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WO2016065538A1 - Prédiction de composantes croisées guidée - Google Patents

Prédiction de composantes croisées guidée Download PDF

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Publication number
WO2016065538A1
WO2016065538A1 PCT/CN2014/089716 CN2014089716W WO2016065538A1 WO 2016065538 A1 WO2016065538 A1 WO 2016065538A1 CN 2014089716 W CN2014089716 W CN 2014089716W WO 2016065538 A1 WO2016065538 A1 WO 2016065538A1
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WO
WIPO (PCT)
Prior art keywords
prediction
component
pred
resi
information
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.)
Ceased
Application number
PCT/CN2014/089716
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English (en)
Inventor
Han HUANG
Kai Zhang
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.)
MediaTek Singapore Pte Ltd
Original Assignee
MediaTek Singapore Pte Ltd
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 MediaTek Singapore Pte Ltd filed Critical MediaTek Singapore Pte Ltd
Priority to PCT/CN2014/089716 priority Critical patent/WO2016065538A1/fr
Priority to EP15855903.9A priority patent/EP3198874A4/fr
Priority to KR1020177013692A priority patent/KR20170071594A/ko
Priority to PCT/CN2015/092168 priority patent/WO2016066028A1/fr
Priority to CN201580058756.4A priority patent/CN107079166A/zh
Priority to CA2964324A priority patent/CA2964324C/fr
Priority to SG11201703014RA priority patent/SG11201703014RA/en
Priority to KR1020207012648A priority patent/KR20200051831A/ko
Priority to US15/519,181 priority patent/US20170244975A1/en
Publication of WO2016065538A1 publication Critical patent/WO2016065538A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods 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
    • H04N19/186Methods 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 colour or a chrominance component
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding

Definitions

  • the invention relates generally to image and video processing.
  • the presented invention relates to image and video coding.
  • Cross-component prediction estimates the chroma samples by linear combination of the luma samples, as described in equation (1) .
  • P C and P L represent chroma samples and luma samples, respectively.
  • ⁇ and ⁇ are two parameters.
  • the LM mode is proposed in [1] for intra prediction coding, in which the neighboring reconstructed samples are used to estimate the two parameters.
  • the prediction block is used to derive the parameters for cross-component prediction.
  • Fig.1 is a diagram illustrating the concept of guided cross-component prediction using prediction block.
  • the proposed method is shown in Fig.1.
  • the prediction block is used to derive a set of parameters, and the parameters are used for cross-component prediction in current block. Therefore, the prediction block acts as a guide.
  • the reconstructed signal for component X is calculated as Pred X +Resi' X +f (Resi Z ) .
  • Component Z is coded/decoded before component X.
  • the function f is derived by analyzing Pred X and Pred Z , where Pred X and Pred Z are the prediction signals for component X and component Z respectively.
  • the subsampled prediction block is used for parameters estimation.
  • the filtered motion compensation prediction block is used for parameters estimation.
  • the filter can be a smooth filter.
  • subsample Z component is used in the case when Z component has larger resolution.
  • a flag is coded to indicate whether residual prediction is applied.
  • the flag is coded for each X component separately or only one flag is coded for all X components.
  • the flag is only coded when Z residual signal is significant, i.e. Z residual is not all zero.
  • the flag is inherited from merge mode.
  • the flag is derived by its merge candidate, thus the flag is not explicit coded.
  • the flag is inherited from the reference block referred by motion vector, disparity vector or intra block copy displacement vector.
  • (x, y) be the location of the top-left sample of current block
  • W and H be the width and height of current block
  • (u, v) be the displacement vector
  • the referenced block is located at (x+u, y+v) or (x+W/2+u, y+H/2+v) .
  • the quantization parameter (QP) for chroma component is increased by N when chroma residual prediction is applied.
  • N can be 0, 1, 2, 3, or any other predefined integer numbers.
  • N can also be coded at SPS, VPS, APS or slice header, et al.
  • the proposed residual prediction is applied in CTU (coding tree unit) , LCU (largest coding unit) , CU (coding unit) level, PU (prediction unit) level, or TU (transform unit) level.
  • the flag is signaled at CTU, LCU, CU, PU, sub-PU, or TU level accordingly.
  • the flag is signaled at CU level, but the proposed residual prediction method is applied at CU, PU, TU or sub-PU level.
  • component X and component Z can be selected from any color space, including but not limited to: Y, U, V, Cb, Cr, R, G, B.
  • X is Cb and Z is Y.
  • X is Cr and Z is Y.
  • X is Y and Z is Cb.
  • X is Y and Z is Cr.
  • X is Y and Z is Cb and Cr.
  • the guided cross component prediction method can be applied for different kinds of video format, YUV444, YUV420, YUV422, RGB, BGR, et al.
  • an embodiment of the present invention can be a circuit integrated into a video compression chip or program codes integrated into video compression software to perform the processing described herein.
  • An embodiment of the present invention may also be program codes to be executed on a Digital Signal Processor (DSP) to perform the processing described herein.
  • DSP Digital Signal Processor
  • the invention may also involve a number of functions to be performed by a computer processor, a digital signal processor, a microprocessor, or field programmable gate array (FPGA) .
  • processors can be configured to perform particular tasks according to the invention, by executing machine-readable software code or firmware code that defines the particular methods embodied by the invention.
  • the software code or firmware codes may be developed in different programming languages and different format or style.
  • the software code may also be compiled for different target platform.
  • different code formats, styles and languages of software codes and other means of configuring code to perform the tasks in accordance with the invention will not depart from the spirit and scope of the invention.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

Des méthodes de prédiction de composantes croisées guidée sont proposées. Au lieu de signaler explicitement les paramètres de prédiction de composantes croisées dans un bloc courant, la corrélation de composantes croisées de bloc de prédiction est exploitée pour dériver les paramètres.
PCT/CN2014/089716 2014-10-28 2014-10-28 Prédiction de composantes croisées guidée Ceased WO2016065538A1 (fr)

Priority Applications (9)

Application Number Priority Date Filing Date Title
PCT/CN2014/089716 WO2016065538A1 (fr) 2014-10-28 2014-10-28 Prédiction de composantes croisées guidée
EP15855903.9A EP3198874A4 (fr) 2014-10-28 2015-10-19 Procédé de prédiction de composant transversal guidé pour codage vidéo
KR1020177013692A KR20170071594A (ko) 2014-10-28 2015-10-19 비디오 코딩을 위한 가이드된 크로스-컴포넌트 예측 방법
PCT/CN2015/092168 WO2016066028A1 (fr) 2014-10-28 2015-10-19 Procédé de prédiction de composant transversal guidé pour codage vidéo
CN201580058756.4A CN107079166A (zh) 2014-10-28 2015-10-19 用于视频编码的引导交叉分量预测的方法
CA2964324A CA2964324C (fr) 2014-10-28 2015-10-19 Procede de prediction de composant transversal guide pour codage video
SG11201703014RA SG11201703014RA (en) 2014-10-28 2015-10-19 Method of guided cross-component prediction for video coding
KR1020207012648A KR20200051831A (ko) 2014-10-28 2015-10-19 비디오 코딩을 위한 가이드된 크로스-컴포넌트 예측 방법
US15/519,181 US20170244975A1 (en) 2014-10-28 2015-10-19 Method of Guided Cross-Component Prediction for Video Coding

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2014/089716 WO2016065538A1 (fr) 2014-10-28 2014-10-28 Prédiction de composantes croisées guidée

Publications (1)

Publication Number Publication Date
WO2016065538A1 true WO2016065538A1 (fr) 2016-05-06

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2014/089716 Ceased WO2016065538A1 (fr) 2014-10-28 2014-10-28 Prédiction de composantes croisées guidée

Country Status (1)

Country Link
WO (1) WO2016065538A1 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018009361A1 (fr) * 2016-07-05 2018-01-11 Cisco Technology, Inc. Amélioration de la prédiction dans la compression d'image et de vidéo
CN113273203A (zh) * 2018-12-22 2021-08-17 北京字节跳动网络技术有限公司 两步交叉分量预测模式
WO2024010832A1 (fr) * 2022-07-05 2024-01-11 Beijing Dajia Internet Information Technology Co., Ltd. Procédés et appareil de compensation de mouvement de chrominance à l'aide d'un filtrage à composantes croisées adaptatif
RU2827054C2 (ru) * 2019-03-25 2024-09-23 Гуандун Оппо Мобайл Телекоммьюникейшнс Корп., Лтд. Способ предсказания изображения, кодер, декодер
US12137235B2 (en) 2019-03-25 2024-11-05 Guangdong Oppo Mobile Telecommunications Corp., Ltd. Method for picture prediction, encoder, decoder, and storage medium
WO2024237460A1 (fr) * 2023-05-15 2024-11-21 현대자동차주식회사 Procédé et appareil de prédiction inter-composantes sur la base de signaux de prédiction inter

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1497985A (zh) * 2002-09-30 2004-05-19 ���ǵ�����ʽ���� 图像编码方法和装置以及图像解码方法和装置
CN1543222A (zh) * 2003-11-05 2004-11-03 武汉大学 基于dct空间的多路画面混合方法
CN101568036A (zh) * 2005-10-11 2009-10-28 华为技术有限公司 对空间分层编码视频图像的上采样方法及其系统
CN101883286A (zh) * 2010-06-25 2010-11-10 北京中星微电子有限公司 运动估计中的校准方法及装置、运动估计方法及装置
WO2013113217A1 (fr) * 2012-01-31 2013-08-08 华为技术有限公司 Procédé et dispositif de décodage

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1497985A (zh) * 2002-09-30 2004-05-19 ���ǵ�����ʽ���� 图像编码方法和装置以及图像解码方法和装置
CN1543222A (zh) * 2003-11-05 2004-11-03 武汉大学 基于dct空间的多路画面混合方法
CN101568036A (zh) * 2005-10-11 2009-10-28 华为技术有限公司 对空间分层编码视频图像的上采样方法及其系统
CN101883286A (zh) * 2010-06-25 2010-11-10 北京中星微电子有限公司 运动估计中的校准方法及装置、运动估计方法及装置
WO2013113217A1 (fr) * 2012-01-31 2013-08-08 华为技术有限公司 Procédé et dispositif de décodage

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018009361A1 (fr) * 2016-07-05 2018-01-11 Cisco Technology, Inc. Amélioration de la prédiction dans la compression d'image et de vidéo
CN113273203A (zh) * 2018-12-22 2021-08-17 北京字节跳动网络技术有限公司 两步交叉分量预测模式
CN113273203B (zh) * 2018-12-22 2024-03-12 北京字节跳动网络技术有限公司 两步交叉分量预测模式
US12368875B2 (en) 2018-12-22 2025-07-22 Beijing Bytedance Network Technology Co., Ltd. Two-step cross-component prediction mode
RU2827054C2 (ru) * 2019-03-25 2024-09-23 Гуандун Оппо Мобайл Телекоммьюникейшнс Корп., Лтд. Способ предсказания изображения, кодер, декодер
US12137235B2 (en) 2019-03-25 2024-11-05 Guangdong Oppo Mobile Telecommunications Corp., Ltd. Method for picture prediction, encoder, decoder, and storage medium
WO2024010832A1 (fr) * 2022-07-05 2024-01-11 Beijing Dajia Internet Information Technology Co., Ltd. Procédés et appareil de compensation de mouvement de chrominance à l'aide d'un filtrage à composantes croisées adaptatif
WO2024237460A1 (fr) * 2023-05-15 2024-11-21 현대자동차주식회사 Procédé et appareil de prédiction inter-composantes sur la base de signaux de prédiction inter

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