Contact cropping from images

• US 9,332,101 B1
• Filed: 08/01/2014
• Issued: 05/03/2016
• Est. Priority Date: 11/12/2007
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Agopian, Mathias Marc, Wagner, Mark, Horowitz, Steven
• Primary Examiner(s): Desire, Gregory M
• Application Number:
  US14/449,713
• Time in Patent Office: 641 Days
• US Class Current: 1/1
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 2200/24 involving graphical user interfaces [GUIs]
• CPC Class Codes: G06T 2210/22 Cropping
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: H04M 1/27475 using interactive graphical means or pictorial representations

Abstract

The present disclosure provides methods and systems for storing image data in a mobile device. In some embodiments, the method includes generating an image on the mobile device, identifying automatically at least one person in the image, creating a cropped image of the at least one person and storing the cropped image to memory upon request of a user of the mobile device.

Claims

1. A computer-implemented method, comprising:

displaying, by a computing device, a first image;

receiving, based on user input, a request to generate a contact image from the first image;

identifying one or more features of a person in the first image;

cropping the first image to generate the contact image, the contact image including the one or more features of the person in the first image;

mapping the contact image to a particular contact record from among a plurality of contact records associated with a user of the computing device; and

displaying, based on the mapping, the contact image and a representation of the particular contact record.

2. The computer-implemented method of claim 1, wherein the user input is first user input, further comprising:

receiving, based on second user input, selection of the particular contact record, wherein the particular contact record is selected from among the plurality of contact records to be mapped to the contact image as a result of the selection of the particular contact record from the second user input.

3. The computer-implemented method of claim 1, wherein the user input is first user input, further comprising:

outputting, for display, a prompt that queries whether the contact image should be generated, wherein the request to generate the contact image from the first image is received as second user input that is responsive to the prompt.

4. The computer-implemented method of claim 1, wherein mapping the contact image to the particular contact record comprises substituting a previous mapping of another contact image to the particular contact record with a new mapping of the contact image to the particular contact record.

5. The computer-implemented method of claim 1, wherein the particular contact record is not associated with any contact image before the request to generate the contact image from the first image is received.

6. The computer-implemented method of claim 1, wherein the particular contact record includes identifying information for the person in the image and at least one of a phone number and an e-mail address associated with the person in the image.

7. The computer-implemented method of claim 1, wherein identifying the one or more features of the person in the image comprises identifying one or more jets from a representation of the image that correspond to the features, wherein the jets are comprised of wavelet transforms.

8. The computer-implemented method of claim 1, wherein identifying the one or more features of the person in the image comprises identifying a face of the person in the image, wherein the one or more features of the person include the face of the person.

9. The computer-implemented method of claim 1, further comprising identifying that multiple persons are presented in the image,

wherein identifying the one or more features of the person in the image comprises identifying the person from among the multiple persons presented in the image.

10. The computer-implemented method of claim 9, further comprising receiving an indication that user input selected the person in the image, wherein the person is identified from among the multiple persons presented in the image in response to receiving the indication that user input selected the person.

11. The computer-implemented method of claim 1, wherein cropping the first image to generate the contact image comprises:

(i) identifying a crop perimeter that encompasses the one or more features of the person in the image, and

(ii) generating the contact image so as to include in the contact image a first portion of the first image that is located within the crop perimeter to the exclusion of a second portion of the first image that is located outside of the crop perimeter.

12. The computer-implemented method of claim 11, wherein the crop perimeter is automatically determined.

13. The computer-implemented method of claim 11, wherein identifying the crop perimeter comprises:

automatically generating an initial crop perimeter; and

adjusting the initial crop perimeter based on user input that selects to change at least one of a size and a location of the initial crop perimeter.

14. The computer implemented method of claim 1, further comprising, for each of multiple persons in the image, defining a crop perimeter for the respective person that encompasses one or more features that are determined to correspond to the respective person.

15. The computer-implemented method of claim 1, wherein (i) identifying the one or more features of the person in the first image, and (ii) cropping the first image to generate the contact image, are automatically performed in response to receiving the request to generate the contact image.

16. The computer-implemented method of claim 15, wherein mapping the contact image to the particular contact record is further performed in response to receiving the request to generate the contact image.

17. One or more non-transitory computer-readable media having instructions stored thereon that, when executed by one or more processors, cause performance of operations comprising:

displaying, by a computing device, a first image;

receiving, based on user input, a request to generate a contact image from the first image;

identifying one or more features of a person in the first image;

cropping the first image to generate the contact image, the contact image including the one or more features of the person in the first image;

mapping the contact image to a particular contact record from among a plurality of contact records associated with a user of the computing device; and

displaying, based on the mapping, the contact image and a representation of the particular contact record.

18. The one or more non-transitory computer-readable media of claim 17, wherein:

the user input is first user input,

the operations further comprise receiving, based on second user input, selection of the particular contact record, and

the particular contact record is selected from among the plurality of contact records to be mapped to the contact image as a result of the selection of the particular contact record from the second user input.

19. The one or more non-transitory computer-readable media of claim 17, wherein the user input is first user input, wherein the operations further comprise:

outputting, for display, a prompt that queries whether the contact image should be generated, wherein the request to generate the contact image from the first image is received as second user input that is responsive to the prompt.

20. The one or more non-transitory computer-readable media of claim 17, wherein mapping the contact image to the particular contact record comprises substituting a previous mapping of another contact image to the particular contact record with a new mapping of the contact image to the particular contact record.