JP7642671B2 - 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 - Google Patents
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 Download PDFInfo
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- JP7642671B2 JP7642671B2 JP2022557846A JP2022557846A JP7642671B2 JP 7642671 B2 JP7642671 B2 JP 7642671B2 JP 2022557846 A JP2022557846 A JP 2022557846A JP 2022557846 A JP2022557846 A JP 2022557846A JP 7642671 B2 JP7642671 B2 JP 7642671B2
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- G—PHYSICS
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- 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
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- G—PHYSICS
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- 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
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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
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- Computer Hardware Design (AREA)
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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 (3)
| Publication Number | Publication Date |
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| JP2023522575A JP2023522575A (ja) | 2023-05-31 |
| JP2023522575A5 JP2023522575A5 (https=) | 2024-03-19 |
| JP7642671B2 true JP7642671B2 (ja) | 2025-03-10 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| JP2022557846A Active JP7642671B2 (ja) | 2020-04-17 | 2021-03-23 | 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 |
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=) |
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| 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 |
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| KR20030009575A (ko) | 2001-06-26 | 2003-02-05 | 박광훈 | 신경망 분류기를 이용한 동영상 전송률 제어 장치 및 그방법 |
| US20190132591A1 (en) | 2017-10-26 | 2019-05-02 | Intel Corporation | Deep learning based quantization parameter estimation for video encoding |
| 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 |
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| 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 |
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| 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 |
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| EP3545679B1 (en) * | 2016-12-02 | 2022-08-24 | Huawei Technologies Co., Ltd. | Apparatus and method for encoding an image |
| KR102941657B1 (ko) * | 2018-02-08 | 2026-03-20 | 한국전자통신연구원 | 신경망에 기반하는 비디오 부호화 및 비디오 복호화를 위한 방법 및 장치 |
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| 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 |
-
2020
- 2020-10-14 US US17/070,589 patent/US12058348B2/en active Active
-
2021
- 2021-03-23 KR KR1020227032350A patent/KR20230007313A/ko active Pending
- 2021-03-23 JP JP2022557846A patent/JP7642671B2/ja active Active
- 2021-03-23 PH PH1/2022/552241A patent/PH12022552241A1/en unknown
- 2021-03-23 BR BR112022020125A patent/BR112022020125A2/pt unknown
- 2021-03-23 EP EP21718744.2A patent/EP4136837A1/en active Pending
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- 2021-03-23 WO PCT/US2021/023680 patent/WO2021211270A1/en not_active Ceased
- 2021-04-15 TW TW110113490A patent/TW202145792A/zh unknown
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| US20190132591A1 (en) | 2017-10-26 | 2019-05-02 | Intel Corporation | Deep learning based quantization parameter estimation for video encoding |
| 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 |
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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 |
| KR20230007313A (ko) | 2023-01-12 |
| EP4136837A1 (en) | 2023-02-22 |
| TW202145792A (zh) | 2021-12-01 |
| PH12022552241A1 (en) | 2024-03-11 |
| CN115336266A (zh) | 2022-11-11 |
| US20210329267A1 (en) | 2021-10-21 |
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