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1. (WO2019028472) MACHINE LEARNING BASED IMAGE PROCESSING TECHNIQUES
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Pub. No.: WO/2019/028472 International Application No.: PCT/US2018/045423
Publication Date: 07.02.2019 International Filing Date: 06.08.2018
IPC:
G06F 15/18 (2006.01) ,G06K 9/46 (2006.01) ,G06K 9/62 (2006.01) ,G06K 9/66 (2006.01) ,G06T 7/246 (2017.01) ,G06T 7/60 (2017.01) ,H04N 1/387 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
15
Digital computers in general; Data processing equipment in general
18
in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines
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
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
62
Methods or arrangements for recognition using electronic means
64
using simultaneous comparisons or correlations of the image signals with a plurality of references, e.g. resistor matrix
66
references adjustable by an adaptive method, e.g. learning
[IPC code unknown for G06T 7/246]
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
T
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7
Image analysis, e.g. from bit-mapped to non bit-mapped
60
Analysis of geometric attributes, e.g. area, centre of gravity, perimeter, from an image
H ELECTRICITY
04
ELECTRIC COMMUNICATION TECHNIQUE
N
PICTORIAL COMMUNICATION, e.g. TELEVISION
1
Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
387
Composing, repositioning or otherwise modifying originals
Applicants:
OUTWARD, INC. [US/US]; 1980 Zanker Road, Suite 20 San Jose, CA 95112, US
Inventors:
CHUI, Clarence; US
PARMAR, Manu; US
Agent:
PUGALIA, Amita; US
Priority Data:
62/541,60304.08.2017US
Title (EN) MACHINE LEARNING BASED IMAGE PROCESSING TECHNIQUES
(FR) TECHNIQUES DE TRAITEMENT D'IMAGES SUR LA BASE D'UN APPRENTISSAGE MACHINE
Abstract:
(EN) A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.
(FR) La présente invention concerne une architecture de traitement d'images sur la base d'un apprentissage machine et des applications associées. Dans certains modes de réalisation, un environnement d'apprentissage machine est formé pour apprendre des attributs d'images de bas niveau, tels que des types d'objets/de scènes, des géométries, des placements, des matériaux et des textures, des caractéristiques de caméra, des caractéristiques d'éclairage, un contraste, des statistiques de bruit, etc. Puis l'environnement d'apprentissage machine peut servir à détecter de tels attributs dans d'autres images et à traiter les images au niveau des attributs.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)