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Extract from the Register of European Patents

EP About this file: EP4070249

EP4070249 - REFERENCE OF NEURAL NETWORK MODEL FOR ADAPTATION OF 2D VIDEO FOR STREAMING TO HETEROGENEOUS CLIENT END-POINTS [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  09.09.2022
Database last updated on 02.09.2024
FormerThe international publication has been made
Status updated on  25.06.2022
Most recent event   Tooltip23.02.2024Change: Validation statespublished on 27.03.2024  [2024/13]
23.02.2024Change - extension statespublished on 27.03.2024  [2024/13]
Applicant(s)For all designated states
Tencent America LLC
2747 Park Boulevard
Palo Alto, California 94306 / US
[2022/41]
Inventor(s)01 / HINDS, Arianne
Palo Alto, California 94306 / US
02 / WENGER, Stephan
Palo Alto, California 94306 / US
 [2022/41]
Representative(s)EP&C
P.O. Box 3241
2280 GE Rijswijk / NL
[2022/41]
Application number, filing date21907367.301.09.2021
[2022/41]
WO2021US48644
Priority number, dateUS202063126188P16.12.2020         Original published format: US 202063126188 P
US20211740771120.08.2021         Original published format: US202117407711
[2022/41]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2022132249
Date:23.06.2022
Language:EN
[2022/25]
Type: A1 Application with search report 
No.:EP4070249
Date:12.10.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 23.06.2022 takes the place of the publication of the European patent application.
[2022/41]
Search report(s)International search report - published on:US23.06.2022
(Supplementary) European search report - dispatched on:EP28.02.2023
ClassificationIPC:G06N20/00, G06T15/10, G06T19/20, H04N13/10, H04N13/128, H04N21/234, H04N21/2343, H04N21/236, H04N21/84, H04N21/854, H04N21/845
[2023/13]
CPC:
H04N21/816 (EP,KR,US); H04N21/234336 (EP,KR); H04N21/2356 (US);
G06N3/045 (EP); G06N3/08 (EP,KR); G06N5/04 (KR);
H04N13/158 (KR); H04N13/161 (KR); H04N13/172 (KR);
H04N13/194 (KR); H04N19/597 (EP); H04N21/23412 (EP);
H04N21/23418 (EP); H04N21/2343 (EP); H04N21/23439 (KR);
H04N21/235 (EP); H04N21/23614 (EP,KR); H04N21/84 (EP);
H04N21/8456 (EP); H04N21/85406 (EP); G06N3/105 (EP) (-)
Former IPC [2022/41]G06N20/00, G06T15/10, G06T19/20, H04N13/10, H04N13/128
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 [2022/41]
TitleGerman:REFERENZ EINES NEURONALEN NETZWERKMODELLS FÜR DIE ANPASSUNG VON 2D-VIDEO FÜR DAS STREAMING ZU HETEROGENEN CLIENT-ENDPUNKTEN[2022/41]
English:REFERENCE OF NEURAL NETWORK MODEL FOR ADAPTATION OF 2D VIDEO FOR STREAMING TO HETEROGENEOUS CLIENT END-POINTS[2022/41]
French:RÉFÉRENCE DE MODÈLE DE RÉSEAU NEURONAL POUR L'ADAPTATION DE VIDÉO 2D POUR UNE DIFFUSION EN CONTINU VERS DES POINTS D'EXTRÉMITÉ CLIENTS HÉTÉROGÈNES[2022/41]
Entry into regional phase08.07.2022National basic fee paid 
08.07.2022Search fee paid 
08.07.2022Designation fee(s) paid 
08.07.2022Examination fee paid 
Examination procedure08.07.2022Examination requested  [2022/41]
12.09.2023Amendment by applicant (claims and/or description)
12.09.2023Date on which the examining division has become responsible
Fees paidRenewal fee
15.09.2023Renewal fee patent year 03
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Documents cited:Search[A]US2017085863  (LOPEZ ANTHONY [US], et al) [A] 1-15 * abstract * * paragraph [0003] * * paragraph [0007] * * paragraph [0027] * * paragraph [0084] * * paragraph [0094] * * paragraph [0099] - paragraph [0102] * * figures 19,22 *;
 [Y]US2019026958  (GAUSEBECK DAVID ALAN [US], et al) [Y] 1-15 * abstract * * paragraph [0002] - paragraph [0004] * * paragraph [0030] - paragraph [0033] * * paragraph [0036] * * paragraph [0062] - paragraph [0070] * * paragraph [0074] * * paragraph [0082] * * paragraph [0117] - paragraph [0118] * * paragraph [0127] * * paragraph [0161] - paragraph [0163] * * paragraph [0194] - paragraph [0196] * * paragraph [0215] - paragraph [0216] * * paragraph [0245] - paragraph [0248] * * paragraph [0254] - paragraph [0255] * * figures 1,6,10,30,34 *;
 [A]US2019114830  (BOUAZIZI IMED [US], et al) [A] 1-15 * abstract * * paragraph [0030] - paragraph [0031] * * paragraph [0064] - paragraph [0065] * * paragraph [0069] - paragraph [0076] * * paragraph [0093] - paragraph [0094] * * paragraph [0098] - paragraph [0108] * * paragraph [0123] - paragraph [0134] * * figures 6,9 *;
 [A]US2020134911  (VAN HOFF ARTHUR [US], et al) [A] 1-15 * abstract * * paragraph [0015] - paragraph [0021] * * paragraph [0027] - paragraph [0029] * * paragraph [0038] - paragraph [0043] * * paragraph [0045] - paragraph [0047] * * paragraph [0056] * * paragraph [0063] * * paragraph [0073] * * paragraph [0093] - paragraph [0095] * * paragraph [0101] * * paragraph [0104] * * figures 3,7,12 *;
 [Y]US2020304836  (LI YIMING [CN], et al) [Y] 1-15 * abstract * * paragraph [0004] * * paragraph [0017] * * paragraph [0027] - paragraph [0030] * * paragraph [0042] - paragraph [0050] * * figure 3 *;
 [A]  - HAN XIAN-FENG ET AL, "Image-Based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE COMPUTER SOCIETY, USA, vol. 43, no. 5, doi:10.1109/TPAMI.2019.2954885, ISSN 0162-8828, (20191121), pages 1578 - 1604, (20210401), XP011846638 [A] 1-15 * abstract * * page 1578, column 1 - page 1580, column 2 * * page 1581, column 2 * * page 1582, column 2 * * page 1584, column 2 - page 1585, column 1 * * page 1587, column 2 - page 1589, column 1 * * page 1592, column 2 - page 1593, column 2 * * page 1596, column 1 - column 2 * * page 1598, column 2 - page 1600, column 1 * * figures 4,5 *

DOI:   http://dx.doi.org/10.1109/TPAMI.2019.2954885
 [A]  - Kyungmo Park ET AL, "Use cases and requirements for NBMP (v4)", ISO/IEC JTC1/SC29/WG11 MPEG2018/N17502, (20180421), URL: https://mpeg.chiariglione.org/standards/mpeg-i/network-based-media-processing/use-cases-and-requirements-nbmp-v4, (20201019), XP055741267 [A] 1-15 * page 1 * * page 5 - page 8 * * page 10 - page 11 * * page 16 - page 18 * * page 23 - page 25 * * figures 4,7,20 *
 [A]  - WENHAN ZHANG ET AL, "[VCM] SEI Message for CDVA Deep Feature Descriptor", no. m53429, (20200417), 130. MPEG MEETING; 20200420 - 20200424; ALPBACH; (MOTION PICTURE EXPERT GROUP OR ISO/IEC JTC1/SC29/WG11),, URL: http://phenix.int-evry.fr/mpeg/doc_end_user/documents/130_Alpbach/wg11/m53429-v2-m53429_SEI_CDVA_deep_feature_descriptor.zip m53429_SEI_CDVA_deep_feature_descriptor.docx, (20200417), XP030286937 [A] 1-15 * abstract * * page 1 - page 2 *
International search[A]US2016371876  (MCCOMBE JAMES A [US], et al) [A] 1-7, 8A, 8B, 9-15, 17-20 * entire document *;
 [XY]US2019026956  (GAUSEBECK DAVID ALAN [US], et al) [X] 1-4, 8A, 8B, 9-12, 17-19 * entire document * [Y] 5-7, 13-15, 20;
 [A]US2019141340  (REDDIAR PALANIVEL GURUVA [US], et al) [A] 1-7, 8A, 8B, 9-15, 17-20* entire document *;
 [A]WO2019199637  (ALCACRUZ INC [US]) [A] 1-7, 8A, 8B, 9-15, 17-20 * entire document *;
 [Y]WO2020055279  (HUAWEI TECH CO LTD [CN], et al) [Y] 5-7, 13-15, 20 * entire document *
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.