Lookahead Search-Based Low-Complexity Multi-Type Tree Pruning Method for Versatile Video Coding (VVC) Intra Coding

被引:2
作者
Teng, Qi [1 ,2 ]
Teng, Guowei [1 ,2 ]
LI, Xiang [1 ,2 ]
Ma, Ran [1 ,2 ]
An, Ping [1 ,2 ]
Yang, Zhenglong [3 ]
机构
[1] Shanghai Univ, Shanghai Inst Adv Commun & Data Sci, 333 Nanchen Rd, Shanghai 200444, Peoples R China
[2] Shanghai Univ, Sch Commun & Informat Engn, 333 Nanchen Rd, Shanghai 200444, Peoples R China
[3] Shanghai Univ Engn Sci, 333 Longteng Rd, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金;
关键词
versatile video coding; multi-type tree; intra coding; fast prun-ing method; lookahead search; CU SIZE DECISION; ALGORITHM;
D O I
10.1587/transfun.2022EAP1022
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The latest versatile video coding (VVC) introduces some novel techniques such as quadtree with nested multi-type tree (QTMT), multiple transform selection (MTS) and multiple reference line (MRL). These tools improve compression efficiency compared with the previous standard H.265/HEVC, but they suffer from very high computational com-plexity. One of the most time-consuming parts of VVC intra coding is the coding tree unit (CTU) structure decision. In this paper, we propose a low-complexity multi-type tree (MT) pruning method for VVC intra coding. This method consists of lookahead search and MT pruning. The lookahead search process is performed to derive the approximate rate-distortion (RD) cost of each MT node at depth 2 or 3. Subsequently, the improbable MT nodes are pruned by different strategies under different cost errors. These strategies are designed according to the priority of the node. Experimental results show that the overall proposed algorithm can achieve 47.15% time saving with only 0.93% Bjontegaard delta bit rate (BDBR) increase over natural scene sequences, and 45.39% time saving with 1.55% BDBR in-crease over screen content sequences, compared with the VVC reference software VTM 10.0. Such results demonstrate that our method achieves a good trade-off between computational complexity and compression quality compared to recent methods.
引用
收藏
页码:606 / 615
页数:10
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