Granted Patent B2

US 12,632,514 · App. 19/306,727 · Granted May 19, 2026

Inventors: Christopher Horton (Santa Monica, CA); Jeremy Uzan (Santa Monica, CA); Sion Elliott (Santa Monica, CA); Daniel A. Drolet (Charleston, SC)

Assignee: Music IP Holdings, Inc.

G06F21/106G06F16/632G06F21/1084G06F40/205G06F2221/2137

Abstract

Claims (79)

1 . A system comprising:

a database server;

a content derivation platform comprising:

at least one processor; and

instructions that, when executed by the at least one processor, cause the system to:

receive predetermined content from at least one of the database server or a user upload;

receive a request to transform the predetermined content into a derivative work, wherein the request includes a requested theme directed to a characteristic of the derivative work, and wherein the at least one processor executes transformation operations based on the predetermined content and the requested theme;

evaluate, using an evaluation model, the request against pre-generation preference data;

in response to the request satisfying the pre-generation preference data, create the derivative work as a function of the predetermined content and the requested theme using generative artificial intelligence comprising a generative machine learning model configured to generate content based on the requested theme; and

provide access to the derivative work.

2 . The system of claim 1 , wherein the instructions further cause the system to:

after creating the derivative work, evaluate the derivative work against post-generation preference data; and

provide access to the derivative work in response to the derivative work satisfying the post-generation preference data.

3 . The system of claim 2 , wherein:

the pre-generation preference data comprises at least one of prohibited themes, restricted transformation types, or usage limitations; and

the post-generation preference data comprises at least one of explicit content filters, copyright infringement detection, or quality thresholds.

4 . The system of claim 1 , wherein the instructions further cause the system to:

embed a watermark in the derivative work before providing access, wherein the watermark comprises at least one of an identifier for a generative source, a flag indicating AI content, usage rights, attribution data, or a unique identifier.

5 . The system of claim 4 , wherein:

the watermark includes a time-to-live value; and

the instructions further cause the system to revoke access to the derivative work upon expiration of the time-to-live value.

6 . The system of claim 4 , wherein the instructions further cause the system to:

configure an authorization server to detect usage of the derivative work based on the watermark; and

automatically execute a smart contract to distribute payments to stakeholders upon detecting usage of the derivative work.

7 . The system of claim 4 , wherein to provide access to the derivative work comprises to:

request a verification of the watermark by an authorization server in response to an access attempt; and

maintain an access log that records each verified access instance for royalty calculation.

8 . The system of claim 1 , wherein the instructions further cause the system to:

apply a content approval machine learning model trained on historical approval decisions of a content owner to determine whether to create the derivative work.

9 . The system of claim 8 , wherein:

the content approval machine learning model is configured to identify prohibited elements in at least one of the request or the derivative work based on learned patterns from content owner feedback; and

the instructions further cause the system to reject at least one of creation of or access to the derivative work upon detection of prohibited elements.

10 . The system of claim 8 , wherein the instructions further cause the system to:

update the content approval machine learning model based on new content owner feedback for approved and rejected derivative works; and

adjust approval thresholds as the content approval machine learning model learns content owner preferences over time.

11 . The system of claim 1 , wherein to provide access to the derivative work comprises to:

generate a time-limited access token unique to a requesting user;

deliver the derivative work through a secure streaming protocol that prevents local storage; and

terminate access upon expiration of the time-limited access token.

12 . The system of claim 1 , wherein to provide access to the derivative work comprises to:

detect a geographic location of a user requesting access;

verify the geographic location against geographic restrictions associated with the derivative work; and

at least one of:

selectively enable or disable access based on geographic verification, or

selectively pay rights owners based on geographic verification.

13 . The system of claim 1 , wherein the requested theme directs the at least one processor to execute at least one of tempo modifications, instrumentation changes, style transformations, or genre adaptations.

14 . A system comprising:

a content derivation platform comprising:

at least one processor; and

instructions that, when executed by the at least one processor, cause the system to:

receive content;

receive a request to transform the content into a derivative work, wherein the request includes a requested theme directed to a characteristic of the derivative work, and wherein the at least one processor executes transformation operations based on the content and the requested theme;

evaluate, using an evaluation model, the request against pre-generation preference data;

in response to the request satisfying the pre-generation preference data, create the derivative work as a function of the content and the requested theme using generative artificial intelligence comprising a generative machine learning model configured to generate content based on the requested theme; and

provide access to the derivative work.

15 . A method for creating a derivative work, comprising:

receiving predetermined content from at least one of a database server or a user upload;

receiving a request to transform the predetermined content into a derivative work, wherein the request includes a requested theme directed to a characteristic of the derivative work, and wherein at least one processor executes transformation operations based on the predetermined content and the requested theme;

evaluating, using an evaluation model, the request against pre-generation preference data;

in response to the request satisfying the pre-generation preference data, creating the derivative work as a function of the predetermined content and the requested theme using generative artificial intelligence comprising a generative machine learning model configured to generate content based on the requested theme; and

embodying at least a portion of the derivative work in computer storage media.

16 . The method of claim 15 , further comprising:

conducting an interactive interview with a user through a chatbot interface to determine the requested theme; and

mapping user responses to pre-approved theme parameters stored in a filter database.

17 . The method of claim 15 , further comprising:

embedding a watermark in the derivative work, wherein the watermark includes a cryptographically signed hash that enables verification of authenticity; and

storing metadata about the derivative work in a data store to create an immutable record of the derivative work.

18 . The method of claim 15 , wherein creating the derivative work comprises:

encoding the predetermined content into a shared latent space using an encoder;

applying a diffusion model in the shared latent space to transform the predetermined content according to the requested theme; and

decoding transformed content from the shared latent space to generate the derivative work.

19 . The system of claim 1 , wherein the evaluation model and the generative machine learning model are a same machine learning model.

20 . The system of claim 1 , wherein the evaluation model and the generative machine learning model are different models.

21 . The method of claim 15 , further comprising:

after creating the derivative work, evaluating the derivative work against post-generation preference data; and

providing access to the derivative work in response to the derivative work satisfying the post-generation preference data.

22 . The method of claim 21 , wherein:

the pre-generation preference data comprises at least one of prohibited themes, restricted transformation types, or usage limitations; and

the post-generation preference data comprises at least one of explicit content filters, copyright infringement detection, or quality thresholds.

Continuity (4)

References Cited (101)