Recognition and valuation of products within video content

1. A computer-implemented method for identifying one or more products, brands and/or green screen objects within video content and valuations thereof, the method comprising:

receiving, by a processor, video content;

analyzing, by the processor, the video content to identify one or more products, brands and/or green screen objects within the video content;

assigning, by the processor, a product placement score to each of the identified one or more products, brands and/or green screen objects, wherein the product placement score for each of the product, brand and/or green screen object is based on a screen time duration and location of each of the product, brand and/or green screen object in the video content;

modifying, by the processor, the product placement score for a first object of the identified one or more products, brands and/or green screen objects based on determining a positive context or a negative context of a use of the first object in the video content;

outputting, by the processor, a dataset including product placement scores assigned to each of the identified one or more products, brands and/or green screen objects, wherein the dataset provides a valuation for each of the identified one or more products, brands and/or green screen objects based on an associated product placement score; and

modifying the video content to replace the first object of the one or more products, brands and/or green screen objects with a second object.

2. The computer-implemented method of claim 1 , wherein the video content is analyzed using a visual analysis to identify one or more products, brands and/or green screen objects within the video content.

3. The computer-implemented method of claim 1 , wherein the video content is analyzed using an audio analysis to identify one or more products, brands and/or green screen objects within the video content.

4. The computer-implemented method of claim 3 , further comprising using the audio analysis to determine that one or more products, brands and/or green screen objects identified using visual analysis has been referred to within the video content.

5. The computer-implemented method of claim 1 , further comprising:

obtaining an agreed product placement score for a first product of the one or more products, brands, and/or green screen objects; and

based on a determination that the product placement score for the first product is below the agreed product placement score, flagging the first product for a re-shoot of one or more scenes including a placement of the first product.

6. The computer-implemented method of claim 1 , wherein the replacement one or more of the identified one or more products, brands and/or green screen objects within the video content is in response to a change in advertising locale.

7. The computer-implemented method of claim 1 , wherein a green screen object is associated with locations within the video content that are not associated with a product and/or brand when the video content is analyzed.

8. A computer program product for identifying one or more products, brands and/or green screen objects within video content and valuations thereof, the computer program product comprising:

a non-transitory computer readable storage medium having stored thereon first program instructions executable by a processor to cause the processor to:

receive video content;

analyze the video content to identify one or more products, brands and/or green screen objects within the video content;

assign a product placement score to each of the identified one or more products, brands and/or green screen objects, wherein the product placement score for each of the product, brand and/or green screen object is based on a screen time duration and location of each of the product, brand and/or green screen object in the video content;

modifying, by the processor, the product placement score for a first object of the identified one or more products, brands and/or green screen objects based on determining a positive context or a negative context of a use of the first object in the video content;

output a dataset including product placement scores assigned to each of the identified one or more products, brands and/or green screen objects, wherein the dataset provides a valuation for each of the identified one or more products, brands and/or green screen objects based on an associated product placement score; and

modifying the video content to replace the first object of the one or more products, brands and/or green screen objects with a second object.

9. The computer program product of claim 8 , wherein the video content is analyzed using a visual analysis to identify one or more products, brands and/or green screen objects within the video content.

10. The computer program product of claim 8 , wherein the video content is analyzed using an audio analysis to identify one or more products, brands and/or green screen objects within the video content.

11. The computer program product of claim 10 , further comprising using the audio analysis to determine that one or more products, brands and/or green screen objects identified using visual analysis has been referred to within the video content.

12. The computer program product of claim 8 , wherein the replacement one or more of the identified one or more products, brands and/or green screen objects within the video content is in response to a change in advertising locale.

13. The computer program product of claim 8 , wherein a green screen object is associated with locations within the video content that are not associated with a product and/or brand when the video content is analyzed.

14. A system comprising:

a storage medium coupled to a processor;

the processor configured to:

receive video content;

analyze the video content to identify one or more products, brands and/or green screen objects within the video content;

assign a product placement score to each of the identified one or more products, brands and/or green screen objects, wherein the product placement score for each of the product, brand and/or green screen object is based on a screen time duration and location of each of the product, brand and/or green screen object in the video content;

modifying, by the processor, the product placement score for a first object of the identified one or more products, brands and/or green screen objects based on determining a positive context or a negative context of a use of the first object in the video content;

output a dataset including product placement scores assigned to each of the identified one or more products, brands and/or green screen objects, wherein the dataset provides a valuation for each of the identified one or more products, brands and/or green screen objects based on an associated product placement score; and

modifying the video content to replace the first object of the one or more products, brands and/or green screen objects with a second object.

15. The system of claim 14 , wherein the video content is analyzed using a visual analysis to identify one or more products, brands and/or green screen objects within the video content.

16. The system of claim 14 , wherein the video content is analyzed using an audio analysis to identify one or more products, brands and/or green screen objects within the video content.

17. The system of claim 16 , further comprising using the audio analysis to determine that one or more products, brands and/or green screen objects identified using visual analysis has been referred to within the video content.