Fast Coding Mode Decision for Intra Prediction in VVC SCC

IF 4.8 1区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Transactions on Broadcasting Pub Date : 2025-03-29 DOI:10.1109/TBC.2025.3541773

Dayong Wang;Weihong Liu;Zeyu Zhou;Xin Lu;Jinhua Liu;Hui Guo;Ce Zhu

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引用次数: 0

Abstract

Currently, screen content video applications are widely used in our daily lives. As the latest Screen Content Coding (SCC) standard, Versatile Video Coding (VVC) SCC employs a quad-tree plus nested multi-type tree (QTMT) coding structure and various screen content coding modes (CMs). This design enhances the coding efficiency of VVC SCC but also results in a highly complex coding process, which significantly hinders the broader adoption of screen content video technology. Consequently, improving the coding speed of VVC SCC is highly desirable. In this paper, we propose a fast CM and transform decision algorithm for Intra prediction in VVC SCC. Specifically, we initially use Convolutional Neural Networks (CNNs) to predict content types for all Coding Units (CUs). Subsequently, we predict candidate CMs for CUs based on the CM distributions of different content types. We then select the Sum of Absolute Transformed Difference (SATD) as a feature and use a naive Bayes classifier to skip unlikely Intra mode early. Finally, we terminate Block-based Differential Pulse-Code Modulation (BDPCM) early and then select the best transform type in Intra mode prediction to improve coding speed. Experimental results demonstrate that the proposed algorithm improves coding speed by an average of 39.28%, with the BDBR increasing by 0.80%.

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基于VVC SCC的帧内预测快速编码模式决策

目前，屏幕内容视频应用广泛应用于我们的日常生活中。多功能视频编码（VVC）是最新的屏幕内容编码（SCC）标准，采用四叉树加嵌套多类型树（QTMT）编码结构和多种屏幕内容编码模式（CMs）。本设计提高了VVC SCC的编码效率，但也导致编码过程非常复杂，严重阻碍了屏幕内容视频技术的广泛采用。因此，提高VVC SCC的编码速度是非常必要的。在本文中，我们提出了一种快速CM和变换决策算法，用于VVC SCC中的Intra预测。具体来说，我们最初使用卷积神经网络（cnn）来预测所有编码单元（CUs）的内容类型。随后，我们根据不同内容类型的CM分布预测了cu的候选CM。然后，我们选择绝对变换差的和（SATD）作为特征，并使用朴素贝叶斯分类器提前跳过不可能的Intra模式。最后，我们提前终止基于块的差分脉冲编码调制（BDPCM），然后在模内预测中选择最佳变换类型以提高编码速度。实验结果表明，该算法平均提高了39.28%的编码速度，BDBR提高了0.80%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Broadcasting 工程技术-电信学

CiteScore

9.40

自引率

31.10%

发文量

审稿时长

6-12 weeks

期刊介绍： The Society’s Field of Interest is “Devices, equipment, techniques and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.” In addition to this formal FOI statement, which is used to provide guidance to the Publications Committee in the selection of content, the AdCom has further resolved that “broadcast systems includes all aspects of transmission, propagation, and reception.”