CN115336266B - 使用深度学习的并行化的速率失真优化量化 - Google Patents

使用深度学习的并行化的速率失真优化量化

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Publication number
CN115336266B
CN115336266B CN202180022319.2A CN202180022319A CN115336266B CN 115336266 B CN115336266 B CN 115336266B CN 202180022319 A CN202180022319 A CN 202180022319A CN 115336266 B CN115336266 B CN 115336266B
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transform coefficient
determining
coefficients
block
quantization
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CN115336266A (zh
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D·基安法尔
A·J·维格斯
A·赛义德
T·S·科亨
R·普里扎
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Qualcomm Inc
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
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    • 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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    • G—PHYSICS
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    • 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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    • 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
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    • 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
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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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CN202180022319.2A 2020-04-17 2021-03-23 使用深度学习的并行化的速率失真优化量化 Active CN115336266B (zh)

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US202063011685P 2020-04-17 2020-04-17
US63/011,685 2020-04-17
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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

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BR112022020125A2 (pt) 2022-11-29
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KR20230007313A (ko) 2023-01-12
EP4136837A1 (en) 2023-02-22
JP7642671B2 (ja) 2025-03-10
TW202145792A (zh) 2021-12-01
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