Apple Inc.

Jeff Brasket

Todd Stephen Sachs

Justin S Titi

Marco Zuliani

Claus Molgaard

Elliott B Harris

Brett M Keating

Karl Hsu

Vincent Y Wong

Michael Rousson

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.

Automated selection of keeper images from a burst photo captured set

Growing community of inventors

San Francisco, CA, United States of America

Jeff Brasket