EP3583777A4 - Procédé et équipement technique de traitement vidéo - Google Patents

Procédé et équipement technique de traitement vidéo Download PDF

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Publication number
EP3583777A4
EP3583777A4 EP18754044.8A EP18754044A EP3583777A4 EP 3583777 A4 EP3583777 A4 EP 3583777A4 EP 18754044 A EP18754044 A EP 18754044A EP 3583777 A4 EP3583777 A4 EP 3583777A4
Authority
EP
European Patent Office
Prior art keywords
video processing
technical equipment
equipment
technical
video
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
EP18754044.8A
Other languages
German (de)
English (en)
Other versions
EP3583777A1 (fr
Inventor
Francesco Cricri
Emre Baris Aksu
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 EP3583777A1 publication Critical patent/EP3583777A1/fr
Publication of EP3583777A4 publication Critical patent/EP3583777A4/fr
Pending legal-status Critical Current

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Classifications

    • 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
    • H03M7/60—General implementation details not specific to a particular type of compression
    • H03M7/6064—Selection of Compressor
    • H03M7/6082—Selection strategies
    • H03M7/6094—Selection strategies according to reasons other than compression rate or data type
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • 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
    • 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
    • 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
    • H04N19/46—Embedding additional information in the video signal during the compression process
    • 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
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/593—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
    • 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
    • H04N19/85—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using pre-processing or post-processing specially adapted for video compression
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
    • G10L19/04—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
    • G10L19/16—Vocoder architecture
    • G10L19/18—Vocoders using multiple modes
    • G10L19/22—Mode decision, i.e. based on audio signal content versus external parameters
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Signal Processing (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Databases & Information Systems (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Image Analysis (AREA)
EP18754044.8A 2017-02-16 2018-01-23 Procédé et équipement technique de traitement vidéo Pending EP3583777A4 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FI20175136 2017-02-16
PCT/FI2018/050049 WO2018150083A1 (fr) 2017-02-16 2018-01-23 Procédé et équipement technique de traitement vidéo

Publications (2)

Publication Number Publication Date
EP3583777A1 EP3583777A1 (fr) 2019-12-25
EP3583777A4 true EP3583777A4 (fr) 2020-12-23

Family

ID=63169186

Family Applications (1)

Application Number Title Priority Date Filing Date
EP18754044.8A Pending EP3583777A4 (fr) 2017-02-16 2018-01-23 Procédé et équipement technique de traitement vidéo

Country Status (2)

Country Link
EP (1) EP3583777A4 (fr)
WO (1) WO2018150083A1 (fr)

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US11657264B2 (en) 2018-04-09 2023-05-23 Nokia Technologies Oy Content-specific neural network distribution
EP3831075A1 (fr) 2018-07-30 2021-06-09 Koninklijke KPN N.V. Génération d'un flux vidéo composite pour un affichage en réalité virtuelle (vr)
CN111179212B (zh) * 2018-11-10 2023-05-23 杭州凝眸智能科技有限公司 集成蒸馏策略和反卷积的微小目标检测片上实现方法
US11924442B2 (en) 2018-11-20 2024-03-05 Koninklijke Kpn N.V. Generating and displaying a video stream by omitting or replacing an occluded part
US10904637B2 (en) * 2018-12-17 2021-01-26 Qualcomm Incorporated Embedded rendering engine for media data
US11831867B2 (en) 2019-02-15 2023-11-28 Nokia Technologies Oy Apparatus, a method and a computer program for video coding and decoding
EP3938962A1 (fr) * 2019-03-15 2022-01-19 Dolby International AB Procédé et appareil permettant de mettre à jour un réseau neuronal
JP7303456B2 (ja) * 2019-06-21 2023-07-05 日本電信電話株式会社 符号化装置、符号化方法及びプログラム
EP4014166A1 (fr) 2019-08-14 2022-06-22 Google LLC Messagerie d'équipement utilisateur/station de base concernant des réseaux neuronaux profonds
WO2021029891A1 (fr) 2019-08-14 2021-02-18 Google Llc Communication d'une configuration de formation de réseau neuronal
US11397893B2 (en) 2019-09-04 2022-07-26 Google Llc Neural network formation configuration feedback for wireless communications
JP7404525B2 (ja) 2019-10-31 2023-12-25 グーグル エルエルシー ネットワークスライシングのための機械学習アーキテクチャの決定
US11886991B2 (en) 2019-11-27 2024-01-30 Google Llc Machine-learning architectures for broadcast and multicast communications
US11689940B2 (en) 2019-12-13 2023-06-27 Google Llc Machine-learning architectures for simultaneous connection to multiple carriers
KR102423977B1 (ko) * 2019-12-27 2022-07-22 삼성전자 주식회사 인공신경망 기반의 음성 신호 송수신 방법 및 장치
US20230100728A1 (en) * 2020-03-03 2023-03-30 Telefonaktiebolaget Lm Ericsson (Publ) A system, an arrangement, a computer software module arrangement, a circuitry arrangement and a method for improved image processing utilzing two entities
US11663472B2 (en) 2020-06-29 2023-05-30 Google Llc Deep neural network processing for a user equipment-coordination set
US11622117B2 (en) * 2020-07-21 2023-04-04 Tencent America LLC Method and apparatus for rate-adaptive neural image compression with adversarial generators
EP3975452A1 (fr) * 2020-09-24 2022-03-30 ATLAS ELEKTRONIK GmbH Récepteur de sono d'origine hydrique et système de transmission de données d'images utilisant un signal de son d'origine hydrique
US11445198B2 (en) * 2020-09-29 2022-09-13 Tencent America LLC Multi-quality video super resolution with micro-structured masks
CN112561799A (zh) * 2020-12-21 2021-03-26 江西师范大学 一种红外图像超分辨率重建方法
JPWO2023047485A1 (fr) * 2021-09-22 2023-03-30
CN118077201A (zh) * 2021-09-29 2024-05-24 字节跳动有限公司 用于视频处理的方法、设备和介质
CN114095033B (zh) * 2021-11-16 2024-05-14 上海交通大学 基于上下文的图卷积的目标交互关系语义无损压缩系统及方法

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US8223837B2 (en) * 2007-09-07 2012-07-17 Microsoft Corporation Learning-based image compression
US20130170558A1 (en) * 2010-09-10 2013-07-04 Thomson Licensing Video decoding using block-based mixed-resolution data pruning

Non-Patent Citations (4)

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Title
DONG LIU ET AL: "Inpainting with image patches for compression", JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, ACADEMIC PRESS, INC, US, vol. 23, no. 1, 31 August 2011 (2011-08-31), pages 100 - 113, XP028397307, ISSN: 1047-3203, [retrieved on 20110908], DOI: 10.1016/J.JVCIR.2011.09.001 *
JIANG WEI: "Rate-distortion optimized image compression based on image inpainting", MULTIMEDIA TOOLS AND APPLICATIONS, KLUWER ACADEMIC PUBLISHERS, BOSTON, US, vol. 75, no. 2, 8 November 2014 (2014-11-08), pages 919 - 933, XP035924495, ISSN: 1380-7501, [retrieved on 20141108], DOI: 10.1007/S11042-014-2332-4 *
No further relevant documents disclosed *
See also references of WO2018150083A1 *

Also Published As

Publication number Publication date
EP3583777A1 (fr) 2019-12-25
WO2018150083A1 (fr) 2018-08-23

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