The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 10, 2018

Filed:

Oct. 24, 2013
Applicant:

Adobe Systems Incorporated, San Jose, CA (US);

Inventors:

Zhe Lin, Fremont, CA (US);

Radomir Mech, Mountain View, CA (US);

Peng Wang, Los Angeles, CA (US);

Assignee:

ADOBE SYSTEMS INCORPORATED, San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G09G 5/00 (2006.01); G06T 11/60 (2006.01); G06T 3/00 (2006.01);
U.S. Cl.
CPC ...
G06T 11/60 (2013.01); G06T 3/0012 (2013.01); G06T 2207/20132 (2013.01);
Abstract

In techniques of combined composition and change-based models for image cropping, a composition application is implemented to apply one or more image composition modules of a learned composition model to evaluate multiple composition regions of an image. The learned composition model can determine one or more cropped images from the image based on the applied image composition modules, and evaluate a composition of the cropped images and a validity of change from the image to the cropped images. The image composition modules of the learned composition model include a salient regions module that iteratively determines salient image regions of the image, and include a foreground detection module that determines foreground regions of the image. The image composition modules also include one or more imaging models that reduce a number of the composition regions of the image to facilitate determining the cropped images from the image.


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