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1. (US20190065904) IMAGE DATA PRE-PROCESSING

Office : United States of America
Application Number: 16070537 Application Date: 25.01.2017
Publication Number: 20190065904 Publication Date: 28.02.2019
Publication Kind : A1
Prior PCT appl.: Application Number:PCTEP2017051449 ; Publication Number: Click to see the data
IPC:
G06K 9/62
G06K 9/46
G16H 30/20
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
36
Image preprocessing, i.e. processing the image information without deciding about the identity of the image
46
Extraction of features or characteristics of the image
[IPC code unknown for G16H 30/20]
CPC:
G06K 9/4604
G06K 9/6262
G16H 30/20
Applicants: KONINKLIJKE PHILIPS N.V.
Inventors: ERAN RUBENS
BELLA FADIDA-SPECKTOR
ELIAHU ZINO
MENACHEM MELAMED
ERAN MEIR
NETANEL WEINBERG
MARIA KAPLINSKY
Priority Data: 16152566.2 25.01.2016 EP
16200412.1 24.11.2016 EP
Title: (EN) IMAGE DATA PRE-PROCESSING
Abstract: front page image
(EN)

A computer-implemented method (40) of reducing processing time of an application for visualizing image data, the application being one of a plurality of applications selectable by a user and each of the plurality of applications comprising a pre-processing algorithm for pre-processing the image data. The method comprises predicting which one of the pre-processing algorithms is to be performed in response to a selection of an application by the user by: —extracting a feature vector from the image data, metadata, and/or additional data associated with the image data, —supplying the feature vector as input to a machine learned model, and —receiving an algorithm identifier as output from the machine learned model, the algorithm identifier identifying the pre-processing algorithm, the method further comprising: —using the algorithm identifier to select (42) the pre-processing algorithm, thereby obtaining a selected pre-processing algorithm, and —pre-processing (43) the image data using the selected pre-processing algorithm.


Also published as:
CN108496200EP3408826WO/2017/129573