METHOD AND APPARATUS FOR DYNAMIC PRINTER PERFORMANCE TUNING USING BAYESIAN ANALYSIS
Patent №
US 8,314,973
Granted
2012-11-20
Filed 2010
Owner
KONICA MINOLTA SYSTEMS LABORATORY, INC.
Lab
—
AI components
1
ml
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12791274
A method and a printing implementing the method for dynamic printer performance tuning. The method includes the steps of processing a page to be printed by a printer description language interpreter to generate a Display List, selecting tuning parameters from the Display List data, analyzing the tuning parameters by a Bayesian analyzer to obtain a score for each tuning parameter, and based on the score of each tuning parameter, adjusting rendering settings of the tuning parameters for printing the page. The steps of training the Bayesian analyzer includes creating a set of training pages, rendering each page to determine best performance settings for each tuning parameter, grouping the pages based on tuning parameter settings, generating Display List data of each page, rendering the training pages in each group to compile training data that are saved for future printing jobs.
AI classification
Ownership
KONICA MINOLTA SYSTEMS LABORATORY, INC.
assignment · 244700313
Assignors
HAYBER, KENNETH DAVID
On an employer assignment, the assignors are typically the inventors.