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Extract from the Register of European Patents

EP About this file: EP3663975

EP3663975 - METHOD AND SYSTEM FOR LEARNING PIXEL VISUAL CONTEXT FROM OBJECT CHARACTERISTICS TO GENERATE RICH SEMANTIC IMAGES [Right-click to bookmark this link]
StatusGrant of patent is intended
Status updated on  27.03.2024
Database last updated on 23.04.2024
FormerExamination is in progress
Status updated on  23.09.2022
FormerRequest for examination was made
Status updated on  27.11.2020
FormerThe application has been published
Status updated on  08.05.2020
Most recent event   Tooltip27.03.2024New entry: Communication of intention to grant a patent 
Applicant(s)For all designated states
AstraZeneca Computational Pathology GmbH
Bernhard-Wicki-Str. 5
80636 München / DE
[2021/51]
Former [2020/24]For all designated states
Definiens GmbH
Bernhard-Wicki-Str. 5
80636 München / DE
Inventor(s)01 / PAULY, Olivier
Hieronimusstr. 22
81241 München / DE
02 / BRIEU, Nicolas
Auenstrasse 112
80649 München / DE
03 / SCHMIDT, Günter
Behringstraße 93
80999 München / DE
04 / ZIMMERMANN, Johannes
Forststraße 38
82069 Hohenschäftlarn / DE
05 / BINNIG, Gerd
Villenstraße Süd 28
82288 Kottgeisering / DE
 [2020/24]
Representative(s)AstraZeneca Intellectual Property
Eastbrook House
Shaftesbury Road
Cambridge CB2 8BF / GB
[N/P]
Former [2020/24]Winter, Brandl, Fürniss, Hübner, Röss, Kaiser, Polte - Partnerschaft mbB
Patent- und Rechtsanwaltskanzlei
Alois-Steinecker-Strasse 22
85354 Freising / DE
Application number, filing date19213622.429.07.2015
[2020/24]
Priority number, dateUS20141447309629.08.2014         Original published format: US201414473096
[2020/24]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP3663975
Date:10.06.2020
Language:EN
[2020/24]
Search report(s)(Supplementary) European search report - dispatched on:EP12.05.2020
ClassificationIPC:G06V20/69, G06V10/25, G06V10/56, G06V10/764, G06V10/772, G06V10/46, G06F18/243
[2024/16]
CPC:
G06V20/695 (EP,US); G06F18/24323 (EP,US); G06T7/0012 (US);
G06T7/162 (US); G06V10/25 (EP,US); G06V10/462 (EP,US);
G06V10/56 (EP,US); G06V10/764 (EP,US); G06V10/772 (EP,US);
G06V20/698 (EP,US); G06V10/454 (EP,US); G06V10/50 (EP,US) (-)
Former IPC [2020/24]G06K9/00, G06K9/46, G06K9/32, // G06K9/62
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2021/01]
Former [2020/24]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
TitleGerman:VERFAHREN UND SYSTEM ZUM LERNEN VON VISUELLEM PIXELKONTEXT AUS OBJEKTEIGENSCHAFTEN ZUR ERZEUGUNG REICHER SEMANTISCHER BILDER[2020/24]
English:METHOD AND SYSTEM FOR LEARNING PIXEL VISUAL CONTEXT FROM OBJECT CHARACTERISTICS TO GENERATE RICH SEMANTIC IMAGES[2020/24]
French:PROCÉDÉ ET SYSTÈME D'APPRENTISSAGE DE CONTEXTE VISUEL DE PIXELS À PARTIR DES CARACTÉRISTIQUES D'UN OBJET POUR GÉNÉRER DES IMAGES SÉMANTIQUES RICHES[2020/24]
Examination procedure19.11.2020Amendment by applicant (claims and/or description)
19.11.2020Examination requested  [2020/53]
19.11.2020Date on which the examining division has become responsible
22.09.2022Despatch of a communication from the examining division (Time limit: M06)
20.03.2023Reply to a communication from the examining division
28.03.2024Communication of intention to grant the patent
Parent application(s)   TooltipEP15178864.3  / EP3023910
Fees paidRenewal fee
04.12.2019Renewal fee patent year 03
04.12.2019Renewal fee patent year 04
04.12.2019Renewal fee patent year 05
10.07.2020Renewal fee patent year 06
06.07.2021Renewal fee patent year 07
07.07.2022Renewal fee patent year 08
31.07.2023Renewal fee patent year 09
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Documents cited:Search[A]US2008008349  (BINNIG GERD [DE], et al) [A] 1-4 * abstract * * paragraphs [0007] - [0014] - [0 50] - [0051] - [0 56] - [0059] - [0 61] , [0 67] , [0 79] *;
 [Y]US2014140610  (TU ZHUOWEN [CN], et al) [Y] 1-4 * abstract * * paragraphs [0013] - [0025] - [0 33] - [0039] *;
 [Y]  - GLOCKER BEN ET AL, "Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation", 12TH EUROPEAN CONFERENCE ON COMPUTER VISION, ECCV 2012; [LECTURE NOTES IN COMPUTER SCIENCE], PAGE(S) 870 - 881, (20121007), ISSN 0302-9743, ISBN 978-3-540-37783-2, XP047531221 [Y] 1-4 * abstract * * section 2 * * section 3 * * figures 1-2 *

DOI:   http://dx.doi.org/10.1007/978-3-642-33765-9_62
 [A]  - NILS WOLF, "Object Features for Pixel-based Classification of Urban Areas Comparing Different Machine Learning Algorithms", PHOTOGRAMMETRIE, FERNERKUNDUNG, GEOINFORMATION, (20130601), vol. 2013, no. 3, doi:10.1127/1432-8364/2013/0166, ISSN 1432-8364, pages 149 - 161, XP055690543 [A] 1-4 * abstract * * page 150, column right, paragraph 2 * * section 2 *

DOI:   http://dx.doi.org/10.1127/1432-8364/2013/0166
 [A]  - HAVAEI MOHAMMAD ET AL, "Efficient Interactive Brain Tumor Segmentation as Within-Brain kNN Classification", INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, IEEE COMPUTER SOCIETY, US, (20140824), doi:10.1109/ICPR.2014.106, ISSN 1051-4651, pages 556 - 561, XP032698227 [A] 1-4 * abstract * * page 556, column right, paragraph 2 * * sections III-A and III-B * * page 560 *

DOI:   http://dx.doi.org/10.1109/ICPR.2014.106
 [A]  - BHATTACHARYA A ET AL, "ViVo: Visual Vocabulary Construction for Mining Biomedical Images", FIFTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, HOUSTON, TX, USA 27-30 NOV. 2005, PISCATAWAY, NJ, USA,IEEE, (20051127), doi:10.1109/ICDM.2005.151, ISBN 978-0-7695-2278-4, pages 50 - 57, XP010870428 [A] 1-4 * abstract * * page 1, last paragraph * * section 3 * * section 6 *

DOI:   http://dx.doi.org/10.1109/ICDM.2005.151
 [A]  - K FUKUDA ET AL, "Data mining and image segmentation approaches for classifying defoliation in aerial forest imagery", IN PROCEEDINGS OF THE 3RD INTERNATIONAL CONGRESS ON ENVIRONMENTAL MODELLING AND SOFTWARE, BURLINGTON, VERMONT, USA, (20060709), XP055690541 [A] 1-4 * abstract * * section 3 *
 [A]  - DAVID LIU ET AL, "DISCOV: A Framework for Discovering Objects in Video", IEEE TRANSACTIONS ON MULTIMEDIA, IEEE SERVICE CENTER, PISCATAWAY, NJ, US, (20080201), vol. 10, no. 2, doi:10.1109/TMM.2007.911781, ISSN 1520-9210, pages 200 - 208, XP011200209 [A] 3 * section III.A, paragraph 2 *

DOI:   http://dx.doi.org/10.1109/TMM.2007.911781
by applicantUS8319793
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