KR20230007313A - 딥 러닝을 사용한 병렬화된 레이트-왜곡 최적화된 양자화 - Google Patents

딥 러닝을 사용한 병렬화된 레이트-왜곡 최적화된 양자화 Download PDF

Info

Publication number
KR20230007313A
KR20230007313A KR1020227032350A KR20227032350A KR20230007313A KR 20230007313 A KR20230007313 A KR 20230007313A KR 1020227032350 A KR1020227032350 A KR 1020227032350A KR 20227032350 A KR20227032350 A KR 20227032350A KR 20230007313 A KR20230007313 A KR 20230007313A
Authority
KR
South Korea
Prior art keywords
transform coefficient
block
coefficients
quantization
neural network
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
Application number
KR1020227032350A
Other languages
English (en)
Korean (ko)
Inventor
다나 키안파르
오케 조리스 위거스
아미르 사이드
타코 세바스티안 코헨
레자 푸르레자
Original Assignee
퀄컴 인코포레이티드
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 퀄컴 인코포레이티드 filed Critical 퀄컴 인코포레이티드
Publication of KR20230007313A publication Critical patent/KR20230007313A/ko
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • H04N19/124—Quantisation
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0464—Convolutional networks [CNN, ConvNet]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/09—Supervised learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/002—Image coding using neural networks
    • 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
    • H04N19/117—Filters, e.g. for pre-processing or post-processing
    • 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
    • H04N19/13—Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
    • 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
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/146—Data rate or code amount at the encoder output
    • H04N19/147—Data rate or code amount at the encoder output according to rate distortion criteria
    • 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
    • H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
    • H04N19/157—Assigned coding mode, i.e. the coding mode being predefined or preselected to be further used for selection of another element or parameter
    • 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
    • H04N19/17—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 an image region, e.g. an object
    • H04N19/176—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 an image region, e.g. an object the region being a block, e.g. a macroblock
    • 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
    • H04N19/18—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 a set of transform coefficients
    • 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
    • H04N19/46—Embedding additional information in the video signal during the compression process
    • H04N19/463—Embedding additional information in the video signal during the compression process by compressing encoding parameters before transmission
    • 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
    • H04N19/48—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using compressed domain processing techniques other than decoding, e.g. modification of transform coefficients, variable length coding [VLC] data or run-length data
    • 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
    • H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
    • H04N19/61—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding in combination with 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
    • H04N19/80—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2213/00—Indexing scheme relating to selecting arrangements in general and for multiplex systems
    • H04Q2213/13343—Neural networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q2213/00—Indexing scheme relating to selecting arrangements in general and for multiplex systems
    • H04Q2213/343—Neural network
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S706/00—Data processing: artificial intelligence

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Computer Hardware Design (AREA)
  • Geometry (AREA)
  • Automation & Control Theory (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
KR1020227032350A 2020-04-17 2021-03-23 딥 러닝을 사용한 병렬화된 레이트-왜곡 최적화된 양자화 Pending KR20230007313A (ko)

Applications Claiming Priority (7)

Application Number Priority Date Filing Date Title
US202063011685P 2020-04-17 2020-04-17
US63/011,685 2020-04-17
US202063034618P 2020-06-04 2020-06-04
US63/034,618 2020-06-04
US17/070,589 2020-10-14
US17/070,589 US12058348B2 (en) 2020-04-17 2020-10-14 Parallelized rate-distortion optimized quantization using deep learning
PCT/US2021/023680 WO2021211270A1 (en) 2020-04-17 2021-03-23 Parallelized rate-distortion optimized quantization using deep learning

Publications (1)

Publication Number Publication Date
KR20230007313A true KR20230007313A (ko) 2023-01-12

Family

ID=78082393

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020227032350A Pending KR20230007313A (ko) 2020-04-17 2021-03-23 딥 러닝을 사용한 병렬화된 레이트-왜곡 최적화된 양자화

Country Status (9)

Country Link
US (1) US12058348B2 (https=)
EP (1) EP4136837A1 (https=)
JP (1) JP7642671B2 (https=)
KR (1) KR20230007313A (https=)
CN (1) CN115336266B (https=)
BR (1) BR112022020125A2 (https=)
PH (1) PH12022552241A1 (https=)
TW (1) TW202145792A (https=)
WO (1) WO2021211270A1 (https=)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11490083B2 (en) 2020-02-05 2022-11-01 Qualcomm Incorporated Learned low-complexity adaptive quantization for video compression
US20220215265A1 (en) * 2021-01-04 2022-07-07 Tencent America LLC Method and apparatus for end-to-end task-oriented latent compression with deep reinforcement learning
US12244792B2 (en) * 2021-03-30 2025-03-04 Sony Interactive Entertainment Europe Limited Processing image data
US11368349B1 (en) * 2021-11-15 2022-06-21 King Abdulaziz University Convolutional neural networks based computationally efficient method for equalization in FBMC-OQAM system
JP7825447B2 (ja) * 2022-02-14 2026-03-06 日本放送協会 符号化装置、プログラム、及びモデル生成方法
WO2023169501A1 (en) * 2022-03-09 2023-09-14 Beijing Bytedance Network Technology Co., Ltd. Method, apparatus, and medium for visual data processing
US20230306239A1 (en) * 2022-03-25 2023-09-28 Tencent America LLC Online training-based encoder tuning in neural image compression
US20230316588A1 (en) * 2022-03-29 2023-10-05 Tencent America LLC Online training-based encoder tuning with multi model selection in neural image compression
US12231183B2 (en) * 2022-04-29 2025-02-18 Qualcomm Incorporated Machine learning for beam predictions with confidence indications
CN114708436B (zh) * 2022-06-02 2022-09-02 深圳比特微电子科技有限公司 语义分割模型的训练方法、语义分割方法、装置和介质
CN115209147B (zh) * 2022-09-15 2022-12-27 深圳沛喆微电子有限公司 摄像头视频传输带宽优化方法、装置、设备及存储介质
CN116366846B (zh) * 2023-03-14 2025-11-11 北京百度网讯科技有限公司 视频编码方法、装置以及设备
CN117764192A (zh) * 2023-07-31 2024-03-26 中国银联股份有限公司 构建对比矩阵的方法和系统以及层次分析方法和系统
WO2025114549A1 (en) * 2023-12-01 2025-06-05 Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. Block-based codec supporting transform coefficient prediction and/or transform improvement
US20250307133A1 (en) * 2024-03-28 2025-10-02 Advanced Micro Devices, Inc. Offloading Quantization of Directional Blocked Data Formats to Near-Memory Units
WO2025238505A1 (en) * 2024-05-13 2025-11-20 Imax Corporation Large multimodal model-based video encoding optimization

Family Cites Families (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20030009575A (ko) * 2001-06-26 2003-02-05 박광훈 신경망 분류기를 이용한 동영상 전송률 제어 장치 및 그방법
US7620103B2 (en) 2004-12-10 2009-11-17 Lsi Corporation Programmable quantization dead zone and threshold for standard-based H.264 and/or VC1 video encoding
US7889790B2 (en) 2005-12-20 2011-02-15 Sharp Laboratories Of America, Inc. Method and apparatus for dynamically adjusting quantization offset values
US7995649B2 (en) 2006-04-07 2011-08-09 Microsoft Corporation Quantization adjustment based on texture level
US8767834B2 (en) 2007-03-09 2014-07-01 Sharp Laboratories Of America, Inc. Methods and systems for scalable-to-non-scalable bit-stream rewriting
ES2681209T3 (es) 2009-09-10 2018-09-12 Guangdong Oppo Mobile Telecommunications Corp., Ltd. Técnicas de aceleración para una cuantificación optimizada de tasa de distorsión
US8170110B2 (en) * 2009-10-16 2012-05-01 Hong Kong Applied Science and Technology Research Institute Company Limited Method and apparatus for zoom motion estimation
KR101492930B1 (ko) 2010-09-14 2015-02-23 블랙베리 리미티드 변환 도메인 내의 어댑티브 필터링을 이용한 데이터 압축 방법 및 장치
BR112013007023A2 (pt) * 2010-09-28 2017-07-25 Samsung Electronics Co Ltd método de codificação de vídeo e método de decodificação de vídeo
US8553769B2 (en) * 2011-01-19 2013-10-08 Blackberry Limited Method and device for improved multi-layer data compression
US9521410B2 (en) 2012-04-26 2016-12-13 Qualcomm Incorporated Quantization parameter (QP) coding in video coding
US9213556B2 (en) * 2012-07-30 2015-12-15 Vmware, Inc. Application directed user interface remoting using video encoding techniques
US9560386B2 (en) 2013-02-21 2017-01-31 Mozilla Corporation Pyramid vector quantization for video coding
US9294766B2 (en) 2013-09-09 2016-03-22 Apple Inc. Chroma quantization in video coding
US10057578B2 (en) * 2014-10-07 2018-08-21 Qualcomm Incorporated QP derivation and offset for adaptive color transform in video coding
EP3545679B1 (en) * 2016-12-02 2022-08-24 Huawei Technologies Co., Ltd. Apparatus and method for encoding an image
US10721471B2 (en) * 2017-10-26 2020-07-21 Intel Corporation Deep learning based quantization parameter estimation for video encoding
KR102941657B1 (ko) * 2018-02-08 2026-03-20 한국전자통신연구원 신경망에 기반하는 비디오 부호화 및 비디오 복호화를 위한 방법 및 장치
EP3633990B1 (en) * 2018-10-02 2021-10-27 Nokia Technologies Oy An apparatus and method for using a neural network in video coding
JP2020088740A (ja) * 2018-11-29 2020-06-04 ピクシブ株式会社 画像処理装置、画像処理方法及び画像処理プログラム
US12505580B2 (en) * 2019-07-02 2025-12-23 Telefonaktiebolaget Lm Ericsson (Publ) Inference processing of data
US11496769B2 (en) * 2019-09-27 2022-11-08 Apple Inc. Neural network based image set compression
CN112819699B (zh) * 2019-11-15 2024-11-05 北京金山云网络技术有限公司 视频处理方法、装置及电子设备

Also Published As

Publication number Publication date
US12058348B2 (en) 2024-08-06
JP2023522575A (ja) 2023-05-31
CN115336266B (zh) 2025-09-23
BR112022020125A2 (pt) 2022-11-29
WO2021211270A1 (en) 2021-10-21
EP4136837A1 (en) 2023-02-22
JP7642671B2 (ja) 2025-03-10
TW202145792A (zh) 2021-12-01
PH12022552241A1 (en) 2024-03-11
CN115336266A (zh) 2022-11-11
US20210329267A1 (en) 2021-10-21

Similar Documents

Publication Publication Date Title
JP7642671B2 (ja) 深層学習を使用する並列化されたレートひずみ最適量子化
JP2023542841A (ja) ビデオコーディング中にフィルタ処理するための複数のニューラルネットワークモデル
CN114125446B (zh) 图像编码方法、解码方法和装置
CN116965029A (zh) 使用卷积神经网络对图像进行译码的装置和方法
WO2018119233A1 (en) Low-complexity sign prediction for video coding
JP2023544562A (ja) イントラ予測方法及び装置
EP3545679A1 (en) Apparatus and method for encoding an image
US11683505B2 (en) Method and a device for picture encoding and decoding
CN115053524B (zh) 用于视频压缩的低复杂度自适应量化
WO2020018560A1 (en) Transform variations of multiple separable transform selection
JP7704475B2 (ja) 符号化及び復号化方法並びに装置
WO2022063265A1 (zh) 帧间预测方法及装置
CN117981319A (zh) 用于基于块的视频编解码的符号预测
KR20250171279A (ko) 비디오 코딩을 위한 분리가능한 컨볼루션 및 멀티-스케일 강화를 갖는 뉴럴 네트워크-기반 인 루프 필터 아키텍처들
TW202516909A (zh) 用於視訊寫碼之基於ｕ－ｎｅｔ及變換器的迴路內濾波
CN118235412A (zh) 基于块的视频编解码的符号预测
WO2026085934A1 (en) Adaptive loop filter scaling factors for video coding
TW202606296A (zh) 具有複雜度降低的輸入特徵提取的基於ｎｎ的迴路內濾波器（ｉｌｆ）架構
KR20250166132A (ko) 적응형 비디오 필터
KR20250150536A (ko) 뉴럴 네트워크 기반 비디오 코딩 툴들의 복잡도 감소를 위한 방법들
TW202516910A (zh) 具有基於變換器之視訊寫碼工具的神經網路
KR20260022940A (ko) 분리가능한 컨볼루션을 갖는 저 복잡도 nn 기반 인 루프 필터 아키텍처
TW202541491A (zh) 用於視訊寫碼之具有整數變換器模組之基於ｒｅｓｎｅｔ的迴路內濾波器
TW202604159A (zh) 用於視訊寫碼之迴路內濾波的注意力圖正規化
TW202512730A (zh) 視訊寫碼中對卷積神經網路濾波器的神經網路權重的適應性量化

Legal Events

Date Code Title Description
PA0105 International application

St.27 status event code: A-0-1-A10-A15-nap-PA0105

P22-X000 Classification modified

St.27 status event code: A-2-2-P10-P22-nap-X000

PG1501 Laying open of application

St.27 status event code: A-1-1-Q10-Q12-nap-PG1501

D18-X000 Deferred examination requested

St.27 status event code: A-1-2-D10-D18-exm-X000

D19-X000 Deferred examination accepted

St.27 status event code: A-1-2-D10-D19-exm-X000

PA0201 Request for examination

St.27 status event code: A-1-2-D10-D11-exm-PA0201

P22-X000 Classification modified

St.27 status event code: A-2-2-P10-P22-nap-X000

D20 Deferred examination resumed

Free format text: ST27 STATUS EVENT CODE: A-1-2-D10-D20-EXM-X000 (AS PROVIDED BY THE NATIONAL OFFICE)

D20-X000 Deferred examination resumed

St.27 status event code: A-1-2-D10-D20-exm-X000

D21 Rejection of application intended

Free format text: ST27 STATUS EVENT CODE: A-1-2-D10-D21-EXM-PE0902 (AS PROVIDED BY THE NATIONAL OFFICE)

PE0902 Notice of grounds for rejection

St.27 status event code: A-1-2-D10-D21-exm-PE0902