EP3811619A4 - Appareil de codage d'ia et son procédé de fonctionnement, et appareil de décodage d'ia et son procédé de fonctionnement - Google Patents
Appareil de codage d'ia et son procédé de fonctionnement, et appareil de décodage d'ia et son procédé de fonctionnement Download PDFInfo
- Publication number
- EP3811619A4 EP3811619A4 EP19874036.7A EP19874036A EP3811619A4 EP 3811619 A4 EP3811619 A4 EP 3811619A4 EP 19874036 A EP19874036 A EP 19874036A EP 3811619 A4 EP3811619 A4 EP 3811619A4
- Authority
- EP
- European Patent Office
- Prior art keywords
- same
- operation method
- decoding apparatus
- encoding apparatus
- encoding
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
- G06T3/4046—Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/132—Sampling, masking or truncation of coding units, e.g. adaptive resampling, frame skipping, frame interpolation or high-frequency transform coefficient masking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/60—Memory management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T9/00—Image coding
- G06T9/002—Image coding using neural networks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/184—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being bits, e.g. of the compressed video stream
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/42—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation
- H04N19/423—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation characterised by memory arrangements
- H04N19/426—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by implementation details or hardware specially adapted for video compression or decompression, e.g. dedicated software implementation characterised by memory arrangements using memory downsizing methods
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/59—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial sub-sampling or interpolation, e.g. alteration of picture size or resolution
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Multimedia (AREA)
- Artificial Intelligence (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Software Systems (AREA)
- General Health & Medical Sciences (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Neurology (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
- Image Processing (AREA)
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
KR20180125406 | 2018-10-19 | ||
KR20180148905 | 2018-11-27 | ||
KR20190041100 | 2019-04-08 | ||
KR1020190078344A KR102312338B1 (ko) | 2018-10-19 | 2019-06-28 | Ai 부호화 장치 및 그 동작방법, 및 ai 복호화 장치 및 그 동작방법 |
PCT/KR2019/013595 WO2020080827A1 (fr) | 2018-10-19 | 2019-10-16 | Appareil de codage d'ia et son procédé de fonctionnement, et appareil de décodage d'ia et son procédé de fonctionnement |
Publications (2)
Publication Number | Publication Date |
---|---|
EP3811619A1 EP3811619A1 (fr) | 2021-04-28 |
EP3811619A4 true EP3811619A4 (fr) | 2021-08-18 |
Family
ID=70466765
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP19874036.7A Pending EP3811619A4 (fr) | 2018-10-19 | 2019-10-16 | Appareil de codage d'ia et son procédé de fonctionnement, et appareil de décodage d'ia et son procédé de fonctionnement |
Country Status (3)
Country | Link |
---|---|
EP (1) | EP3811619A4 (fr) |
KR (1) | KR102312338B1 (fr) |
CN (1) | CN112715029A (fr) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102554709B1 (ko) * | 2020-10-06 | 2023-07-13 | 한국전자통신연구원 | 특징 맵 부호화 및 복호화 장치 및 이를 이용한 방법 |
KR20230172914A (ko) * | 2022-06-16 | 2023-12-26 | 주식회사 유엑스팩토리 | 이미지 분석을 위한 파생 이미지를 생성하기 위한 방법, 시스템 및 비일시성의 컴퓨터 판독 가능한 기록 매체 |
Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018140294A1 (fr) * | 2017-01-25 | 2018-08-02 | Microsoft Technology Licensing, Llc | Réseau neuronal basé sur des opérations à virgule fixe |
-
2019
- 2019-06-28 KR KR1020190078344A patent/KR102312338B1/ko active IP Right Grant
- 2019-10-16 EP EP19874036.7A patent/EP3811619A4/fr active Pending
- 2019-10-16 CN CN201980060231.2A patent/CN112715029A/zh active Pending
Patent Citations (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018140294A1 (fr) * | 2017-01-25 | 2018-08-02 | Microsoft Technology Licensing, Llc | Réseau neuronal basé sur des opérations à virgule fixe |
Non-Patent Citations (6)
Title |
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ANONYMOUS ET AL: "Machine learning: Why do we need floats for using neural networks? -Artificial Intelligence Stack Exchange", AI.STACKEXCHANGE.COM, 16 August 2018 (2018-08-16), pages 1 - 8, XP055822829, Retrieved from the Internet <URL:https://ai.stackexchange.com/questions/7247/why-do-we-need-floats-for-using-neural-networks> [retrieved on 20210709] * |
LI YUE ET AL: "Learning a Convolutional Neural Network for Image Compact-Resolution", IEEE TRANSACTIONS ON IMAGE PROCESSING, IEE SERVICE CENTER , PISCATAWAY , NJ, US, vol. 28, no. 3, 28 September 2018 (2018-09-28), pages 1092 - 1107, XP011703593, ISSN: 1057-7149, [retrieved on 20181025], DOI: 10.1109/TIP.2018.2872876 * |
LUCAS THEIS ET AL: "Lossy Image Compression with Compressive Autoencoders", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 1 March 2017 (2017-03-01), XP080753545 * |
See also references of WO2020080827A1 * |
SUYOG GUPTA ET AL: "Deep Learning with Limited Numerical Precision", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 9 February 2015 (2015-02-09), XP080677454 * |
TAO WEN ET AL: "An End-to-End Compression Framework Based on Convolutional Neural Networks", 2017 DATA COMPRESSION CONFERENCE (DCC), IEEE, 4 April 2017 (2017-04-04), pages 463, XP033095376, DOI: 10.1109/DCC.2017.54 * |
Also Published As
Publication number | Publication date |
---|---|
CN112715029A (zh) | 2021-04-27 |
KR102312338B1 (ko) | 2021-10-14 |
EP3811619A1 (fr) | 2021-04-28 |
KR20200044668A (ko) | 2020-04-29 |
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RIC1 | Information provided on ipc code assigned before grant |
Ipc: H04N 19/132 20140101AFI20210714BHEP Ipc: H04N 19/85 20140101ALI20210714BHEP Ipc: H04N 19/50 20140101ALI20210714BHEP Ipc: H04N 19/184 20140101ALI20210714BHEP Ipc: G06N 3/08 20060101ALI20210714BHEP Ipc: G06T 1/20 20060101ALI20210714BHEP Ipc: G06T 1/60 20060101ALI20210714BHEP |
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