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1. (WO2019009452) METHOD AND DEVICE FOR ENCODING OR DECODING IMAGE
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Pub. No.: WO/2019/009452 International Application No.: PCT/KR2017/007270
Publication Date: 10.01.2019 International Filing Date: 06.07.2017
IPC:
H04N 19/103 (2014.01) ,H04N 19/176 (2014.01) ,H04N 19/122 (2014.01) ,G06N 3/08 (2006.01)
[IPC code unknown for H04N 19/103][IPC code unknown for H04N 19/176][IPC code unknown for H04N 19/122]
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
08
Learning methods
Applicants:
삼성전자 주식회사 SAMSUNG ELECTRONICS CO., LTD. [KR/KR]; 경기도 수원시 영통구 삼성로 129 129, Samsung-ro, Yeongtong-gu, Suwon-si, Gyeonggi-do 16677, KR
Inventors:
이종석 LEE, Jong-seok; KR
김재환 KIM, Jae-hwan; KR
박영오 PARK, Young-o; KR
박정훈 PARK, Jeong-hoon; KR
전선영 JEON, Sun-young; KR
최광표 CHOI, Kwang-pyo; KR
Agent:
리앤목 특허법인 Y.P.LEE, MOCK & PARTNERS; 서울시 강남구 언주로30길 13 대림아크로텔 12층 12F Daelim Acrotel 13, Eonju-ro 30-gil, Gangnam-gu, Seoul 06292, KR
Priority Data:
Title (EN) METHOD AND DEVICE FOR ENCODING OR DECODING IMAGE
(FR) PROCÉDÉ ET DISPOSITIF DE CODAGE OU DE DÉCODAGE D'IMAGE
(KO) 영상을 부호화 또는 복호화하는 방법 및 장치
Abstract:
(EN) Disclosed is a prediction image generation technique using a deep neural network (DNN). A method for decoding an image, according to one disclosed embodiment, comprises the steps of: receiving a bitstream of an encoded image; determining one or more blocks segmented from the encoded image; generating prediction data by performing DNN-based prediction on a current block among the one or more blocks; extracting, from the bitstream, residual data of the current block; and reconstructing the current block using the prediction data and the residual data.
(FR) L'invention concerne une technique de génération d'image de prédiction utilisant un réseau neuronal profond (DNN). Un procédé de décodage d'une image, selon un mode de réalisation décrit, comprend les étapes consistant à : recevoir un flux binaire d'une image codée ; déterminer un ou plusieurs blocs segmentés à partir de l'image codée ; générer des données de prédiction par la réalisation d'une prédiction basée sur DNN sur un bloc courant parmi le ou les blocs ; extraire, à partir du flux binaire, des données résiduelles du bloc courant ; et reconstruire le bloc courant à l'aide des données de prédiction et des données résiduelles.
(KO) DNN을 이용한 예측 영상 생성 기술이 개시된다. 개시된 일 실시예에 따른 영상 복호화 방법은, 부호화된 영상의 비트스트림을 수신하는 단계, 상기 부호화된 영상으로부터 분할된 하나 이상의 블록을 결정하는 단계, 상기 하나 이상의 블록 중 현재 블록에 대해 DNN(Deep Neural Network)에 기반한 예측을 수행하여 예측 데이터를 생성하는 단계, 상기 비트스트림으로부터 상기 현재 블록의 레지듀얼 데이터를 추출하는 단계; 및 상기 예측 데이터와 상기 레지듀얼 데이터를 이용하여 상기 현재 블록을 복원하는 단계를 포함한다.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: Korean (KO)
Filing Language: Korean (KO)