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EP4342178
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EP About this file: EP4342178
| EP4342178 - IMPLICIT IMAGE AND VIDEO COMPRESSION USING MACHINE LEARNING SYSTEMS [Right-click to bookmark this link] | Status | Request for examination was made Status updated on 23.02.2024 Database last updated on 31.08.2024 | |
| Former | The international publication has been made Status updated on 26.11.2022 | ||
| Former | unknown Status updated on 09.05.2022 | Most recent event Tooltip | 26.07.2024 | Change: Validation states | published on 28.08.2024 [2024/35] | 26.07.2024 | Change - extension states | published on 28.08.2024 [2024/35] | Applicant(s) | For all designated states QUALCOMM INCORPORATED ATTN: International IP Administration 5775 Morehouse Drive San Diego, California 92121-1714 / US | [2024/13] | Inventor(s) | 01 /
ZHANG, Yunfan San Diego, California 92121 / US | 02 /
VAN ROZENDAAL, Ties Jehan San Diego, California 92121 / US | 03 /
COHEN, Taco Sebastiaan San Diego, California 92121 / US | 04 /
NAGEL, Markus San Diego, California 92121 / US | 05 /
BREHMER, Johann Hinrich San Diego, California 92121 / US | [2024/13] | Representative(s) | Pritzlaff, Stefanie Lydia Wagner & Geyer Partnerschaft mbB Patent- und Rechtsanwälte Gewürzmühlstraße 5 80538 München / DE | [2024/13] | Application number, filing date | 22719679.7 | 31.03.2022 | [2024/13] | WO2022US22881 | Priority number, date | US202163191606P | 21.05.2021 Original published format: US 202163191606 P | US202117645018 | 17.12.2021 Original published format: US202117645018 | [2024/13] | Filing language | EN | Procedural language | EN | Publication | Type: | A1 Application with search report | No.: | WO2022245434 | Date: | 24.11.2022 | Language: | EN | [2022/47] | Type: | A1 Application with search report | No.: | EP4342178 | Date: | 27.03.2024 | Language: | EN | The application published by WIPO in one of the EPO official languages on 24.11.2022 takes the place of the publication of the European patent application. | [2024/13] | Search report(s) | International search report - published on: | EP | 24.11.2022 | Classification | IPC: | H04N19/103, H04N19/124, H04N19/146, H04N19/537, H04N19/172, G06N3/02, H04N19/463, G06N3/04 | [2024/13] | CPC: |
H04N19/124 (EP,KR);
H04N19/51 (KR);
H04N19/126 (US);
G06N3/045 (EP,KR,US);
G06N3/0464 (KR);
G06N3/08 (US);
G06N3/084 (EP);
G06T9/002 (US);
H04N19/103 (EP);
H04N19/146 (EP);
H04N19/147 (KR,US);
H04N19/172 (EP,KR);
H04N19/463 (EP);
H04N19/537 (EP);
H04N19/91 (KR,US);
H04N19/177 (EP)
(-)
| Designated contracting states | 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 [2024/13] | Title | German: | IMPLIZITE BILD- UND VIDEOKOMPRIMIERUNG UNTER VERWENDUNG VON MASCHINENLERNSYSTEMEN | [2024/13] | English: | IMPLICIT IMAGE AND VIDEO COMPRESSION USING MACHINE LEARNING SYSTEMS | [2024/13] | French: | COMPRESSION D'IMAGE ET DE VIDÉO IMPLICITE À L'AIDE DE SYSTÈMES D'APPRENTISSAGE AUTOMATIQUE | [2024/13] | Entry into regional phase | 20.09.2023 | National basic fee paid | 20.09.2023 | Designation fee(s) paid | 20.09.2023 | Examination fee paid | Examination procedure | 20.09.2023 | Examination requested [2024/13] | 20.09.2023 | Date on which the examining division has become responsible | 05.07.2024 | Amendment by applicant (claims and/or description) | Fees paid | Renewal fee | 10.01.2024 | Renewal 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. | Cited in | International search | [A]US2018139458 (WANG ZEHAN [GB], et al) [A] 1,5,6,16,20,21,31-33,38-40 * abstract * * paragraphs [0218] , [0222] , [0232] , [0236] - [0237] *; | [YA]US2018249158 (HUANG YU-WEN [TW], et al) [Y] 12-15,27-30 * abstract * * paragraphs [0012] - [0014] - [0 34] , [0 38] * [A] 1,16,31,38; | [IY]EP3451293 (THOMSON LICENSING [FR]) [I] 1-11,16-26,31-44 * abstract * * paragraphs [0047] , [0 52] - [0054] - [0 64] - [0065] * * figures 5-8 * [Y] 12-15,27-30; | [XPI]WO2022017848 (INTERDIGITAL VC HOLDINGS FRANCE SAS [FR]) [XP] 1,16,31,38 * the whole document *[I] 2-15,17-30,32-37,39-44; | [I] - "Working Draft 3 of Compression of Neural Networks for Multimedia Content Description and Analysis", no. n18992, (20200220), 129. MPEG MEETING; 20200113 - 20200117; BRUSSELS; (MOTION PICTURE EXPERT GROUP OR ISO/IEC JTC1/SC29/WG11),, URL: http://phenix.int-evry.fr/mpeg/doc_end_user/documents/129_Brussels/wg11/w18992.zip w18992_NN_compression_WD3.docx, (20200220), XP030285327 [I] 1,7,16,22,36-38,41-44 * section "2 Scope" * * section "6.2 Definition of general bitstream syntax elements" with subsections * * section "7.1 Methods" with subsections * | [A] - Darryl D Lin ET AL, "FIXED POINT QUANTIZATION OF DEEP CONVOLUTIONAL NETWORKS", (20160107), URL: https://arxiv.org/pdf/1511.06393v2.pdf, (20170816), XP055398862 [A] 1,10,11,16,25,26 * abstract * * section "1 Introduction" * * section "2 Related work" * | [A] - Siwei Ma ET AL, "Image and Video Compression With Neural Networks: A Review", (20190410), pages 1 - 16, URL: https://arxiv.org/pdf/1904.03567.pdf, (20210115), XP055765818 [A] 1-44 * the whole document * | [A] - SUN KAICONG ET AL, "An FPGA-Based Residual Recurrent Neural Network for Real-Time Video Super-Resolution", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, IEEE, USA, vol. 32, no. 4, doi:10.1109/TCSVT.2021.3080241, ISSN 1051-8215, (20210513), pages 1739 - 1750, (20210513), XP011905014 [A] 1,10,11,16,25,26 * abstract * * section "IV. Hardware Implementation", subsection "B. Implementation Details" * DOI: http://dx.doi.org/10.1109/TCSVT.2021.3080241 |