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".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
A previsão de cromaticidade do modelo linear de componentes cruzados (CCLM) é uma nova técnica introduzida na Versatile Video Coding (VVC), que utiliza o componente de luminância reconstruído para prever as partes de cromaticidade e pode melhorar o desempenho da codificação. No entanto, aumenta a complexidade da codificação. Neste artigo, estuda-se como acelerar o processo de intra-predição de croma com base nas características da textura. Primeiramente, duas observações foram encontradas através de estatísticas experimentais para o processo. Uma é que a escolha dos modos candidatos de intra-predição de croma está intimamente relacionada à complexidade de textura da unidade de codificação (CU), e a outra é que o fato de o modo direto (DM) ser selecionado está intimamente relacionado à semelhança de textura entre cromaticidade atual CU e a luminância correspondente CU. Em segundo lugar, um algoritmo de decisão no modo intra-predição de croma rápido é proposto com base nessas observações. Uma métrica modificada chamada soma módulo diferença (SMD) é introduzida para medir a complexidade da textura do CU e orientar a filtragem dos modos candidatos irrelevantes. Enquanto isso, a medição do índice de similaridade estrutural (SSIM) é adotada para ajudar a julgar a seleção do modo DM. Os resultados experimentais mostram que, comparado com o modelo de referência VTM8.0, o algoritmo proposto pode reduzir o tempo de codificação em 12.92% em média e aumentar a taxa BD dos componentes Y, U e V em apenas 0.05%, 0.32%, e 0.29% respectivamente.
Zhi LIU
North China University of Technology
Yifan SU
North China University of Technology
Shuzhong YANG
China Academy of Railway Sciences Corporation Limited
Mengmeng ZHANG
North China University of Technology,Beijing Polytechnic College
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Zhi LIU, Yifan SU, Shuzhong YANG, Mengmeng ZHANG, "A Fast Chroma Intra-Prediction Mode Decision Algorithm Based on Texture Characteristics for VVC" in IEICE TRANSACTIONS on Information,
vol. E104-D, no. 5, pp. 781-784, May 2021, doi: 10.1587/transinf.2020EDL8140.
Abstract: Cross-component linear model (CCLM) chromaticity prediction is a new technique introduced in Versatile Video Coding (VVC), which utilizes the reconstructed luminance component to predict the chromaticity parts, and can improve the coding performance. However, it increases the coding complexity. In this paper, how to accelerate the chroma intra-prediction process is studied based on texture characteristics. Firstly, two observations have been found through experimental statistics for the process. One is that the choice of the chroma intra-prediction candidate modes is closely related to the texture complexity of the coding unit (CU), and the other is that whether the direct mode (DM) is selected is closely related to the texture similarity between current chromaticity CU and the corresponding luminance CU. Secondly, a fast chroma intra-prediction mode decision algorithm is proposed based on these observations. A modified metric named sum modulus difference (SMD) is introduced to measure the texture complexity of CU and guide the filtering of the irrelevant candidate modes. Meanwhile, the structural similarity index measurement (SSIM) is adopted to help judging the selection of the DM mode. The experimental results show that compared with the reference model VTM8.0, the proposed algorithm can reduce the coding time by 12.92% on average, and increases the BD-rate of Y, U, and V components by only 0.05%, 0.32%, and 0.29% respectively.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2020EDL8140/_p
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@ARTICLE{e104-d_5_781,
author={Zhi LIU, Yifan SU, Shuzhong YANG, Mengmeng ZHANG, },
journal={IEICE TRANSACTIONS on Information},
title={A Fast Chroma Intra-Prediction Mode Decision Algorithm Based on Texture Characteristics for VVC},
year={2021},
volume={E104-D},
number={5},
pages={781-784},
abstract={Cross-component linear model (CCLM) chromaticity prediction is a new technique introduced in Versatile Video Coding (VVC), which utilizes the reconstructed luminance component to predict the chromaticity parts, and can improve the coding performance. However, it increases the coding complexity. In this paper, how to accelerate the chroma intra-prediction process is studied based on texture characteristics. Firstly, two observations have been found through experimental statistics for the process. One is that the choice of the chroma intra-prediction candidate modes is closely related to the texture complexity of the coding unit (CU), and the other is that whether the direct mode (DM) is selected is closely related to the texture similarity between current chromaticity CU and the corresponding luminance CU. Secondly, a fast chroma intra-prediction mode decision algorithm is proposed based on these observations. A modified metric named sum modulus difference (SMD) is introduced to measure the texture complexity of CU and guide the filtering of the irrelevant candidate modes. Meanwhile, the structural similarity index measurement (SSIM) is adopted to help judging the selection of the DM mode. The experimental results show that compared with the reference model VTM8.0, the proposed algorithm can reduce the coding time by 12.92% on average, and increases the BD-rate of Y, U, and V components by only 0.05%, 0.32%, and 0.29% respectively.},
keywords={},
doi={10.1587/transinf.2020EDL8140},
ISSN={1745-1361},
month={May},}
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TY - JOUR
TI - A Fast Chroma Intra-Prediction Mode Decision Algorithm Based on Texture Characteristics for VVC
T2 - IEICE TRANSACTIONS on Information
SP - 781
EP - 784
AU - Zhi LIU
AU - Yifan SU
AU - Shuzhong YANG
AU - Mengmeng ZHANG
PY - 2021
DO - 10.1587/transinf.2020EDL8140
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E104-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2021
AB - Cross-component linear model (CCLM) chromaticity prediction is a new technique introduced in Versatile Video Coding (VVC), which utilizes the reconstructed luminance component to predict the chromaticity parts, and can improve the coding performance. However, it increases the coding complexity. In this paper, how to accelerate the chroma intra-prediction process is studied based on texture characteristics. Firstly, two observations have been found through experimental statistics for the process. One is that the choice of the chroma intra-prediction candidate modes is closely related to the texture complexity of the coding unit (CU), and the other is that whether the direct mode (DM) is selected is closely related to the texture similarity between current chromaticity CU and the corresponding luminance CU. Secondly, a fast chroma intra-prediction mode decision algorithm is proposed based on these observations. A modified metric named sum modulus difference (SMD) is introduced to measure the texture complexity of CU and guide the filtering of the irrelevant candidate modes. Meanwhile, the structural similarity index measurement (SSIM) is adopted to help judging the selection of the DM mode. The experimental results show that compared with the reference model VTM8.0, the proposed algorithm can reduce the coding time by 12.92% on average, and increases the BD-rate of Y, U, and V components by only 0.05%, 0.32%, and 0.29% respectively.
ER -