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
Mod pembahagian geometri (GPM) ialah alat ramalan antara baharu yang diguna pakai dalam pengekodan video serba boleh (VVC), iaitu pengekodan video terbaharu standard antarabangsa yang dibangunkan oleh pasukan pakar video bersama pada tahun 2020. Berbeza daripada ramalan antara biasa yang dilakukan pada blok segi empat tepat, GPM mengasingkan blok pengekodan kepada dua wilayah dengan 64 jenis garis lurus yang telah ditetapkan, menjana sampel ramalan antara untuk setiap wilayah yang dipisahkan, dan kemudian menggabungkannya untuk mendapatkan sampel ramalan antara akhir. Dengan ciri ini, GPM meningkatkan ketepatan ramalan pada sempadan antara latar depan dan latar belakang dengan gerakan yang berbeza. Walau bagaimanapun, GPM mempunyai ruang untuk meningkatkan lagi ketepatan ramalan jika sampel ramalan akhir boleh dijana menggunakan bukan sahaja ramalan antara tetapi juga ramalan intra. Dalam kertas ini, kami mencadangkan GPM dengan ramalan antara dan intra untuk mencapai keupayaan mampatan yang dipertingkatkan lagi melebihi VVC. Untuk memaksimumkan prestasi pengekodan kaedah yang dicadangkan, kami juga mencadangkan sekatan nombor mod ramalan intra yang berkenaan dan larangan menggunakan ramalan intra pada kedua-dua wilayah yang dipisahkan oleh GPM. Keputusan eksperimen menunjukkan bahawa kaedah yang dicadangkan meningkatkan keuntungan prestasi pengekodan oleh kaedah GPM konvensional VVC sebanyak 1.3 kali, dan memberikan keuntungan prestasi pengekodan tambahan sebanyak 1% penjimatan kadar bit dalam salah satu struktur pengekodan untuk penghantaran video kependaman rendah di mana kaedah GPM konvensional tidak boleh digunakan.
Yoshitaka KIDANI
KDDI Research, Inc.,Waseda University
Haruhisa KATO
KDDI Research, Inc.
Kei KAWAMURA
KDDI Research, Inc.
Hiroshi WATANABE
Waseda University
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Salinan
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
Salinan
@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},}
Salinan
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 -