JP2022525235A - フィルタリング方法及び装置、コンピュータ記憶媒体 - Google Patents

フィルタリング方法及び装置、コンピュータ記憶媒体 Download PDF

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JP2022525235A
JP2022525235A JP2021555871A JP2021555871A JP2022525235A JP 2022525235 A JP2022525235 A JP 2022525235A JP 2021555871 A JP2021555871 A JP 2021555871A JP 2021555871 A JP2021555871 A JP 2021555871A JP 2022525235 A JP2022525235 A JP 2022525235A
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filtering
filter
neural network
parameter
parameters
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JP2022525235A5 (https=
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マー、イェンチュオ
ワン、シューアイ
フオ、チュンイェン
チャン、ウェイ
ワン、ミンツォー
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • 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
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    • G06N3/00—Computing arrangements based on biological models
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    • G06N3/08—Learning methods
    • G—PHYSICS
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    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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    • G06T5/60—Image enhancement or restoration using machine learning, e.g. neural networks
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    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
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    • 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
    • H04N19/134—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
    • H04N19/136—Incoming video signal characteristics or properties
    • H04N19/14—Coding unit complexity, e.g. amount of activity or edge presence estimation
    • 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
    • H04N19/182—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 pixel
    • 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
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    • 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
    • H04N19/82—Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation involving filtering within a prediction loop
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    • 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 OR CALCULATING; 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]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20172—Image enhancement details
    • G06T2207/20192—Edge enhancement; Edge preservation

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JP2021555871A 2019-03-24 2019-09-12 フィルタリング方法及び装置、コンピュータ記憶媒体 Pending JP2022525235A (ja)

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US201962822949P 2019-03-24 2019-03-24
US62/822,949 2019-03-24
PCT/CN2019/105799 WO2020192034A1 (zh) 2019-03-24 2019-09-12 滤波方法及装置、计算机存储介质

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JP2022525235A true JP2022525235A (ja) 2022-05-11
JP2022525235A5 JP2022525235A5 (https=) 2022-09-12

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US (2) US11985313B2 (https=)
EP (1) EP3941066A4 (https=)
JP (1) JP2022525235A (https=)
KR (1) KR102916931B1 (https=)
CN (1) CN113574897A (https=)
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023527144A (ja) * 2021-04-12 2023-06-27 テンセント・アメリカ・エルエルシー ビデオストリームにおけるニューラル・ネットワーク・トポロジ、パラメータ、および処理情報をシグナリングするための技術

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US12483715B2 (en) * 2020-02-24 2025-11-25 Nokia Technologies Oy Method, an apparatus and a computer program product for video encoding and video decoding
JP7783289B2 (ja) * 2021-03-03 2025-12-09 ベイジン ダジア インターネット インフォメーション テクノロジー カンパニー リミテッド 映像符号化のためにニューラルネットワークをハイブリッド訓練するための方法および装置
US11979565B2 (en) * 2021-05-27 2024-05-07 Tencent America LLC Content-adaptive online training method and apparatus for post-filtering
US12413721B2 (en) 2021-05-27 2025-09-09 Tencent America LLC Content-adaptive online training method and apparatus for post-filtering
CN120075440A (zh) 2021-12-21 2025-05-30 腾讯科技（深圳）有限公司 一种数据处理方法、装置、设备以及可读存储介质
WO2024019343A1 (ko) * 2022-07-20 2024-01-25 현대자동차주식회사 다양한 잡음 및 특성에 적응적인 비디오 인루프 필터
WO2024073145A1 (en) * 2022-09-30 2024-04-04 Beijing Dajia Internet Information Technology Co., Ltd. Methods and devices for adaptive loop filtering and cross-component adaptive loop filter
US20240282012A1 (en) * 2023-02-17 2024-08-22 Qualcomm Incorporated Methods for complexity reduction of neural network based video coding tools
TW202510566A (zh) * 2023-02-17 2025-03-01 美商高通公司 用於基於神經網路的視頻寫碼工具的複雜度降低的方法
CN120814225A (zh) * 2023-03-14 2025-10-17 北京达佳互联信息技术有限公司 用于自适应环路滤波器和跨分量自适应环路滤波器的方法和装置
WO2024249449A1 (en) * 2023-05-28 2024-12-05 Beijing Dajia Internet Information Technology Co., Ltd Methods and devices for adaptive loop filter and cross- component adaptive loop filter
WO2025009941A1 (ko) * 2023-07-05 2025-01-09 엘지전자 주식회사 영상 복호화 방법, 영상 부호화 방법 및 비트스트림을 전송하는 방법
KR20250107195A (ko) 2023-07-05 2025-07-11 엘지전자 주식회사 영상 부호화/복호화 방법, 비트스트림을 저장한 기록 매체 및 비트스트림을 전송하는 방법
GB2632319A (en) * 2023-08-03 2025-02-05 Sony Interactive Entertainment Inc Devices, systems, codecs and methods for neural coding
WO2025225943A1 (ko) * 2024-04-25 2025-10-30 현대자동차주식회사 비디오 압축에서 신경망 파라미터 변경을 위한 방법

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170345130A1 (en) * 2015-02-19 2017-11-30 Magic Pony Technology Limited Enhancing Visual Data Using And Augmenting Model Libraries

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8572184B1 (en) * 2007-10-04 2013-10-29 Bitdefender IPR Management Ltd. Systems and methods for dynamically integrating heterogeneous anti-spam filters
CN101841701B (zh) * 2009-03-20 2012-05-23 华为技术有限公司 基于宏块对的编解码方法及装置
US9762906B2 (en) * 2013-02-18 2017-09-12 Mediatek Inc. Method and apparatus for video decoding using multi-core processor
PH12018500454B1 (en) * 2015-09-03 2024-02-28 Mediatek Inc Method and apparatus of nueral network based processing in video coding
US10531111B2 (en) * 2015-11-06 2020-01-07 Microsoft Technology Licensing, Llc Flexible reference picture management for video encoding and decoding
US11132619B1 (en) * 2017-02-24 2021-09-28 Cadence Design Systems, Inc. Filtering in trainable networks
US20180293486A1 (en) * 2017-04-07 2018-10-11 Tenstorrent Inc. Conditional graph execution based on prior simplified graph execution
CN108932697B (zh) * 2017-05-26 2020-01-17 杭州海康威视数字技术股份有限公司 一种失真图像的去失真方法、装置及电子设备
CN110870319B (zh) * 2017-05-31 2022-12-06 交互数字麦迪逊专利控股公司 画面编码和解码的方法和设备
CN108184129B (zh) * 2017-12-11 2020-01-10 北京大学 一种视频编解码方法、装置及用于图像滤波的神经网络
CN108134932B (zh) 2018-01-11 2021-03-30 上海交通大学 基于卷积神经网络的视频编解码环路内滤波实现方法及系统

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170345130A1 (en) * 2015-02-19 2017-11-30 Magic Pony Technology Limited Enhancing Visual Data Using And Augmenting Model Libraries

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
CHAVAN, TRUPTI R. ET AL.: "A Hybrid Deep Neural Network for Online Learning", PROC. NINTH INTERNATIONAL CONFERENCE ON ADVANCES IN PATTERN RECOGNITION 2017, JPN6023044943, 30 December 2018 (2018-12-30), IN, pages 1 - 6, ISSN: 0005327435 *
KAWAMURA, KEI ET AL.: "CE13-related: Adaptive CNN Based In-Loop Filtering with Boundary Weights", JVET-N0712 (VERSION 1), JPN6023044942, 20 March 2019 (2019-03-20), pages 1 - 2, ISSN: 0005186571 *
WAN, SHUAI ET AL.: "CE13-related: Integrated In-Loop Filter based on CNN", JVET-N0133 (VERSION 2), JPN6023044944, 17 March 2019 (2019-03-17), pages 1 - 7, ISSN: 0005327434 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2023527144A (ja) * 2021-04-12 2023-06-27 テンセント・アメリカ・エルエルシー ビデオストリームにおけるニューラル・ネットワーク・トポロジ、パラメータ、および処理情報をシグナリングするための技術
JP7522860B2 (ja) 2021-04-12 2024-07-25 テンセント・アメリカ・エルエルシー ビデオストリームにおけるニューラル・ネットワーク・トポロジ、パラメータ、および処理情報をシグナリングするための技術

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US20220007015A1 (en) 2022-01-06
WO2020192034A1 (zh) 2020-10-01
EP3941066A1 (en) 2022-01-19
US20240267515A1 (en) 2024-08-08
EP3941066A4 (en) 2022-06-22
US11985313B2 (en) 2024-05-14
CN113574897A (zh) 2021-10-29
KR102916931B1 (ko) 2026-01-22
KR20210134397A (ko) 2021-11-09

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