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Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding
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DOI：10.1109/ACCESS.2023.3327519.png)
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摘要
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The latest video standard -Versatile Video Coding Standard (VVC/H.266) has been standardized and officially entered into force. Compared with the High Efficiency Video Coding (HEVC/H.265), owing to the introduction of the Quad-tree with Nested Multi-type Tree (QTMT) division mode, the encoder can choose a more detailed division type when dividing the Coding unit (CU), thereby improving the coding performance. However, when the CU selects the division type, it needs to traverse all possible division types and compute the Rate-distortion (RD) cost, which greatly enhances the coding complexity. Therefore, this paper designs a Joint Random Forest Classifier (JRFC) to make decisions on CU partition types, and proposes fast adaptive CU partition decision algorithm for VVC intra coding combined with our previous work. The algorithm has the capability to make partition decisions for CUs of diverse sizes (smaller than 32 x 32) and completely bypass the intricate process of Rate-distortion Optimization (RDO), resulting in a significant reduction in encoding time. The experimental results demonstrate that, in comparison to the basic approach utilized in VTM10.0, the algorithm proposed in this paper reduces the encoding time by 57.27% on average, with only a marginal increase of 1.53% in Bjontegaard delta bit rate (BDBR).
Keyword:
VVC
QTMT
JRFC
feature extraction
fast CU partition algorithm
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
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引用论文
分享收藏DeepQTMT: A Deep Learning Approach for Fast QTMT-Based CU Partition of Intra-Mode VVCDeepQTMT: 一种基于QTMT的帧内模式VVC CU快速划分的深度学习方法
OAAI
OAAI分享收藏Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC).png)
PROCEEDINGS OF THE IEEEOAAI
PROCEEDINGS OF THE IEEEIF25.9
OAAI分享收藏Efficient Partition Decision Based on Visual Perception and Machine Learning for H.266/Versatile Video CodingIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
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