Fast CU Partition Decision Based on Texture for H.266/VVC

With the development of multimedia equipment and the increasing demand for high-quality video applications, the traditional video coding standard, H.265/High Efficiency Video Coding (HEVC), can no longer effectively satisfy the requirements. To promote the development of high-quality video, a new ge...

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Main Authors: Qiuwen Zhang, Tengyao Cui, Rijian Su
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2021/5527713
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spelling doaj-a794ccd43b764b1a989474f6a3083d182021-07-02T21:09:08ZengHindawi LimitedScientific Programming1875-919X2021-01-01202110.1155/2021/5527713Fast CU Partition Decision Based on Texture for H.266/VVCQiuwen Zhang0Tengyao Cui1Rijian Su2College of Computer and Communication EngineeringCollege of Computer and Communication EngineeringCollege of Computer and Communication EngineeringWith the development of multimedia equipment and the increasing demand for high-quality video applications, the traditional video coding standard, H.265/High Efficiency Video Coding (HEVC), can no longer effectively satisfy the requirements. To promote the development of high-quality video, a new generation video coding standard, H.266/Versatile Video Coding (H.266/VVC), is established, and it is the inheritance and development of H.265/HEVC. It not only retains many mature technologies and methods in HEVC but also adds some new coding tools, such as wide-angle prediction and Multitype Tree (MTT) partition structure. The MTT partition structure brings a more flexible partition method of Coding Unit (CU), but the accompanying increase in computational complexity is unacceptable. In order to ensure an effective balance between coding efficiency and coding quality, a fast CU partition algorithm based on texture is proposed in this paper. First, the texture complexity of the neighboring CU is used as a threshold for evaluating the complexity of the current CU, so as to skip the unpromising depth. Then, the gradient features are extracted to determine whether the Quad-Tree (QT) partition is executed. Finally, the improved Canny operator is used to extract edge features, and the partition mode in the horizontal or vertical direction is excluded. The algorithm was embedded in VTM7.0, and the video sequences with different resolutions were tested under general experimental configuration. Simulation experiment results show that the average time saving of this method reached 50.56% compared with the anchor algorithm. At the same time, the average BDBR is increased by 1.31%.http://dx.doi.org/10.1155/2021/5527713
collection DOAJ
language English
format Article
sources DOAJ
author Qiuwen Zhang
Tengyao Cui
Rijian Su
spellingShingle Qiuwen Zhang
Tengyao Cui
Rijian Su
Fast CU Partition Decision Based on Texture for H.266/VVC
Scientific Programming
author_facet Qiuwen Zhang
Tengyao Cui
Rijian Su
author_sort Qiuwen Zhang
title Fast CU Partition Decision Based on Texture for H.266/VVC
title_short Fast CU Partition Decision Based on Texture for H.266/VVC
title_full Fast CU Partition Decision Based on Texture for H.266/VVC
title_fullStr Fast CU Partition Decision Based on Texture for H.266/VVC
title_full_unstemmed Fast CU Partition Decision Based on Texture for H.266/VVC
title_sort fast cu partition decision based on texture for h.266/vvc
publisher Hindawi Limited
series Scientific Programming
issn 1875-919X
publishDate 2021-01-01
description With the development of multimedia equipment and the increasing demand for high-quality video applications, the traditional video coding standard, H.265/High Efficiency Video Coding (HEVC), can no longer effectively satisfy the requirements. To promote the development of high-quality video, a new generation video coding standard, H.266/Versatile Video Coding (H.266/VVC), is established, and it is the inheritance and development of H.265/HEVC. It not only retains many mature technologies and methods in HEVC but also adds some new coding tools, such as wide-angle prediction and Multitype Tree (MTT) partition structure. The MTT partition structure brings a more flexible partition method of Coding Unit (CU), but the accompanying increase in computational complexity is unacceptable. In order to ensure an effective balance between coding efficiency and coding quality, a fast CU partition algorithm based on texture is proposed in this paper. First, the texture complexity of the neighboring CU is used as a threshold for evaluating the complexity of the current CU, so as to skip the unpromising depth. Then, the gradient features are extracted to determine whether the Quad-Tree (QT) partition is executed. Finally, the improved Canny operator is used to extract edge features, and the partition mode in the horizontal or vertical direction is excluded. The algorithm was embedded in VTM7.0, and the video sequences with different resolutions were tested under general experimental configuration. Simulation experiment results show that the average time saving of this method reached 50.56% compared with the anchor algorithm. At the same time, the average BDBR is increased by 1.31%.
url http://dx.doi.org/10.1155/2021/5527713
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