Making image-based product from digital image collection

1. A method of generating an image-based product, the method comprising:

selecting, by a computing device, a theme having a corresponding image distribution, wherein the image distribution comprises a pre-defined distribution of image types for elements of a narrative structure associated with the theme;

analyzing, by the computing device, a relative frequency of image types in an image collection comprising a plurality of availability digital images;

modifying, by the computing device, the pre-defined distribution of image types based at least on the relative frequency of image types in the image collection;

selecting, by the computing device, digital images from the plurality of available digital images that correspond to the image types for the elements of the narrative structure associated with the theme based at least on the modified pre-defined distribution of image types; and

assembling, by the computing device, the selected digital images into an image-based product.

2. The method of claim 1 , further comprising causing the construction of the image-based product.

3. The method of claim 1 , wherein the image-based product comprises an electronic image-based product or a printed image-based product.

4. The method of claim 1 , further comprising analyzing the plurality of available digital images to determine one or more themes.

5. The method of claim 1 , further comprising receiving one or more image distributions.

6. The method of claim 1 , further comprising providing one or more image distributions associated with an image-based product.

7. The method of claim 6 , further comprising selecting one of the one or more image distributions based at least on the relative frequency of image types in the image collection.

8. The method of claim 1 , further comprising providing a plurality of image distributions associated with one theme.

9. The method of claim 1 , further comprising making an image distribution based on the selected theme.

10. The method of claim 1 , further comprising selecting an alternative image distribution when an image distribution does not correspond with the plurality of available digital images.

11. The method of claim 1 , wherein the image types include one or more of the types: introduction type, character type, person type, object type, action type, and conclusion type.

12. The method of claim 1 , wherein the digital images have a temporal association, and wherein the image distribution includes an image type time order.

13. The method of claim 1 , wherein the image distribution includes a specified distribution of person or character image types.

14. The method of claim 1 , wherein an image type includes an identified person type.

15. The method of claim 1 , wherein the image product is a photo-book or a photo-collage.

16. The method of claim 1 , further comprising analyzing the plurality of available digital images to identify themes associated with the plurality of digital images.

17. The method of claim 1 , further comprising generating and storing one or more image distributions based on the themes identified.

18. The method of claim 1 , further comprising receiving one or more image distributions or one or more themes associated with the image collection.

19. The method of claim 1 , further comprising storing the plurality of available digital images.

20. The method of claim 1 , further comprising:

determining a relative uniqueness of an image in the image collection;

modifying the pre-defined distribution of image types based at least on the relative uniqueness of the image.

21. A non-transitory computer-readable medium having instructions stored thereon that, upon execution, cause a computer device to perform operations comprising:

select a theme having a corresponding image distribution, wherein the image distribution comprises a pre-defined distribution of image types for elements of a narrative structure associated with the theme;

analyze a relative frequency of image types in an image collection comprising a plurality of a availability digital images;

modify the pre-defined distribution of image types based at least on the relative frequency of image types in the image collection;

select digital images from the plurality of available digital images that correspond to the image types for the elements of the narrative structure associated with the theme based at least on the modified pre-defined distribution of image types; and

assemble the selected digital images into an image-based product.

22. The non-transitory computer readable medium of claim 21 , the operations further comprising storing the plurality of available digital images.

23. A system comprising:

one or more processors configured to:

select a theme having a corresponding image distribution, wherein the image distribution comprises a pre-defined distribution of image types for elements of a narrative structure associated with the theme;

analyze a relative frequency of image types in an image collection comprising a plurality of availability digital images;

modify the pre-defined distribution of image types based at least on the relative frequency of image types in the image collection;

select digital images from a plurality of available digital images that correspond to the image types for the elements of the narrative structure associated with the theme based at least on the modified pre-defined distribution of image types; and

assemble the selected digital images into an image-based product.

24. The system of claim 23 , wherein the one or more processors are further configured to analyze the plurality of available digital images to determine one or more themes.