Automated regeneration of low quality content to high quality content

1. A method for creating content based on one or more previously stored content structures, the method comprising:

accessing a stored first content structure that comprises a first attribute table including a first list of attributes of a first object, and a first mapping including first attribute values corresponding to the first list of attributes, wherein the first list of attributes of the first object comprises a resolution attribute indicating a first quality;

receiving a request to modify the attribute to indicate a second quality;

searching a plurality of content structures for a second content structure that comprises a second attribute table including a second list of attributes of a second object, wherein the second list of attributes:

(a) comprises a quality attribute indicating the second quality; and

(b) comprises another attribute that matches a corresponding attribute of the first list of attributes of the first object;

modifying the first attribute table of the first content structure to include the second list of attributes of the second object; and

generating for output a content segment based on the first content structure.

2. The method of claim 1 , further comprising:

modifying the first attribute table of the first content structure to exclude the first list of attributes of the first object.

3. The method of claim 1 , wherein the quality attribute is a vector density attribute.

4. The method of claim 3 , wherein the attribute of the second list of attributes of the second object that matches the corresponding attribute of the first list of attributes of the first object is a vectorized representation of the second object.

5. The method of claim 4 , wherein an outline created by the vectorized representation of the second object matches an outline created by a vectorized representation of the first object.

6. The method of claim 3 , further comprising: modifying the vectorized representation of the second object to modify vector density.

7. The method of claim 6 , wherein the modifying the vectorized representation of the second object to modify vector density comprises inputting the vectorized representation of the second object into a neural network configured to increase vector density.

8. The method of claim 1 , wherein the quality attribute is at least one of: a spectral resolution attribute, a temporal resolution attribute, and a coloration attribute.

9. The method of claim 1 , wherein the first quality is lower quality and the second quality is high quality.

10. The method of claim 1 , wherein the first quality is high quality and the second quality is lower quality.

11. A system for creating content based on one or more previously stored content structures, the system comprising:

control circuitry configured to:

access a stored first content structure that comprises a first attribute table including a first list of attributes of a first object, and a first mapping including first attribute values corresponding to the first list of attributes, wherein the first list of attributes of the first object comprises a resolution attribute indicating a first quality;

receive a request to modify the attribute to indicate a second quality;

search a plurality of content structures for a second content structure that comprises a second attribute table including a second list of attributes of a second object, wherein the second list of attributes:

(a) comprises a quality attribute indicating the second quality; and

(b) comprises another attribute that matches a corresponding attribute of the first list of attributes of the first object;

modify the first attribute table of the first content structure to include the second list of attributes of the second object; and

a construction engine configured to:

generate for output a content segment based on the first content structure.

12. The system of claim 11 , wherein the control circuitry is configured to:

modify the first attribute table of the first content structure to exclude the first list of attributes of the first object.

13. The system of claim 11 , wherein the quality attribute is a vector density attribute.

14. The system of claim 13 , wherein the attribute of the second list of attributes of the second object that matches the corresponding attribute of the first list of attributes of the first object is a vectorized representation of the second object.

15. The system of claim 14 , wherein an outline created by the vectorized representation of the second object matches an outline created by a vectorized representation of the first object.

16. The system of claim 13 , wherein the control circuitry is configured to modify the vectorized representation of the second object to modify vector density.

17. The system of claim 16 , wherein the control circuitry is configured to modify the vectorized representation of the second object to modify vector density by inputting the vectorized representation of the second object into a neural network configured to increase vector density.

18. The system of claim 11 , wherein the quality attribute is at least one of: a spectral resolution attribute, a temporal resolution attribute, and a coloration attribute.

19. The system of claim 11 , wherein the first quality is lower quality and the second quality is high quality.

20. The system of claim 11 , wherein the first quality is high quality and the second quality is lower quality.