EXEMPLAR-BASED FEATURE WEIGHTING

Patent №

US 9,129,152

Granted

2015-09-08

Filed 2013

Owner

ADOBE SYSTEMS INCORPORATED

Lab

AI components

4

ml · vision · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14080010

In an example embodiment, for each of the image exemplars, a first location offset between an actual landmark location for a first landmark in the image exemplar and a predicted landmark location for the first landmark in the image exemplar is determined. Then, a probability that the image recognition process applied using the first feature produces an accurate identification of the first landmark in the image exemplars is determined based on the first location offsets for each of the image exemplars. A weight may then be assigned to the first feature based on the derived probability. An image recognition process may then be performed on an image, the image recognition process utilizing a voting process, for each of one or more features, for one or more landmarks in the plurality of image exemplars, the voting process for the first feature weighted according to the weight assigned to the first feature.

Machine learningVisionKnowledge representationPlanningG06V 40/169G06F 18/22G06V 40/168G06V 40/173G06V 10/48

AI classification

Vision1.00
Machine learning0.98
Planning0.78
Knowledge representation0.58
AI hardware0.49
Natural language0.40
Evolutionary computation0.11
Speech0.00

Ownership

ADOBE SYSTEMS INCORPORATED

assignment · 316020856

Assignors

BRANDT, JONATHAN, LIN, ZHE, SMITH, BRANDON M.

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

From the same owner

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