Title: Novel video coding methods for versatile video coding

Authors: Heeji Han; Daehyeok Gwon; Jaeryun Choe; Haechul Choi

Addresses: Hanbat National University (HNU), 125, Dongseo-daero, Yuseong-gu, Daejeon, South Korea ' Hanbat National University (HNU), 125, Dongseo-daero, Yuseong-gu, Daejeon, South Korea ' Hanbat National University (HNU), 125, Dongseo-daero, Yuseong-gu, Daejeon, South Korea ' Hanbat National University (HNU), 125, Dongseo-daero, Yuseong-gu, Daejeon, South Korea

Abstract: Versatile video coding (VVC), which is the next generation video coding standard, is being developed to provide greater coding efficiency than existing video coding standards. In VVC, various coding tools related to intra and inter prediction modes have been adopted. This paper introduces several methods that improve coding efficiency or reduce computational complexity on top of VVC adopted tools. The first method enhances the most probable mode list derivation with the statistics of the intra modes of neighbouring blocks. The second method reduces the number of contexts of the merge with motion vector difference mode. The third method excludes invalid block vector predictors early for the intra block copy mode to improve block vector coding. The experimental results show that the three proposed methods show coding efficiencies of −0.05% for all intra coding, −0.02% for random access, and −0.14% for random access coding scenarios, respectively.

Keywords: versatile video coding; VVC; intra prediction; inter prediction; most probable mode; MPM; intra block copy; IBC.

DOI: 10.1504/IJCVR.2021.10040489

International Journal of Computational Vision and Robotics, 2021 Vol.11 No.5, pp.526 - 541

Received: 23 Nov 2019
Accepted: 13 May 2020

Published online: 19 Aug 2021 *

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