US 2024/0257482 A1 · SYSTEMS AND METHODS FOR AUTOMATED INSERTION OF SUPPLEMENTAL CONTENT INTO A VIRTUAL ENVIRONMENT USING A MACHINE LEARNING MODEL

Abstract

Insertion of supplemental content into a virtual environment is automated using a machine learning model. The machine learning model is trained to calculate a confidence value that a candidate virtual object fits into a virtual environment based on an input that includes a candidate virtual object, a list of persistent virtual objects, and a list of temporary virtual objects. The machine learning model is trained using the persistent and temporary objects displayed in the current virtual environment until it predicts that a selected virtual object fits into the current virtual environment. The trained machine learning model is then used to select a virtual object comprising supplemental content to be inserted as a new virtual object in the virtual environment.

Claims20

Dependent claims

A method for inserting a candidate supplemental virtual object in a virtual environment, the method comprising:

identifying, based on virtual environment information, a plurality of persistent virtual objects and a plurality of temporary virtual objects;
retrieving the candidate supplemental virtual object;
calculating, using a machine learning model, based on (i) the candidate supplemental virtual object, (ii) the plurality of persistent virtual objects, and (iii) the plurality of temporary virtual objects, a confidence value indicating whether the candidate supplemental virtual object fits into the virtual environment;
and
in response to determining that the confidence value is indicative of the candidate supplemental virtual object fitting in the virtual environment, inserting the candidate supplemental virtual object in the virtual environment.

2 more elements

A system for inserting a candidate supplemental virtual object in a virtual environment comprising:

input/output circuitry configured to access virtual environment information;
and
control circuitry configured to:
identify, based on the virtual environment information, a plurality of persistent virtual objects and a plurality of temporary virtual objects;
retrieve the candidate supplemental virtual object;
calculate, using a machine learning model, based on (i) the candidate supplemental virtual object, (ii) the plurality of persistent virtual objects, and (iii) the plurality of temporary virtual objects, a confidence value indicating whether the candidate supplemental virtual object fits into the virtual environment;
and
in response to determining that the confidence value is indicative of the candidate supplemental virtual object fitting in the virtual environment, insert the candidate supplemental virtual object in the virtual environment.

5 more elements

Dependencies are inferred from the claim text.

Systems and methods for automated insertion of supplemental content into a virtual environment using a machine learning model

Life of this patent

Systems and methods for automated insertion of supplemental content into a virtual environment using a machine learning model

Life of this patent

Abstract

Claims20