KR20230136121A - 인공 신경망을 사용한 프로그래시브 데이터 압축 - Google Patents

인공 신경망을 사용한 프로그래시브 데이터 압축 Download PDF

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KR20230136121A
KR20230136121A KR1020237024615A KR20237024615A KR20230136121A KR 20230136121 A KR20230136121 A KR 20230136121A KR 1020237024615 A KR1020237024615 A KR 1020237024615A KR 20237024615 A KR20237024615 A KR 20237024615A KR 20230136121 A KR20230136121 A KR 20230136121A
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content
quantization
quantization bin
encoded
compression
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야동 루
양 양
인하오 주
아미르 사이드
타코 세바스티안 코헌
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퀄컴 인코포레이티드
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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
    • H04N19/124—Quantisation
    • G—PHYSICS
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    • G06N3/02—Neural networks
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    • G06N3/045—Combinations of networks
    • G06N3/0455—Auto-encoder networks; Encoder-decoder networks
    • 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
    • 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
    • G06N3/0495—Quantised networks; Sparse networks; Compressed networks
    • 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
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • 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
    • G06N3/08—Learning methods
    • G06N3/088—Non-supervised learning, e.g. competitive learning
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/3059—Digital compression and data reduction techniques where the original information is represented by a subset or similar information, e.g. lossy compression
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/3082—Vector coding
    • 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
    • H04N19/103—Selection of coding mode or of prediction mode
    • H04N19/112—Selection of coding mode or of prediction mode according to a given display mode, e.g. for interlaced or progressive display mode
    • 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
    • H04N19/119—Adaptive subdivision aspects, e.g. subdivision of a picture into rectangular or non-rectangular coding blocks
    • 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
    • H04N19/124—Quantisation
    • H04N19/126—Details of normalisation or weighting functions, e.g. normalisation matrices or variable uniform quantisers
    • 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
    • H04N19/146—Data rate or code amount at the encoder output
    • 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
    • H04N19/146—Data rate or code amount at the encoder output
    • H04N19/147—Data rate or code amount at the encoder output according to rate distortion criteria

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
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  • Software Systems (AREA)
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  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
KR1020237024615A 2021-01-25 2022-01-25 인공 신경망을 사용한 프로그래시브 데이터 압축 Pending KR20230136121A (ko)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202163141322P 2021-01-25 2021-01-25
US63/141,322 2021-01-25
US17/648,808 US12008731B2 (en) 2021-01-25 2022-01-24 Progressive data compression using artificial neural networks
US17/648,808 2022-01-24
PCT/US2022/013723 WO2022159897A1 (en) 2021-01-25 2022-01-25 Progressive data compression using artificial neural networks

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KR20230136121A true KR20230136121A (ko) 2023-09-26

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EP (1) EP4282076A1 (https=)
JP (1) JP7850166B2 (https=)
KR (1) KR20230136121A (https=)
BR (1) BR112023013954A2 (https=)
WO (1) WO2022159897A1 (https=)

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CN114827622A (zh) 2021-01-19 2022-07-29 华为技术有限公司 分层编解码的方法及装置
CN116778002A (zh) * 2022-03-10 2023-09-19 华为技术有限公司 编解码方法、装置、设备、存储介质及计算机程序产品
CN119815080B (zh) * 2022-07-14 2025-12-26 杭州海康威视数字技术股份有限公司 一种基于神经网络的图像解码、编码方法、装置及其设备
CN120323013A (zh) * 2022-12-05 2025-07-15 抖音视界有限公司 用于经学习的压缩模型的从熵量化角度的可控可变率
CN116260969B (zh) * 2023-05-15 2023-08-18 鹏城实验室 一种自适应的通道渐进式编解码方法、装置、终端及介质
EP4728734A1 (en) * 2023-06-14 2026-04-22 Dolby Laboratories Licensing Corporation Error protection for neural field streaming
US20260046460A1 (en) * 2024-08-09 2026-02-12 Synaptics Incorporated Progressive coding for autoencoders
CN119383348B (zh) * 2024-10-11 2025-10-28 西安电子科技大学 基于分布式的感兴趣区域图像压缩方法

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US11562208B2 (en) 2018-05-17 2023-01-24 Qualcomm Incorporated Continuous relaxation of quantization for discretized deep neural networks
US11257254B2 (en) 2018-07-20 2022-02-22 Google Llc Data compression using conditional entropy models
US20200160565A1 (en) 2018-11-19 2020-05-21 Zhan Ma Methods And Apparatuses For Learned Image Compression
US10886943B2 (en) * 2019-03-18 2021-01-05 Samsung Electronics Co., Ltd Method and apparatus for variable rate compression with a conditional autoencoder

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JP2024504315A (ja) 2024-01-31
JP7850166B2 (ja) 2026-04-22
BR112023013954A2 (pt) 2023-11-07
WO2022159897A1 (en) 2022-07-28

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