FEATURE DENSITY OBJECT CLASSIFICATION, SYSTEMS AND METHODS

Patent №

US 10,102,446

Granted

2018-10-16

Filed 2017

Owner

NANT VISION, INC.

+2 more

Lab

AI components

4

ml · nlp · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15656975

A system capable of determining which recognition algorithms should be applied to regions of interest within digital representations is presented. A preprocessing module utilizes one or more feature identification algorithms to determine regions of interest based on feature density. The preprocessing modules leverages the feature density signature for each region to determine which of a plurality of diverse recognition modules should operate on the region of interest. A specific embodiment that focuses on structured documents is also presented. Further, the disclosed approach can be enhanced by addition of an object classifier that classifies types of objects found in the regions of interest.

Machine learningNatural languageVisionAI hardwareG06V 20/63G06F 18/23G06T 7/11G06T 7/50G06V 10/42G06V 10/462G06T 2210/41G06V 10/467

AI classification

Vision1.00
Machine learning1.00
Natural language1.00
AI hardware0.94
Knowledge representation0.00
Speech0.00
Planning0.00
Evolutionary computation0.00

Ownership

NANT VISION, INC.

assignment · 430700154

NANTWORKS, LLC

assignment · 430700179

NANT HOLDINGS IP, LLC

assignment · 430700192

Assignors

JABER, MUSTAFA

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

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