The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
최근 새로운 비디오 코딩 표준으로 개발되고 있는 VVC(Versatile Video Coding)에서 크로마 내부 예측 도구로 CCLM(Cross-Component Linear Model)이 채택되었습니다. CCLM은 두 구성 요소 간의 선형 상관 관계를 가정한 선형 모델을 통해 루마 구성 요소로부터 채도 구성 요소를 예측합니다. 선형 모델은 선형 회귀를 통해 현재 코딩 블록의 재구성된 이웃 루마 및 크로마 샘플로부터 파생됩니다. 최근 VVC(VTM) 3.0의 테스트 모델에 채택된 단순화된 선형 모델링 방법은 상당한 코딩 손실로 모델 매개변수를 도출하는 계산 복잡도를 크게 줄입니다. 본 논문에서는 단순화된 선형 모델의 코딩 손실을 보상하기 위한 선형 모델링 방법을 제안합니다. 제안된 방법에서는 기존의 단순화된 선형 모델에서 상당히 대략적으로 도출된 모델 매개변수를 개별적인 방법을 사용하여 보다 정확하게 정제하여 각 매개변수를 도출하였다. 실험 결과, 제안된 방법은 VTM 3.0과 비교하여 All-Intra(AI)에서 Y, Cb 및 Cr 성분에 대해 각각 BD(Bjotegaard-Delta) 비율을 0.08%, 0.52%, 0.55% 절감하는 것으로 나타났습니다. 계산 복잡성이 무시할 만큼 증가하는 구성입니다.
Yong-Uk YOON
Korea Aerospace University
Do-Hyeon PARK
Korea Aerospace University
Jae-Gon KIM
Korea Aerospace University
JVET, VVC, 크로마 인트라 예측, CCLM
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부
Yong-Uk YOON, Do-Hyeon PARK, Jae-Gon KIM, "Enhanced Derivation of Model Parameters for Cross-Component Linear Model (CCLM) in VVC" in IEICE TRANSACTIONS on Information,
vol. E103-D, no. 2, pp. 469-471, February 2020, doi: 10.1587/transinf.2019EDL8045.
Abstract: Cross-component linear model (CCLM) has been recently adopted as a chroma intra-prediction tool in Versatile Video Coding (VVC), which is being developed as a new video coding standard. CCLM predicts chroma components from luma components through a linear model based on assumption of linear correlation between both components. A linear model is derived from the reconstructed neighboring luma and chroma samples of the current coding block by linear regression. A simplified linear modeling method recently adopted in the test model of VVC (VTM) 3.0 significantly reduces computational complexity of deriving model parameters with considerable coding loss. This letter proposes a method of linear modeling to compensate the coding loss of the simplified linear model. In the proposed method, the model parameters which are quite roughly derived in the existing simplified linear model are refined more accurately using individual method to derive each parameter. Experimental results show that, compared to VTM 3.0, the proposed method gives 0.08%, 0.52% and 0.55% Bjotegaard-Delta (BD)-rate savings, for Y, Cb and Cr components, respectively, in the All-Intra (AI) configuration with negligible computational complexity increase.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2019EDL8045/_p
부
@ARTICLE{e103-d_2_469,
author={Yong-Uk YOON, Do-Hyeon PARK, Jae-Gon KIM, },
journal={IEICE TRANSACTIONS on Information},
title={Enhanced Derivation of Model Parameters for Cross-Component Linear Model (CCLM) in VVC},
year={2020},
volume={E103-D},
number={2},
pages={469-471},
abstract={Cross-component linear model (CCLM) has been recently adopted as a chroma intra-prediction tool in Versatile Video Coding (VVC), which is being developed as a new video coding standard. CCLM predicts chroma components from luma components through a linear model based on assumption of linear correlation between both components. A linear model is derived from the reconstructed neighboring luma and chroma samples of the current coding block by linear regression. A simplified linear modeling method recently adopted in the test model of VVC (VTM) 3.0 significantly reduces computational complexity of deriving model parameters with considerable coding loss. This letter proposes a method of linear modeling to compensate the coding loss of the simplified linear model. In the proposed method, the model parameters which are quite roughly derived in the existing simplified linear model are refined more accurately using individual method to derive each parameter. Experimental results show that, compared to VTM 3.0, the proposed method gives 0.08%, 0.52% and 0.55% Bjotegaard-Delta (BD)-rate savings, for Y, Cb and Cr components, respectively, in the All-Intra (AI) configuration with negligible computational complexity increase.},
keywords={},
doi={10.1587/transinf.2019EDL8045},
ISSN={1745-1361},
month={February},}
부
TY - JOUR
TI - Enhanced Derivation of Model Parameters for Cross-Component Linear Model (CCLM) in VVC
T2 - IEICE TRANSACTIONS on Information
SP - 469
EP - 471
AU - Yong-Uk YOON
AU - Do-Hyeon PARK
AU - Jae-Gon KIM
PY - 2020
DO - 10.1587/transinf.2019EDL8045
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E103-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2020
AB - Cross-component linear model (CCLM) has been recently adopted as a chroma intra-prediction tool in Versatile Video Coding (VVC), which is being developed as a new video coding standard. CCLM predicts chroma components from luma components through a linear model based on assumption of linear correlation between both components. A linear model is derived from the reconstructed neighboring luma and chroma samples of the current coding block by linear regression. A simplified linear modeling method recently adopted in the test model of VVC (VTM) 3.0 significantly reduces computational complexity of deriving model parameters with considerable coding loss. This letter proposes a method of linear modeling to compensate the coding loss of the simplified linear model. In the proposed method, the model parameters which are quite roughly derived in the existing simplified linear model are refined more accurately using individual method to derive each parameter. Experimental results show that, compared to VTM 3.0, the proposed method gives 0.08%, 0.52% and 0.55% Bjotegaard-Delta (BD)-rate savings, for Y, Cb and Cr components, respectively, in the All-Intra (AI) configuration with negligible computational complexity increase.
ER -