Texture-Based Fast CU Size Decision and Intra Mode Decision Algorithm for VVC

Cao, Jian; Tang, Na; Wang, Jun; Li, Fan

doi:10.1007/978-3-030-37731-1_60

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…It has been explored in many ways in order to accelerate the encoding decisions. For example, in [13] the number of candidates for the QTMT structure and the intra-mode decision are reduced according to texture characteristics. Basically, gradient difference is used to skip unlikely splits.…”

Section: Related Workmentioning

confidence: 99%

Multitask Learning Based Intra-Mode Decision Framework for Versatile Video Coding

et al. 2022

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In mid-2020, the new international video coding standard, namely versatile video coding (VVC), was officially released by the Joint Video Expert Team (JVET). As its name indicates, the VVC enables a higher level of versatility with better compression performance compared to its predecessor, high-efficiency video coding (HEVC). VVC introduces several new coding tools like multiple reference lines (MRL) and matrix-weighted intra-prediction (MIP), along with several improvements on the block-based hybrid video coding scheme such as quatree with nested multi-type tree (QTMT) and finer-granularity intra-prediction modes (IPMs). Because finding the best encoding decisions is usually preceded by optimizing the rate distortion (RD) cost, introducing new coding tools or enhancing existing ones requires additional computations. In fact, the VVC is 31 times more complex than the HEVC. Therefore, this paper aims to reduce the computational complexity of the VVC. It establishes a large database for intra-prediction and proposes a multitask learning (MTL)-based intra-mode decision framework. Experimental results show that our proposal enables up to 30% of complexity reduction while slightly increasing the Bjontegaard bit rate (BD-BR).

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Section: Related Workmentioning

confidence: 99%

Multitask Learning Based Intra-Mode Decision Framework for Versatile Video Coding

et al. 2022

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“…It considered different combinations of the three key levels of the exhaustive Rate-Distortion (RD) search: block partitioning, intra prediction and transform selection. In addition, other works [12], [13] and [14] proposed fast intra mode decision algorithms based on in-depth analyses of this coding step. For instance, authors in [12] and [14] studied the correlation between the texture information of Coding Unit (CU) and the best intra mode.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, other works [12], [13] and [14] proposed fast intra mode decision algorithms based on in-depth analyses of this coding step. For instance, authors in [12] and [14] studied the correlation between the texture information of Coding Unit (CU) and the best intra mode. Whereas, in [13] authors identified the relationship between the best mode in Rough Mode Decision (RMD) and the Most Probable Modes (MPMs).…”

Section: Introductionmentioning

confidence: 99%

Complexity assessment of the intra prediction in Versatile Video Coding

Zouidi

Kessentini²,

Hamidouche

et al. 2023

Multimed Tools Appl

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The Versatile Video Coding (VVC) was finalized in July 2020 by the Joint Video Experts Team (JVET). During the standardization process, many coding techniques were investigated in order to provide superior coding efficiency with high level of versatility over the High Efficiency Video Coding (HEVC). Indeed, VVC achieved about 40% of bitrate saving compared to its predecessor for the same objective visual quality. However, its encoding complexity has considerably increased due to the exhaustive Rate-Distortion (RD) search. In this paper, a complexity assessment of the intra mode decision of VVC is presented. Experimental results reveal that the intra coding tools and the steps of intra mode decision have various degrees of complexity. Thus, opening up several complexity reduc-

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A support vector machine based fast planar prediction mode decision algorithm for versatile video coding

Yao

Wang

et al. 2022

Multimed Tools Appl

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Texture-Based Fast CU Size Decision and Intra Mode Decision Algorithm for VVC

Cited by 9 publications

References 11 publications

Multitask Learning Based Intra-Mode Decision Framework for Versatile Video Coding

Multitask Learning Based Intra-Mode Decision Framework for Versatile Video Coding

Complexity assessment of the intra prediction in Versatile Video Coding

A support vector machine based fast planar prediction mode decision algorithm for versatile video coding

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