Systems and methods for virtual camera configuration

1. A system, comprising:

a plurality of cameras disposed about an area;

at least one processor; and

at least one non-transitory, computer-readable medium communicatively coupled to the at least one processor, wherein the at least one non-transitory, computer-readable medium is configured to store instructions which, when executed, cause the processor to perform operations comprising:

receiving a set of game data associated with a first game statistic, a first player position, a first team formation, or any combination thereof;

receiving a set of audiovisual data associated with the plurality of cameras;

receiving a set of camera presets associated with a set of virtual cameras, the set of camera presets associated with operating parameters for the set of virtual cameras;

generating a set of training data associated with the set of audiovisual data, the set of camera presets, the set of game data, or any combination thereof;

training a model based on the set of training data; and

generating, by using the model on a second set of game data and a second set of audiovisual data, a second set of camera presets associated with the set of virtual cameras.

2. The system of claim 1 , wherein the instructions, when executed, cause the processor to perform operations comprising:

generating a set of test data associated with the set of audiovisual data, the set of camera presets, the set of game data, or any combination thereof; and

determining an accuracy of the model based on applying the model to the set of test data.

3. The system of claim 1 , wherein the instructions, when executed, cause the processor to perform operations comprising generating a set of validation data associated with the set of audiovisual data, the set of camera presets, the set of game data, or any combination thereof.

4. The system of claim 1 , wherein the model comprises a hierarchical binary classifier.

5. The system of claim 1 , wherein the instructions, when executed, cause the processor to perform operations comprising normalizing the set of training data, wherein the normalized set of training data comprises a set of values between 0 and 1.

6. The system of claim 1 , wherein the instructions, when executed, cause the processor to perform operations comprising selecting a first camera preset from the second set of camera presets based on the second set of game data, wherein the second set of game data comprises a second game statistic.

7. The system of claim 1 , wherein the first game statistic comprises average rushing yards.

8. The system of claim 1 , wherein the set of audiovisual data comprises a time of use associated with at least one camera of the plurality of cameras, a set of camera actions associated with the at least one camera, a type of camera associated with the at least one camera, or any combination thereof.

9. The system of claim 8 , wherein the set of camera actions comprises a pan, a zoom, a focus, a tilt, or any combination thereof.

10. The system of claim 1 , wherein each camera preset comprises a location of a virtual camera, a point of view of the virtual camera, a focal length of the virtual camera, a vertical camera aperture of the virtual camera, a horizontal camera aperture of the virtual camera, or any combination thereof.

11. The system of claim 1 , wherein the set of audiovisual data and the set of game data are associated with a previous event.

12. The system of claim 1 , wherein the instructions, when executed, cause the processor to perform operations comprising operating a virtual camera of the set of virtual cameras based on one of the second set of camera presets.

13. The system of claim 12 , wherein the instructions, when executed, cause the processor to perform operations comprising:

wherein operating the virtual camera comprises generating a sequence of images based on a third set of audiovisual data associated with the plurality of cameras.