Textural and Directional Information Based Offset In-Loop Filtering in AVS3

doi:10.1109/TMM.2022.3201747

	Textural and Directional Information Based Offset In-Loop Filtering in AVS3
	Zhang, Jiaqi 1,2; Jian, Yunrui 3; Wang, Suhong 4; Jia, Chuanmin 4; Wang, Shanshe 4,5,6; Ma, Siwei 4,5,6; Gao, Wen 4,5,6
	2023
发表期刊	IEEE TRANSACTIONS ON MULTIMEDIA
ISSN	1520-9210
卷号	25 页码:5957-5971
摘要	In this paper, we propose a novel low-complexity in-loop filtering approach named textural and directional information based offset (TDIO) for the video coding standard AVS3. Different from conventional offset-based filtering methods which partially use contextual samples, the key contribution of TDIO is that it fully utilizes the textural and edge directional features of each sample to comprehensively determine which type of texture characteristics each sample belongs to. The corresponding offsets are generated and signaled to decoder such that sample-level distortion is reduced. Specifically, the multi-directionality and sample-intensity pattern based classifiers are first proposed to extract the directional and textural features, respectively. The classification results are obtained by incorporating these features, and the optimal offset values for each class are derived based on rate-distortion optimization. Since sample-level offset signalling may cause heavy burden to the overhead of TDIO, we subsequently propose a filtering offset sharing mechanism based on historical information between available temporal-adjacent compressed frames. In addition, an iteration-based filter adaptation method is designed to improve the local adaptivity of TDIO for better compression efficiency. Experimental results show that the proposed TDIO achieves 0.64%, 1.29%, 1.86%, and 2.20% bit rate savings for all intra, random access, low delay B, and low delay P configurations, respectively. Moreover, TDIO is helpful to improve subjective quality by leveraging the fine-grained local texture characteristics. It can be observed that the blurring and ringing artifacts could be significantly suppressed by using the proposed method, yielding higher subjective quality.
关键词	AVS3 in-loop filter TDIO textural and directional offset
DOI	10.1109/TMM.2022.3201747
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62031013] ; National Natural Science Foundation of China[62088102] ; National Natural Science Foundation of China[62101007] ; High Performance Computing Platform of Peking University
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号	WOS:001098831500023
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/38064
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Jia, Chuanmin
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Peking Univ, Shenzhen Grad Sch, Sch Elect & Comp Engn, Shenzhen 518055, Peoples R China 4.Peking Univ, Sch Comp Sci, Natl Engn Res Ctr Visual Technol, Beijing 100871, Peoples R China 5.Peking Univ, Informat Technol Res & Dev Innovat Ctr, Shaoxing 312000, Peoples R China 6.Peng Cheng Lab, Shenzhen 518066, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Jiaqi,Jian, Yunrui,Wang, Suhong,et al. Textural and Directional Information Based Offset In-Loop Filtering in AVS3[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2023,25:5957-5971.
APA	Zhang, Jiaqi.,Jian, Yunrui.,Wang, Suhong.,Jia, Chuanmin.,Wang, Shanshe.,...&Gao, Wen.(2023).Textural and Directional Information Based Offset In-Loop Filtering in AVS3.IEEE TRANSACTIONS ON MULTIMEDIA,25,5957-5971.
MLA	Zhang, Jiaqi,et al."Textural and Directional Information Based Offset In-Loop Filtering in AVS3".IEEE TRANSACTIONS ON MULTIMEDIA 25(2023):5957-5971.