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
GPM(Geometric Partitioning Mode)은 영상 전문가 공동팀이 2020년에 개발한 국제 표준의 최신 영상 코딩인 VVC(Versable Video Coding)에 채택된 새로운 인터 예측 도구이다. 직사각형 블록을 대상으로 수행되는 일반적인 인터 예측과 달리, GPM은 미리 정의된 64가지 직선에 의해 코딩 블록을 두 개의 영역으로 분리하고, 분리된 각 영역에 대해 인터 예측 샘플을 생성한 후 이를 혼합하여 최종 인터 예측 샘플을 얻습니다. 이 기능을 통해 GPM은 움직임이 다른 전경과 배경 경계의 예측 정확도를 향상시킵니다. 그러나 GPM은 인터 예측뿐만 아니라 인트라 예측을 이용하여 최종 예측 샘플을 생성할 수 있다면 예측 정확도를 더욱 향상시킬 여지가 있다. 본 논문에서는 VVC 이상의 압축 성능을 더욱 향상시키기 위해 인터 및 인트라 예측이 가능한 GPM을 제안합니다. 제안 방법의 코딩 성능을 극대화하기 위해 적용 가능한 인트라 예측 모드 수를 제한하고 GPM으로 구분된 두 영역 모두에 인트라 예측을 적용하는 것을 금지하는 것을 제안한다. 실험 결과, 제안하는 방법은 기존 VVC의 GPM 방식에 비해 코딩 성능 이득을 1.3배 향상시켰으며, 저지연 영상 전송을 위한 코딩 구조 중 하나에서 비트율 1% 절감이라는 추가적인 코딩 성능 이득을 제공하는 것으로 나타났다. 기존의 GPM 방식은 사용할 수 없습니다.
Yoshitaka KIDANI
KDDI Research, Inc.,Waseda University
Haruhisa KATO
KDDI Research, Inc.
Kei KAWAMURA
KDDI Research, Inc.
Hiroshi WATANABE
Waseda University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
Yoshitaka KIDANI, Haruhisa KATO, Kei KAWAMURA, Hiroshi WATANABE, "Geometric Partitioning Mode with Inter and Intra Prediction for Beyond Versatile Video Coding" in IEICE TRANSACTIONS on Information,
vol. E105-D, no. 10, pp. 1691-1703, October 2022, doi: 10.1587/transinf.2022PCP0005.
Abstract: Geometric partitioning mode (GPM) is a new inter prediction tool adopted in versatile video coding (VVC), which is the latest video coding of international standard developed by joint video expert team in 2020. Different from the regular inter prediction performed on rectangular blocks, GPM separates a coding block into two regions by the pre-defined 64 types of straight lines, generates inter predicted samples for each separated region, and then blends them to obtain the final inter predicted samples. With this feature, GPM improves the prediction accuracy at the boundary between the foreground and background with different motions. However, GPM has room to further improve the prediction accuracy if the final predicted samples can be generated using not only inter prediction but also intra prediction. In this paper, we propose a GPM with inter and intra prediction to achieve further enhanced compression capability beyond VVC. To maximize the coding performance of the proposed method, we also propose the restriction of the applicable intra prediction mode number and the prohibition of applying the intra prediction to both GPM-separated regions. The experimental results show that the proposed method improves the coding performance gain by the conventional GPM method of VVC by 1.3 times, and provides an additional coding performance gain of 1% bitrate savings in one of the coding structures for low-latency video transmission where the conventional GPM method cannot be utilized.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2022PCP0005/_p
부
@ARTICLE{e105-d_10_1691,
author={Yoshitaka KIDANI, Haruhisa KATO, Kei KAWAMURA, Hiroshi WATANABE, },
journal={IEICE TRANSACTIONS on Information},
title={Geometric Partitioning Mode with Inter and Intra Prediction for Beyond Versatile Video Coding},
year={2022},
volume={E105-D},
number={10},
pages={1691-1703},
abstract={Geometric partitioning mode (GPM) is a new inter prediction tool adopted in versatile video coding (VVC), which is the latest video coding of international standard developed by joint video expert team in 2020. Different from the regular inter prediction performed on rectangular blocks, GPM separates a coding block into two regions by the pre-defined 64 types of straight lines, generates inter predicted samples for each separated region, and then blends them to obtain the final inter predicted samples. With this feature, GPM improves the prediction accuracy at the boundary between the foreground and background with different motions. However, GPM has room to further improve the prediction accuracy if the final predicted samples can be generated using not only inter prediction but also intra prediction. In this paper, we propose a GPM with inter and intra prediction to achieve further enhanced compression capability beyond VVC. To maximize the coding performance of the proposed method, we also propose the restriction of the applicable intra prediction mode number and the prohibition of applying the intra prediction to both GPM-separated regions. The experimental results show that the proposed method improves the coding performance gain by the conventional GPM method of VVC by 1.3 times, and provides an additional coding performance gain of 1% bitrate savings in one of the coding structures for low-latency video transmission where the conventional GPM method cannot be utilized.},
keywords={},
doi={10.1587/transinf.2022PCP0005},
ISSN={1745-1361},
month={October},}
부
TY - JOUR
TI - Geometric Partitioning Mode with Inter and Intra Prediction for Beyond Versatile Video Coding
T2 - IEICE TRANSACTIONS on Information
SP - 1691
EP - 1703
AU - Yoshitaka KIDANI
AU - Haruhisa KATO
AU - Kei KAWAMURA
AU - Hiroshi WATANABE
PY - 2022
DO - 10.1587/transinf.2022PCP0005
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E105-D
IS - 10
JA - IEICE TRANSACTIONS on Information
Y1 - October 2022
AB - Geometric partitioning mode (GPM) is a new inter prediction tool adopted in versatile video coding (VVC), which is the latest video coding of international standard developed by joint video expert team in 2020. Different from the regular inter prediction performed on rectangular blocks, GPM separates a coding block into two regions by the pre-defined 64 types of straight lines, generates inter predicted samples for each separated region, and then blends them to obtain the final inter predicted samples. With this feature, GPM improves the prediction accuracy at the boundary between the foreground and background with different motions. However, GPM has room to further improve the prediction accuracy if the final predicted samples can be generated using not only inter prediction but also intra prediction. In this paper, we propose a GPM with inter and intra prediction to achieve further enhanced compression capability beyond VVC. To maximize the coding performance of the proposed method, we also propose the restriction of the applicable intra prediction mode number and the prohibition of applying the intra prediction to both GPM-separated regions. The experimental results show that the proposed method improves the coding performance gain by the conventional GPM method of VVC by 1.3 times, and provides an additional coding performance gain of 1% bitrate savings in one of the coding structures for low-latency video transmission where the conventional GPM method cannot be utilized.
ER -