Recommending transformations for photography

• US 9,154,709 B2
• Filed: 12/21/2012
• Issued: 10/06/2015
• Est. Priority Date: 12/21/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Cohen, Richard Zarek, Hamilton, Robert William
• Primary Examiner(s): LAM, HUNG H
• Application Number:
  US13/723,761
• Publication Number:
  US 20140176732A1
• Time in Patent Office: 1,019 Days
• Field of Search: 348/143, 348/149, 348/241, 348/231.5, 348/207.1, 725/105
• US Class Current: 1/1
• 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. computer-implemented method comprising:

identifying, by one or more computing devices, a content-related aspect of a captured 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 same as or similar to the identified content-related aspect of the captured digital image;

analyzing visual content of the one or more other digital images to identify, by the one or more computing devices, one or more image filters, including a first image filter and a second image filter that transformed the one or more other digital images after capture;

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

receiving a selection of the first image filter and the second image filter from the list of image filters; and

transforming the captured digital image by applying, by the one or more computing devices, the first image filter and the second image filter to the captured digital image.

2. The computer-implemented method of claim 1 wherein identifying the one or more other digital images is based upon, at least in part, one or more indications of popularity associated with the one or more other digital images.

3. The computer-implemented method of claim 1 wherein analyzing the visual content to identify the one or more image filters, including the first image filter that transformed the one or more other digital images after capture, comprises applying heuristic rules to identify application of the one or more image filters.

4. The computer-implemented method of claim 1 wherein analyzing the visual content of the one or more other digital images to identify one or more image filters, including the first image filter that transformed the one or more other digital images after capture comprises identifying application of a color-related filter based upon, at least in part, identifying color data associated with the one or more other digital images.

5. A computer-implemented method comprising:

identifying, by one or more computing devices, an aspect of a captured 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 same as or similar to the identified aspect of the captured image;

analyzing visual content of the one or more other images to identify, by the one or more computing devices, one or more image filters, including a first image filter and a second image filter that transformed the one or more other images after capture;

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

receiving a selection of the first image filter and the second image filter from the list of one or more image filters; and

transforming the captured image by applying, by the one or more computing devices, the first image filter and the second image filter to the captured image.

6. The computer-implemented method of claim 5 wherein the aspect of the captured image is associated with visual content of the captured image.

7. The computer-implemented method of claim 5 wherein the list of image filters includes more one listed image filters and further comprising:

providing a preview of the captured image with representations of effects of the more than one listed image filters applied individually on the captured image.

8. The computer-implemented method of claim 5 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.

9. The computer-implemented method of claim 5 wherein analyzing the visual content to identify the one or more image filters, including the first image filter that transformed the one or more other image after capture comprises applying heuristic rules to identify application of the one or more image filters.

10. The computer-implemented method of claim 5 wherein analyzing the visual content of the one or more other images to identify one or more image filters, including the first image filter that transformed the one or more other image after capture comprises identifying application of a color-related filter based upon, at least in part, identifying color data associated with the one or more other images.

11. The computer-implemented method of claim 5 wherein the image comprises a view displayed on a viewfinder of a camera.

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 a captured 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 captured image;

analyzing visual content of the one or more other images to identify one or more image filters, including a first image filter and a second image filter that transformed the one or more other images after capture;

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

receiving a selection of the first image filter and the second image filter from the list of one or more image filters; and

transforming the captured image by applying the first image filter and the second image filter to the captured image.

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

14. The computer program product of claim 12 wherein the list of image filters includes more one listed image filters and the operations further comprise:

providing a preview of the captured image with representations of effects of the more than one listed image filters applied individually on the captured image.

15. 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.

16. The computer program product of claim 12 wherein analyzing visual content of the one or more other images to identify the one or more image filters, including the first image filter, comprises applying heuristic rules to identify application of the one or more image filters.

17. The computer program product of claim 12 wherein analyzing visual content to identify the one or more image filters, including the first image filter that transformed the one or more other image after capture comprises identifying application of a color-related filter based upon, at least in part, identifying color data associated with the one or more other images.