RECOMMENDING TRANSFORMATIONS FOR PHOTOGRAPHY

• US 20140176732A1
• Filed: 12/21/2012
• Published: 06/26/2014
• Est. Priority Date: 12/21/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Hamilton, Robert William, Cohen, Richard Zarek
• Granted Patent: US 9,154,709 B2
• Time in Patent Office: Days
• US Class Current: 348/207.1
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/20024 Filtering details
• CPC Class Codes: H04N 13/122 Improving the 3D impression of stereoscopic images by modifying image signal contents, e.g. by filtering or adding monoscopic depth cues H04N13/128 takes precedence
• CPC Class Codes: H04N 19/117 Filters, e.g. for pre-processing or post-processing sub-band filter banks H04N19/635
• CPC Class Codes: H04N 21/4545 Input to filtering algorithms, e.g. filtering a region of the image
• CPC Class Codes: H04N 23/632 for displaying or modifying preview images prior to image capturing, e.g. variety of image resolutions or capturing parameters
• CPC Class Codes: H04N 23/64 Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
• CPC Class Codes: H04N 23/661 Transmitting camera control signals through networks, e.g. control via the Internet
• CPC Class Codes: H04N 5/2621 Cameras specially adapted for the electronic generation of special effects during image pickup, e.g. digital cameras, camcorders, video cameras having integrated special effects capability

Abstract

A method, computer program product, and system is described. An aspect of an image is identified. One or more other images are identified based upon, at least in part, the one or more other images including one or more other aspects similar to the identified aspect of the image. One or more image filters associated with the one or more other images, including a first image filter, are identified. The first image filter is applied to the image.

Claims

1. A computer-implemented method comprising:

identifying, by one or more computing devices, a content-related aspect of a digital image;

identifying, by the one or more computing devices, one or more other digital images based upon, at least in part, the one or more other digital images including one or more other content-related aspects similar to the identified content-related aspect of the digital image;

identifying, by the one or more computing devices, one or more image filters, including a first image filter, associated with the one or more other digital images; and

applying, by the one or more computing devices, the first image filter to the digital image.

2. A computer-implemented method comprising:

identifying, by one or more computing devices, an aspect of an image;

identifying, by the one or more computing devices, one or more other images based upon, at least in part, the one or more other images including one or more other aspects similar to the identified aspect of the image;

identifying, by the one or more computing devices, one or more image filters, including a first image filter, associated with the one or more other images; and

applying, by the one or more computing devices, the first image filter to the image.

3. The computer-implemented method of claim 2 wherein the aspect of the image is associated with the visual content of the image.

4. The computer-implemented method of claim 2 wherein applying the first image filter to the image comprises:

providing a list of image filters including the one or more identified image filters; and

receiving a selection of the first image filter from the list of image filters.

5. The computer-implemented method of claim 4 further comprising:

providing a preview of the effects of the first image filter on the image.

6. The computer-implemented method of claim 2 wherein identifying the one or more other images is based upon, at least in part, one or more indications of popularity associated with the one or more other images.

7. The computer-implemented method of claim 2 wherein identifying the use of the one or more image filters, including the first image filter, on the one or more other images comprises applying heuristic rules to identify an application of the one or more image filters.

8. The computer-implemented method of claim 2 wherein identifying the use of the one or more image filters, including the first image filter, on the one or more other images comprises identifying an application of a color-related filter based upon, at least in part, identifying color data associated with the one or more other images.

9. The computer-implemented method of claim 2 wherein identifying the use of the one or more image filters, including the first image filter, on the one or more other images comprises analyzing metadata associated with one or more of the one or more other images.

10. The computer-implemented method of claim 2:

wherein the image comprises a view displayed on a viewfinder of a camera.

11. The computer-implemented method of claim 10 wherein one or more of identifying the aspect of the image, identifying the one or more other images, identifying the use of one or more image filters, and applying the first image filter to the image occur in near real-time.

12. A computer program product residing on a non-transitory computer readable medium having a plurality of instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising:

identifying an aspect of an image;

identifying one or more other images based upon, at least in part, the one or more other images including one or more other aspects similar to the identified aspect of the image;

identifying a use of one or more image filters, including a first image filter, on the one or more other images; and

applying the first image filter to the image.

13. The computer program product of claim 12 wherein the aspect of the image is associated with the visual content of the image.

14. The computer program product of claim 12 wherein applying the first image filter to the image comprises:

providing a list of image filters including the one or more identified image filters; and

receiving a selection of the first image filter from the list of image filters.

15. The computer program product of claim 14 wherein the operations further comprise:

providing a preview of the effects of the first image filter on the image.

16. The computer program product of claim 12 wherein identifying the one or more other images is based upon, at least in part, one or more indications of popularity associated with the one or more other images.

17. The computer program product of claim 12 wherein identifying the use of the one or more image filters, including the first image filter, on the one or more other images comprises applying heuristic rules to identify an application of the one or more image filters.

18. The computer program product of claim 12 wherein identifying the use of the one or more image filters, including the first image filter, on the one or more other images comprises identifying an application of a color-related filter based upon, at least in part, identifying color data associated with the one or more other images.

19. The computer program product of claim 12 wherein identifying the use of the one or more image filters, including the first image filter, on the one or more other images comprises analyzing metadata associated with one or more of the one or more other images.

20. The computer program product of claim 12 wherein:

the image comprises a view displayed on a viewfinder of a camera; and

one or more of identifying the aspect of the image, identifying the one or more other images, identifying the use of one or more image filters, and applying the first image filter to the image occur in near real-time.