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
相关论文
共 50 条
  • [21] Low-complexity QTMT partition based on deep neural network for Versatile Video Coding
    Bouthaina Abdallah
    Fatma Belghith
    Mohamed Ali Ben Ayed
    Nouri Masmoudi
    Signal, Image and Video Processing, 2021, 15 : 1153 - 1160
  • [22] Fast Multi-Type Tree Partition for H.266/VVC Inter Coding
    Ciou, Yi-Sheng
    Chen, Mei-Juan
    Yeh, Chia-Hung
    Lu, Chen-Rung
    Hsieh, Meng-Chun
    Lo, Chen
    2022 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN, IEEE ICCE-TW 2022, 2022, : 471 - 472
  • [23] Low-Complexity CTU Partition Structure Decision and Fast Intra Mode Decision for Versatile Video Coding
    Yang, Hao
    Shen, Liquan
    Dong, Xinchao
    Ding, Qing
    An, Ping
    Jiang, Gangyi
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 30 (06) : 1668 - 1682
  • [24] Fast coding unit decision method based on coding tree pruning for high efficiency video coding
    Choi, Kiho
    Jang, Euee S.
    OPTICAL ENGINEERING, 2012, 51 (03)
  • [25] Low-complexity TTCM based distributed video coding architecture
    Martfnez, J. L.
    Fernando, W. A. C.
    Weerakkody, W. A. R. J.
    Oliver, J.
    Lopez, O.
    Martinez, M.
    Perez, M.
    Cuenca, P.
    Quiles, F.
    ADVANCES IN IMAGE AND VIDEO TECHNOLOGY, PROCEEDINGS, 2007, 4872 : 841 - +
  • [26] An In-loop Filter Based on Low-Complexity CNN Using Residuals in Intra Video Coding
    Li, Daowen
    Yu, Lu
    2019 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2019,
  • [27] Statistical and spatiotemporal correlation based low-complexity video coding for high-efficiency video coding
    Shang, Xiwu
    Wang, Guozhong
    Fan, Tao
    Li, Yan
    JOURNAL OF ELECTRONIC IMAGING, 2015, 24 (02)
  • [28] Statistical and spatiotemporal correlation based low-complexity video coding for high-efficiency video coding
    Shanghai University, School of Communication and Information Engineering, No. 333, Nanchen Road, Baoshan District
    Shanghai
    200444, China
    J. Electron. Imaging, 2
  • [29] A fast Multi-Type-Tree split decision algorithm of intra coding unit in VVC
    Zhang, Shasha
    Zhang, Ronghui
    Jing, Xiaojun
    2022 IEEE INTERNATIONAL SYMPOSIUM ON BROADBAND MULTIMEDIA SYSTEMS AND BROADCASTING (BMSB), 2022,
  • [30] A fast Multi-Type-Tree split decision algorithm of intra coding unit in VVC
    Zhang, Shasha
    Zhang, Ronghui
    Jing, Xiaojun
    IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB, 2022, 2022-June