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Extract from the Register of European Patents

EP About this file: EP4128051

EP4128051 - CONTENT-ADAPTIVE ONLINE TRAINING FOR DNN-BASED CROSS COMPONENT PREDICTION WITH LOW-BIT PRECISION [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  06.01.2023
Database last updated on 19.10.2024
FormerThe international publication has been made
Status updated on  23.12.2022
Formerunknown
Status updated on  04.11.2022
Most recent event   Tooltip22.08.2024Change: Validation statespublished on 25.09.2024  [2024/39]
22.08.2024Change - extension statespublished on 25.09.2024  [2024/39]
Applicant(s)For all designated states
TENCENT AMERICA LLC
2747 Park Boulevard
Palo Alto, CA 94306 / US
[2023/06]
Inventor(s)01 / LIN, Sheng
Palo Alto, California 94306 / US
02 / JIANG, Wei
Palo Alto, California 94306 / US
03 / WANG, Wei
Palo Alto, California 94306 / US
04 / LIU, Shan
Palo Alto, California 94306 / US
05 / XU, Xiaozhong
Palo Alto, California 94306 / US
 [2023/06]
Representative(s)Gunzelmann, Rainer
Wuesthoff & Wuesthoff
Patentanwälte und Rechtsanwalt PartG mbB
Schweigerstraße 2
81541 München / DE
[N/P]
Former [2023/06]Gunzelmann, Rainer
Wuesthoff & Wuesthoff
Patentanwälte PartG mbB
Schweigerstraße 2
81541 München / DE
Application number, filing date22793623.431.05.2022
[2023/06]
WO2022US31508
Priority number, dateUS202163210751P15.06.2021         Original published format: US 202163210751 P
US20221782559126.05.2022         Original published format: US202217825591
[2023/06]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2022265849
Date:22.12.2022
Language:EN
[2022/51]
Type: A1 Application with search report 
No.:EP4128051
Date:08.02.2023
Language:EN
The application published by WIPO in one of the EPO official languages on 22.12.2022 takes the place of the publication of the European patent application.
[2023/06]
Search report(s)International search report - published on:US22.12.2022
(Supplementary) European search report - dispatched on:EP01.09.2023
ClassificationIPC:G06N3/02, G06N3/0455, G06N3/08, H04N19/105, H04N19/176, H04N19/186, H04N19/46, H04N19/50, G06N3/0464
[2023/40]
CPC:
H04N19/50 (EP); H04N19/593 (KR); H04N19/42 (US);
G06N3/0455 (EP); G06N3/0464 (EP,KR); G06N3/08 (EP,KR,US);
H04N19/105 (EP); H04N19/176 (EP); H04N19/186 (EP,KR,US);
H04N19/46 (EP) (-)
Former IPC [2023/06]G06N3/02
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 [2023/06]
TitleGerman:INHALTSADAPTIVES ONLINE-TRAINING FÜR DNN-BASIERTE KOMPONENTENÜBERGREIFENDE VORHERSAGE MIT PRÄZISION MIT NIEDRIGER BITZAHL[2023/06]
English:CONTENT-ADAPTIVE ONLINE TRAINING FOR DNN-BASED CROSS COMPONENT PREDICTION WITH LOW-BIT PRECISION[2023/06]
French:ENTRAÎNEMENT EN LIGNE ADAPTATIVE AU CONTENU POUR UNE PRÉDICTION INTER-COMPOSANTE À BASE DE DNN AVEC UNE PRÉCISION DE BIT FAIBLE[2023/06]
Entry into regional phase04.11.2022National basic fee paid 
04.11.2022Search fee paid 
04.11.2022Designation fee(s) paid 
04.11.2022Examination fee paid 
Examination procedure04.11.2022Examination requested  [2023/06]
08.03.2024Amendment by applicant (claims and/or description)
08.03.2024Date on which the examining division has become responsible
Fees paidRenewal fee
29.03.2024Renewal fee patent year 03
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Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Cited inInternational search[Y]US2016321784  (ANNAPUREDDY VENKATA SREEKANTA REDDY [US]) [Y] 4, 12* , entire document, especially Abstract; para [0074], [0081] *;
 [Y]US2017230656  (LEONTARIS ATHANASIOS [US], et al) [Y] 1-20 * , entire document, especially Abstract; para [0017], [0071], [0108], [0115], [0216] *;
 [Y]  - Blanch Marc Gorriz; Blasi Saverio; Smeaton Alan F.; O'Connor Noel E.; Mrak Marta, "Attention-Based Neural Networks for Chroma Intra Prediction in Video Coding", IEEE Journal of Selected Topics in Signal Processing, IEEE, US, US , (20201214), vol. 15, no. 2, doi:10.1109/JSTSP.2020.3044482, ISSN 1932-4553, pages 366 - 377, XP011839558 [Y] 1-20 * , entire document, especially Abstract; pg 3-7, 9-11 *

DOI:   http://dx.doi.org/10.1109/JSTSP.2020.3044482
by applicantUS2017230656
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.