BR112022020125A2 - Quantização otimizada de distorção de taxa paralelizada que utiliza aprendizagem profunda - Google Patents

Quantização otimizada de distorção de taxa paralelizada que utiliza aprendizagem profunda

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Publication number
BR112022020125A2
BR112022020125A2 BR112022020125A BR112022020125A BR112022020125A2 BR 112022020125 A2 BR112022020125 A2 BR 112022020125A2 BR 112022020125 A BR112022020125 A BR 112022020125A BR 112022020125 A BR112022020125 A BR 112022020125A BR 112022020125 A2 BR112022020125 A2 BR 112022020125A2
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BR
Brazil
Prior art keywords
transform coefficients
block
video encoder
scaled
quantization
Prior art date
Application number
BR112022020125A
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English (en)
Portuguese (pt)
Inventor
Kianfar Dana
Joris Wiggers Auke
Said Amir
Sebastiaan Cohen Taco
POURREZA Reza
Original Assignee
Qualcomm Inc
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Publication date
Application filed by Qualcomm Inc filed Critical Qualcomm Inc
Publication of BR112022020125A2 publication Critical patent/BR112022020125A2/pt

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    • 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
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    • 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
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    • 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
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    • 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
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    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
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    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
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    • 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
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    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
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    • 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
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    • 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
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    • 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
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    • H—ELECTRICITY
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    • H04Q—SELECTING
    • H04Q2213/00—Indexing scheme relating to selecting arrangements in general and for multiplex systems
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    • 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

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  • 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)
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  • 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)
BR112022020125A 2020-04-17 2021-03-23 Quantização otimizada de distorção de taxa paralelizada que utiliza aprendizagem profunda BR112022020125A2 (pt)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US202063011685P 2020-04-17 2020-04-17
US202063034618P 2020-06-04 2020-06-04
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

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BR112022020125A2 true BR112022020125A2 (pt) 2022-11-29

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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

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JP2023522575A (ja) 2023-05-31
CN115336266B (zh) 2025-09-23
WO2021211270A1 (en) 2021-10-21
KR20230007313A (ko) 2023-01-12
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

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