EP3994625A4 - Neuronales netz zur kompression mit variabler bitrate - Google Patents

Neuronales netz zur kompression mit variabler bitrate Download PDF

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Publication number
EP3994625A4
EP3994625A4 EP20835330.0A EP20835330A EP3994625A4 EP 3994625 A4 EP3994625 A4 EP 3994625A4 EP 20835330 A EP20835330 A EP 20835330A EP 3994625 A4 EP3994625 A4 EP 3994625A4
Authority
EP
European Patent Office
Prior art keywords
neural network
bit rate
variable bit
rate compression
compression
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20835330.0A
Other languages
English (en)
French (fr)
Other versions
EP3994625A1 (de
Inventor
Caglar AYTEKIN
Francesco Cricri
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nokia Technologies Oy
Original Assignee
Nokia Technologies Oy
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nokia Technologies Oy filed Critical Nokia Technologies Oy
Publication of EP3994625A1 publication Critical patent/EP3994625A1/de
Publication of EP3994625A4 publication Critical patent/EP3994625A4/de
Pending legal-status Critical Current

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Classifications

    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • 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
    • H04N19/162—User input
    • 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
    • H04N19/174—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 slice, e.g. a line of blocks or a group of blocks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/002—Image coding using neural networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
EP20835330.0A 2019-07-03 2020-06-10 Neuronales netz zur kompression mit variabler bitrate Pending EP3994625A4 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FI20195605 2019-07-03
PCT/FI2020/050403 WO2021001594A1 (en) 2019-07-03 2020-06-10 Neural network for variable bit rate compression

Publications (2)

Publication Number Publication Date
EP3994625A1 EP3994625A1 (de) 2022-05-11
EP3994625A4 true EP3994625A4 (de) 2023-05-31

Family

ID=74101251

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20835330.0A Pending EP3994625A4 (de) 2019-07-03 2020-06-10 Neuronales netz zur kompression mit variabler bitrate

Country Status (2)

Country Link
EP (1) EP3994625A4 (de)
WO (1) WO2021001594A1 (de)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4315856A1 (de) * 2021-03-25 2024-02-07 Sony Semiconductor Solutions Corporation Schaltungen und verfahren
CN113720399B (zh) * 2021-11-02 2022-04-15 国网湖北省电力有限公司检修公司 特高压带电作业用绝缘吊带远程智能监测方法及装置

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10192327B1 (en) * 2016-02-04 2019-01-29 Google Llc Image compression with recurrent neural networks
CN113424200A (zh) * 2019-02-15 2021-09-21 诺基亚技术有限公司 用于视频编码和视频解码的方法、装置和计算机程序产品

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
GEORGE TODERICI ET AL: "Variable Rate Image Compression with Recurrent Neural Networks", 1 March 2016 (2016-03-01), arXiv.org, pages 1 - 12, XP055506355, Retrieved from the Internet <URL:https://arxiv.org/abs/1511.06085> [retrieved on 20180911] *
See also references of WO2021001594A1 *
TODERICI GEORGE ET AL: "Full Resolution Image Compression with Recurrent Neural Networks", 2017 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE COMPUTER SOCIETY, US, 21 July 2017 (2017-07-21), pages 5435 - 5443, XP033249903, ISSN: 1063-6919, [retrieved on 20171106], DOI: 10.1109/CVPR.2017.577 *

Also Published As

Publication number Publication date
EP3994625A1 (de) 2022-05-11
WO2021001594A1 (en) 2021-01-07

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Ipc: H04N 19/103 20140101ALI20230426BHEP

Ipc: H04N 19/174 20140101ALI20230426BHEP

Ipc: H04N 19/162 20140101ALI20230426BHEP

Ipc: H04N 19/146 20140101ALI20230426BHEP

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