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Extract from the Register of European Patents

EP About this file: EP3701436

EP3701436 - DEEP REINFORCEMENT LEARNING FRAMEWORK FOR CHARACTERIZING VIDEO CONTENT [Right-click to bookmark this link]
StatusExamination is in progress
Status updated on  01.12.2023
Database last updated on 15.06.2024
FormerRequest for examination was made
Status updated on  31.07.2020
FormerThe international publication has been made
Status updated on  04.05.2019
Most recent event   Tooltip27.03.2024New entry: Reply to examination report 
Applicant(s)For all designated states
Sony Interactive Entertainment Inc.
1-7-1 Konan
Minato-ku
Tokyo 108-0075 / JP
[2020/36]
Inventor(s)01 / CHEN, Ruxin
c/o Sony Interactive Entertainment LLC
2207 Bridgepointe Parkway
San Mateo California 94404 / US
02 / KUMAR, Naveen
c/o Sony Interactive Entertainment LLC
2207 Bridgepointe Parkway
San Mateo California 94404 / US
03 / LI, Haoqi
c/o Sony Interactive Entertainment LLC
2207 Bridgepointe Parkway
San Mateo California 94404 / US
 [2020/36]
Representative(s)D Young & Co LLP
3 Noble Street
London EC2V 7BQ / GB
[N/P]
Former [2020/36]D Young & Co LLP
120 Holborn
London EC1N 2DY / GB
Application number, filing date18871311.925.10.2018
[2020/36]
WO2018US57573
Priority number, dateUS201762577970P27.10.2017         Original published format: US 201762577970 P
[2020/36]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2019084308
Date:02.05.2019
Language:EN
[2019/18]
Type: A1 Application with search report 
No.:EP3701436
Date:02.09.2020
Language:EN
The application published by WIPO in one of the EPO official languages on 02.05.2019 takes the place of the publication of the European patent application.
[2020/36]
Search report(s)International search report - published on:US02.05.2019
(Supplementary) European search report - dispatched on:EP16.11.2020
ClassificationIPC:G06N3/08, // G06N3/04
[2020/51]
CPC:
G06N3/08 (EP,US); G06F18/217 (US); G06N20/00 (US);
G06N3/006 (EP,US); G06V20/41 (US); G06V40/161 (US);
G06N3/045 (EP); G06V40/174 (US) (-)
Former IPC [2020/36]G06N3/08
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 [2020/36]
TitleGerman:TIEFENVERSTÄRKUNGSLERNRAHMEN ZUR CHARAKTERISIERUNG VON VIDEOINHALTEN[2020/36]
English:DEEP REINFORCEMENT LEARNING FRAMEWORK FOR CHARACTERIZING VIDEO CONTENT[2020/36]
French:CADRE D'APPRENTISSAGE DE RENFORCEMENT PROFOND PERMETTANT DE CARACTÉRISER UN CONTENU VIDÉO[2020/36]
Entry into regional phase14.04.2020National basic fee paid 
14.04.2020Search fee paid 
14.04.2020Designation fee(s) paid 
14.04.2020Examination fee paid 
Examination procedure14.04.2020Examination requested  [2020/36]
28.05.2021Amendment by applicant (claims and/or description)
05.12.2023Despatch of a communication from the examining division (Time limit: M04)
26.03.2024Reply to a communication from the examining division
Fees paidRenewal fee
27.10.2020Renewal fee patent year 03
27.10.2021Renewal fee patent year 04
27.10.2022Renewal fee patent year 05
27.10.2023Renewal fee patent year 06
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Documents cited:Search[XI]  - Goren Gordon ET AL, "Affective Personalization of a Social Robot Tutor for Children's Second Language Skills", AAAI'16: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, (20160212), URL: https://jakory.com/static/papers/Gordon_AAAI2016_SAR.pdf, (20201105), XP055747275 [X] 1,5-7,9,13-15 * abstract * * page 2 - page 6; figures 1, 4 * [I] 2-4,8,10-12
 [A]  - RAO YONGMING ET AL, "Attention-Aware Deep Reinforcement Learning for Video Face Recognition", 2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), IEEE, (20171022), doi:10.1109/ICCV.2017.424, pages 3951 - 3960, XP033283267 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1109/ICCV.2017.424
 [A]  - Pooya Rezvani Khorrami, "HOW DEEP LEARNING CAN HELP EMOTION RECOGNITION", Ph.D. DISSERTATION, Urbana, Illinois, (20170329), URL: https://www.ideals.illinois.edu/bitstream/handle/2142/97284/KHORRAMI-DISSERTATION-2017.pdf?sequence=1&isAllowed=y, (20201105), XP055747261 [A] 1-15 * the whole document *
International search[Y]US2014108309  (FRANK ARI M [IL], et al) [Y] 1-24* entire document (especially para [0216], [0307]-[0308], [0314]-[0316], [0363]). *;
 [Y]US2017178346  (FERRO MICHAEL W [US], et al) [Y] 1-24 * entire document (especially para [0029]-[0030], [0034]) *
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.