Systems and methods for piracy detection and prevention
AssigneeNagrastar LLC
InventorsBenjamin Brian Ellis, Diego Gonzalez
Life of this patent
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AssigneeNagrastar LLC
InventorsBenjamin Brian Ellis, Diego Gonzalez
Estimating the term…
Examples of the present disclosure describe systems and methods for detecting and preventing digital media piracy. In example aspects, a machine learning model is trained on a dataset related to digital media content. Input data may then be collected by a data collection engine and provided to a multimedia processor. The multimedia processor may extract multimedia features (e.g., audio, visual, etc.) and recognized patterns from the input data and provide the extracted multimedia features to a trained machine learning model. The trained machine learning model may compare the extracted features to the model, and a confidence value may be generated. The confidence value may be compared to a confidence threshold. If the confidence value is equal to or exceeds the confidence threshold, then the input data may be classified as pirated digital media. Remedial action response(s) may subsequently be deployed to thwart the piracy of the digital media.
A system comprising:
A method comprising:
A computer storage media storing computer executable instructions that when executed cause a computing system to perform a method comprising:
Dependencies are inferred from the claim text.