Using machine learning to define user controls for photo adjustments

Patent metadata

Field	Value
Publication number	US-9195909-B2
Application number	US-201314034194-A
Country	US
Kind code	B2
Filing date	Sep 23, 2013
Priority date	Sep 23, 2013
Publication date	Nov 24, 2015
Grant date	Nov 24, 2015

Abstract

In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.

First claim

What is claimed is:

1. A method comprising:
receiving a new image to be adjusted;
applying a weight to each reference image of a reference dataset based on a comparison of content of the new image to reference images of a reference dataset;
generating, using a hardware processor, a plurality of basis styles by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image, each of the plurality of basis styles comprising a v…

Assignees

• Adobe Systems Inc

Inventors

• Paris Sylvain
• Gupta Mohit
• Angara Srinivasa Madhava Phaneendra
• Grandhi Durga Ganesh

Classifications

• G06V10/945

  Physics · mapped topic

• G06F18/40

  Physics · mapped topic

• G06N20/00 Primary

  Physics · mapped topic

• G06T2207/10004

  Physics · mapped topic

• G06F15/18

  Physics · mapped topic