Revisiting local texture correlation for rate-distortion optimized intra coding

Meng WANG; Junru LI; Li ZHANG; Hongbin LIU; Jizheng XU; Shiqi WANG

doi:10.1109/DCC47342.2020.00035

Revisiting local texture correlation for rate-distortion optimized intra coding

Meng WANG, Junru LI, Li ZHANG, Hongbin LIU, Jizheng XU, Shiqi WANG

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

1 Citation (Scopus)

Abstract

In this paper, we focus on computationally modeling of the local texture correlations, in an effort to better explore the coding modes with higher priorities in the rate-distortion optimized intra coding. In particular, strong correlations and continuities of local texture with neighboring blocks have been revealed in our analysis, and empirical justifications provide us inspirations on the joint optimization of rate-distortion-complexity when angular modes become finer to adapt the local textures. We examine the philosophy with extensive experiments conducted for refining the intra full-RD list. The results show that better coding performance with on average 0.72% and 3.00% BD-Rate savings for the natural scene and screen content sequences can be achieved in AVS3 test model HPM-5.0 under all intra configuration, with negligible encoding and decoding time variations.

Original language	English
Title of host publication	Proceedings : DCC 2020 : Data Compression Conference
Editors	Ali BILGIN, Michael W. MARCELLIN, Joan SERRA-SAGRISTA, James A. STORER
Publisher	IEEE
Pages	273-282
Number of pages	10
ISBN (Electronic)	9781728164571
DOIs	https://doi.org/10.1109/DCC47342.2020.00035
Publication status	Published - Mar 2020
Externally published	Yes
Event	2020 Data Compression Conference, DCC 2020 - Snowbird, United States Duration: 24 Mar 2020 → 27 Mar 2020

Publication series

Name	Data Compression Conference Proceedings
Volume	2020-March
ISSN (Print)	1068-0314

Conference

Conference	2020 Data Compression Conference, DCC 2020
Country/Territory	United States
City	Snowbird
Period	24/03/20 → 27/03/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Funding

This work was supported in part by Hong Kong ITF UICP under Grant 9440203, in part by the Hong Kong RGC Early Career Scheme under Grant 9048122 (CityU 21211018), and in part by the City University of Hong Kong Applied Research Grant under Grant 9667192. This work was done while the author was a research intern in ByteDance Inc.

Keywords

AVS3
Intra
RDO

Access to Document

10.1109/DCC47342.2020.00035

Cite this

WANG, M., LI, J., ZHANG, L., LIU, H., XU, J., & WANG, S. (2020). Revisiting local texture correlation for rate-distortion optimized intra coding. In A. BILGIN, M. W. MARCELLIN, J. SERRA-SAGRISTA, & J. A. STORER (Eds.), Proceedings : DCC 2020 : Data Compression Conference (pp. 273-282). Article 9105869 (Data Compression Conference Proceedings; Vol. 2020-March). IEEE. https://doi.org/10.1109/DCC47342.2020.00035

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title = "Revisiting local texture correlation for rate-distortion optimized intra coding",

abstract = "In this paper, we focus on computationally modeling of the local texture correlations, in an effort to better explore the coding modes with higher priorities in the rate-distortion optimized intra coding. In particular, strong correlations and continuities of local texture with neighboring blocks have been revealed in our analysis, and empirical justifications provide us inspirations on the joint optimization of rate-distortion-complexity when angular modes become finer to adapt the local textures. We examine the philosophy with extensive experiments conducted for refining the intra full-RD list. The results show that better coding performance with on average 0.72% and 3.00% BD-Rate savings for the natural scene and screen content sequences can be achieved in AVS3 test model HPM-5.0 under all intra configuration, with negligible encoding and decoding time variations.",

keywords = "AVS3, Intra, RDO",

author = "Meng WANG and Junru LI and Li ZHANG and Hongbin LIU and Jizheng XU and Shiqi WANG",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Data Compression Conference, DCC 2020 ; Conference date: 24-03-2020 Through 27-03-2020",

year = "2020",

month = mar,

doi = "10.1109/DCC47342.2020.00035",

language = "English",

series = "Data Compression Conference Proceedings",

publisher = "IEEE",

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}

WANG, M, LI, J, ZHANG, L, LIU, H, XU, J & WANG, S 2020, Revisiting local texture correlation for rate-distortion optimized intra coding. in A BILGIN, MW MARCELLIN, J SERRA-SAGRISTA & JA STORER (eds), Proceedings : DCC 2020 : Data Compression Conference., 9105869, Data Compression Conference Proceedings, vol. 2020-March, IEEE, pp. 273-282, 2020 Data Compression Conference, DCC 2020, Snowbird, United States, 24/03/20. https://doi.org/10.1109/DCC47342.2020.00035

Revisiting local texture correlation for rate-distortion optimized intra coding. / WANG, Meng; LI, Junru; ZHANG, Li et al.
Proceedings : DCC 2020 : Data Compression Conference. ed. / Ali BILGIN; Michael W. MARCELLIN; Joan SERRA-SAGRISTA; James A. STORER. IEEE, 2020. p. 273-282 9105869 (Data Compression Conference Proceedings; Vol. 2020-March).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AU - LI, Junru

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AU - LIU, Hongbin

AU - XU, Jizheng

AU - WANG, Shiqi

PY - 2020/3

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AB - In this paper, we focus on computationally modeling of the local texture correlations, in an effort to better explore the coding modes with higher priorities in the rate-distortion optimized intra coding. In particular, strong correlations and continuities of local texture with neighboring blocks have been revealed in our analysis, and empirical justifications provide us inspirations on the joint optimization of rate-distortion-complexity when angular modes become finer to adapt the local textures. We examine the philosophy with extensive experiments conducted for refining the intra full-RD list. The results show that better coding performance with on average 0.72% and 3.00% BD-Rate savings for the natural scene and screen content sequences can be achieved in AVS3 test model HPM-5.0 under all intra configuration, with negligible encoding and decoding time variations.

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Revisiting local texture correlation for rate-distortion optimized intra coding

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Keywords

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