher Anderson

Rebecca Bever

Braxton Paul Perkins

Bethany Harvey Frauenberger

Borzou Afshar

Sarah Y Moon

A tangible, non-transitory machine-readable medium includes machine readable instructions that, when executed by processing circuitry, cause the processing circuitry to receive an inquiry regarding digital content. The inquiry is indicative of a request for the digital content or a request for a determination to be made regarding the digital content. The instructions, when executed, also cause the processing circuitry to process the inquiry by analyzing aggregated result data generated using a series of neural network layers based on the digital content and metadata associated with the digital content. Furthermore, the instructions, when executed, cause the processing circuitry to generate response data to the inquiry using a neural network based on analyzing the aggregated result data.

Artificial intelligence-assisted content source identification

A content transport security system includes a computing platform having processing hardware and a memory storing software code and a database including one or more business rule(s). The processing hardware executes the software code to intercept a content file including a content asset, during a file transfer of the content file between a client device and a destination device, determine an authorization status of the destination device, and decrypt the content file, using a decryption key corresponding to an encryption key available to the client device. The processing hardware further executes the software code to search the content asset for a forensic identifier, assign a classification to the file transfer, based on the authorization status and a result of the searching, the classification being one of allowable, forbidden, or suspicious, and allow or block the file transfer to the destination device, based on the classification and the business rule(s).

Automated content transport security

A method for matching a first three-dimensional (3D) model includes obtaining 3D source information of a second 3D model, the 3D source information including a plurality of physical characteristics of the second 3D model, determining a plurality of factors of the second 3D model based on the obtained 3D source information, obtaining a first 3D fingerprint of the first 3D model from a memory, the first 3D fingerprint comprising a plurality of factors associated with the first 3D model, comparing the plurality of factors of the second 3D model to the plurality of factors of the first 3D fingerprint, providing information of a match confidence level between the first 3D model and the second 3D model based on the comparison, and storing a second 3D fingerprint of the second 3D model in the memory, the second 3D fingerprint including the determined plurality of factors of the second 3D model.

Apparatus and method for generating a fingerprint and identifying a three-dimensional model

Growing community of inventors

Los Angeles, CA, United States of America

Eric J Avila