REPRESENTATIVE IMAGE SELECTION FOR IMAGE MANAGEMENT USING FACE RECOGNITION

Patent №

US 9,858,296

Granted

2018-01-02

Filed 2016

Owner

ADOBE SYSTEMS INCORPORATED

Lab

AI components

1

vision

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15086642

A technique for selecting a representative image from a group of digital images includes extracting data representing an image of a face of a person from each image in the group using a face recognition algorithm, determining a score for each image based on one or more quality parameters that are satisfied for the respective image, and selecting the image having the highest score as the representative image for the group. The quality parameters may be based on any quantifiable characteristics of the data. Each of these quality parameters may be uniquely weighted, so as to define the relative importance of one parameter with respect to another. The score for determining the representative image of the group may be obtained by adding together the weights corresponding to each quality parameter that is satisfied for a given image. Once selected, the representative image may be displayed in a graphical user interface.

VisionG06F 16/58G06F 16/51G06F 16/583G06F 16/5838G06F 18/28G06T 7/33G06V 10/772G06V 10/993+2 more

AI classification

Vision1.00
Knowledge representation0.22
Machine learning0.02
Planning0.01
AI hardware0.01
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

ADOBE SYSTEMS INCORPORATED

assignment · 381600463

Assignors

GUPTA, ANGAD KUMAR, SINGH, ALOK KUMAR, PURUMALA, RAM PRASAD

On an employer assignment, the assignors are typically the inventors.

From the same owner

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