CN116508321A - 视频译码期间基于联合分量神经网络的滤波 - Google Patents
视频译码期间基于联合分量神经网络的滤波 Download PDFInfo
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- CN116508321A CN116508321A CN202180066933.9A CN202180066933A CN116508321A CN 116508321 A CN116508321 A CN 116508321A CN 202180066933 A CN202180066933 A CN 202180066933A CN 116508321 A CN116508321 A CN 116508321A
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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
- H04N19/169—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
- H04N19/186—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 colour or a chrominance component
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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
- H04N19/117—Filters, e.g. for pre-processing or post-processing
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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
- H04N19/80—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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- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G06T9/00—Image coding
- G06T9/002—Image coding 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
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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
- H04N19/17—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
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- 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
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- G06N3/048—Activation functions
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- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
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- 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]
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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
- H04N19/90—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using coding techniques not provided for in groups H04N19/10-H04N19/85, e.g. fractals
- H04N19/96—Tree coding, e.g. quad-tree coding
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Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063087784P | 2020-10-05 | 2020-10-05 | |
| US63/087,784 | 2020-10-05 | ||
| US17/493,543 | 2021-10-04 | ||
| US17/493,543 US11825101B2 (en) | 2020-10-05 | 2021-10-04 | Joint-component neural network based filtering during video coding |
| PCT/US2021/053490 WO2022076355A1 (en) | 2020-10-05 | 2021-10-05 | Joint-component neural network based filtering during video coding |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116508321A true CN116508321A (zh) | 2023-07-28 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202180066933.9A Pending CN116508321A (zh) | 2020-10-05 | 2021-10-05 | 视频译码期间基于联合分量神经网络的滤波 |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US11825101B2 (https=) |
| EP (1) | EP4226632A1 (https=) |
| JP (1) | JP2023544705A (https=) |
| KR (1) | KR20230081701A (https=) |
| CN (1) | CN116508321A (https=) |
| BR (1) | BR112023005436A2 (https=) |
| WO (1) | WO2022076355A1 (https=) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2025044947A1 (en) * | 2023-08-26 | 2025-03-06 | Douyin Vision Co., Ltd. | Method, apparatus, and medium for visual data processing |
Families Citing this family (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7030246B2 (ja) * | 2019-06-25 | 2022-03-04 | 日本放送協会 | イントラ予測装置、画像復号装置、及びプログラム |
| WO2022120285A1 (en) * | 2020-12-04 | 2022-06-09 | Beijing Dajia Internet Information Technology Co., Ltd. | Network based image filtering for video coding |
| US12212776B2 (en) * | 2021-09-24 | 2025-01-28 | Apple Inc. | Systems and methods for low resolution motion estimation searches |
| US12555201B2 (en) * | 2021-12-14 | 2026-02-17 | Netflix, Inc. | Techniques for component-based image preprocessing |
| WO2023198057A1 (en) * | 2022-04-12 | 2023-10-19 | Beijing Bytedance Network Technology Co., Ltd. | Method, apparatus, and medium for video processing |
| CN119404507A (zh) * | 2022-04-12 | 2025-02-07 | 韩国电子通信研究院 | 用于使用帧内块复制的视频编码/解码的方法和设备 |
| CN119422374A (zh) * | 2022-06-16 | 2025-02-11 | 抖音视界有限公司 | 基于可变速率神经网络的压缩 |
| WO2024010710A1 (en) * | 2022-07-04 | 2024-01-11 | Dolby Laboratories Licensing Corporation | Loop filtering using neural networks |
| KR20240019638A (ko) * | 2022-08-04 | 2024-02-14 | 삼성전자주식회사 | 크로마 성분 예측을 수행하는 ai에 기반한 비디오 복호화 장치 및 방법, 및 비디오 부호화 장치 및 방법 |
| US20240080462A1 (en) * | 2022-09-06 | 2024-03-07 | Apple Inc. | Systems and Methods for Low-Resolution Motion Estimation Searches |
| WO2024146446A1 (en) * | 2023-01-04 | 2024-07-11 | Douyin Vision Co., Ltd. | Method, apparatus, and medium for video processing |
| CN120569959A (zh) * | 2023-01-11 | 2025-08-29 | 抖音视界有限公司 | 用于视频处理的方法、装置和介质 |
| US12593040B2 (en) * | 2023-02-08 | 2026-03-31 | Mediatek Inc. | Method and apparatus for improving performance of neural network filter based video coding |
| CN120898426A (zh) * | 2023-03-22 | 2025-11-04 | 抖音视界有限公司 | 用于可视数据处理的方法、装置和介质 |
| EP4702759A1 (en) * | 2023-04-25 | 2026-03-04 | Douyin Vision Co., Ltd. | Method, apparatus, and medium for video processing |
| US12457368B2 (en) * | 2023-06-12 | 2025-10-28 | Qualcomm Incorporated | NN-based in loop filter architectures with separable convolution and switching order of decomposition |
| US20240422361A1 (en) * | 2023-06-14 | 2024-12-19 | Qualcomm Incorporated | Neural network based in loop filter architecture with unified supplementary data processing for video coding |
| US12581085B2 (en) * | 2024-05-13 | 2026-03-17 | Tencent America LLC | CCSO with filter shapes |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108184129A (zh) * | 2017-12-11 | 2018-06-19 | 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 |
| CN109565594A (zh) * | 2016-08-02 | 2019-04-02 | 高通股份有限公司 | 基于几何变换的自适应环路滤波 |
| CN109691102A (zh) * | 2016-08-31 | 2019-04-26 | 高通股份有限公司 | 跨分量滤波器 |
| US20190246122A1 (en) * | 2018-02-08 | 2019-08-08 | Qualcomm Incorporated | Palette coding for video coding |
| US20200084444A1 (en) * | 2018-09-12 | 2020-03-12 | Qualcomm Incorporated | Temporal prediction of adaptive loop filter parameters with reduced memory consumption for video coding |
| CN111133756A (zh) * | 2017-10-12 | 2020-05-08 | 联发科技股份有限公司 | 用于视频编码的神经网络方法和装置 |
| CN111194555A (zh) * | 2017-08-28 | 2020-05-22 | 交互数字Vc控股公司 | 用模式感知深度学习进行滤波的方法和装置 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019009449A1 (ko) * | 2017-07-06 | 2019-01-10 | 삼성전자 주식회사 | 영상을 부호화/복호화 하는 방법 및 그 장치 |
| JP7073186B2 (ja) * | 2018-05-14 | 2022-05-23 | シャープ株式会社 | 画像フィルタ装置 |
| WO2020047536A1 (en) * | 2018-08-31 | 2020-03-05 | Board Of Regents, University Of Texas System | Deep learning based dosed prediction for treatment planning and quality assurance in radiation therapy |
| EP3706046A1 (en) | 2019-03-04 | 2020-09-09 | InterDigital VC Holdings, Inc. | Method and device for picture encoding and decoding |
| WO2020192020A1 (zh) * | 2019-03-24 | 2020-10-01 | Oppo广东移动通信有限公司 | 滤波方法、装置、编码器以及计算机存储介质 |
-
2021
- 2021-10-04 US US17/493,543 patent/US11825101B2/en active Active
- 2021-10-05 CN CN202180066933.9A patent/CN116508321A/zh active Pending
- 2021-10-05 WO PCT/US2021/053490 patent/WO2022076355A1/en not_active Ceased
- 2021-10-05 KR KR1020237010420A patent/KR20230081701A/ko active Pending
- 2021-10-05 EP EP21801732.5A patent/EP4226632A1/en active Pending
- 2021-10-05 BR BR112023005436A patent/BR112023005436A2/pt unknown
- 2021-10-05 JP JP2023519515A patent/JP2023544705A/ja active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109565594A (zh) * | 2016-08-02 | 2019-04-02 | 高通股份有限公司 | 基于几何变换的自适应环路滤波 |
| CN109691102A (zh) * | 2016-08-31 | 2019-04-26 | 高通股份有限公司 | 跨分量滤波器 |
| CN111194555A (zh) * | 2017-08-28 | 2020-05-22 | 交互数字Vc控股公司 | 用模式感知深度学习进行滤波的方法和装置 |
| CN111133756A (zh) * | 2017-10-12 | 2020-05-08 | 联发科技股份有限公司 | 用于视频编码的神经网络方法和装置 |
| CN108184129A (zh) * | 2017-12-11 | 2018-06-19 | 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 |
| US20190246122A1 (en) * | 2018-02-08 | 2019-08-08 | Qualcomm Incorporated | Palette coding for video coding |
| US20200084444A1 (en) * | 2018-09-12 | 2020-03-12 | Qualcomm Incorporated | Temporal prediction of adaptive loop filter parameters with reduced memory consumption for video coding |
Non-Patent Citations (1)
| Title |
|---|
| YU-LING HSIAO ET AL: "CE10-1.2: Convolutional neural network loop filter", JVET, 18 June 2019 (2019-06-18), pages 1 - 2 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2025044947A1 (en) * | 2023-08-26 | 2025-03-06 | Douyin Vision Co., Ltd. | Method, apparatus, and medium for visual data processing |
Also Published As
| Publication number | Publication date |
|---|---|
| EP4226632A1 (en) | 2023-08-16 |
| KR20230081701A (ko) | 2023-06-07 |
| WO2022076355A1 (en) | 2022-04-14 |
| JP2023544705A (ja) | 2023-10-25 |
| US11825101B2 (en) | 2023-11-21 |
| BR112023005436A2 (pt) | 2023-05-09 |
| US20220109860A1 (en) | 2022-04-07 |
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