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:
Dec. 31, 2019

Filed:

Sep. 15, 2016
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Brett Keating, San Jose, CA (US);

Vincent Wong, Santa Clara, CA (US);

Todd Sachs, Palo Alto, CA (US);

Claus Molgaard, Los Gatos, CA (US);

Michael Rousson, Palo Alto, CA (US);

Elliott Harris, San Francisco, CA (US);

Justin Titi, Morgan Hill, CA (US);

Karl Hsu, Cupertino, CA (US);

Jeff Brasket, San Francisco, CA (US);

Marco Zuliani, Los Gatos, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 5/77 (2006.01); G06K 9/00 (2006.01); H04N 21/845 (2011.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); H04N 5/232 (2006.01); H04N 5/14 (2006.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
H04N 5/77 (2013.01); G06K 9/00765 (2013.01); G06K 9/46 (2013.01); G06K 9/6201 (2013.01); G06K 9/6267 (2013.01); G06T 7/11 (2017.01); H04N 5/147 (2013.01); H04N 5/23222 (2013.01); H04N 5/23293 (2013.01); H04N 21/8456 (2013.01); G06K 2009/4666 (2013.01); H04N 5/23219 (2013.01); H04N 5/23229 (2013.01);
Abstract

Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or 'other.' Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the 'other' category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected.


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