Extended Quad-Tree Partitioning for Future Video Coding

Meng WANG; Junru LI; Li ZHANG; Kai ZHANG; Hongbin LIU; Shiqi WANG; Sam KWONG; Siwei MA

doi:10.1109/DCC.2019.00038

Extended Quad-Tree Partitioning for Future Video Coding

Meng WANG, Junru LI, Li ZHANG, Kai ZHANG, Hongbin LIU, Shiqi WANG, Sam KWONG, Siwei MA

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

37 Citations (SciVal)

Abstract

The quad-tree plus binary-tree (QTBT) coding unit (CU) partitioning structure, which has been adopted to the next generation video coding standard, shows promising coding performance when compared with the conventional quad-tree structure in HEVC. In this paper, we propose the Extended Quad-tree (EQT) partitioning, which further extends the QTBT scheme and increases the partitioning exibility. More specifcally, EQT splits a parent CU into four sub-CUs of dierent sizes, which can adequately model the local image content that cannot be elaborately characterized with QTBT. Meanwhile, EQT partitioning allows the interleaving with BT partitioning for enhanced adaptability. Experimental results on the JEM7-QTBT-Only platform show that EQT brings better coding performance with 3.17%, 3.20% and 3.06% BD-Rate gains under random access, low-delay P and low-delay B configurations, respectively.

Original language	English
Title of host publication	Proceedings of the 2019 Data Compression Conference
Editors	Michael W. MARCELLIN, Joan SERRA-SAGRISTA, Ali BILGIN, James A. STORER
Publisher	IEEE
Pages	300-309
Number of pages	10
ISBN (Electronic)	9781728106571
ISBN (Print)	9781728106588
DOIs	https://doi.org/10.1109/DCC.2019.00038
Publication status	Published - Mar 2019
Externally published	Yes
Event	2019 Data Compression Conference, DCC 2019 - Snowbird, United States Duration: 26 Mar 2019 → 29 Mar 2019

Conference

Conference	2019 Data Compression Conference, DCC 2019
Country/Territory	United States
City	Snowbird
Period	26/03/19 → 29/03/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Funding

This work was supported in part by the Hong Kong RGC Early Career Scheme under Grant 9048122 (CityU 21211018), in part by the Hong Kong ITF UICP under Grant 9440203, and in part by the City University of Hong Kong under Grant 7200539/CS, which are gratefully acknowledged.

Keywords

CU Partitioning
EQT
Extended quad tree partitioning
Future video coding
QTBT

Access to Document

10.1109/DCC.2019.00038

Cite this

@inproceedings{de893e48118743aaa91a393c37d64605,

title = "Extended Quad-Tree Partitioning for Future Video Coding",

abstract = "The quad-tree plus binary-tree (QTBT) coding unit (CU) partitioning structure, which has been adopted to the next generation video coding standard, shows promising coding performance when compared with the conventional quad-tree structure in HEVC. In this paper, we propose the Extended Quad-tree (EQT) partitioning, which further extends the QTBT scheme and increases the partitioning exibility. More specifcally, EQT splits a parent CU into four sub-CUs of dierent sizes, which can adequately model the local image content that cannot be elaborately characterized with QTBT. Meanwhile, EQT partitioning allows the interleaving with BT partitioning for enhanced adaptability. Experimental results on the JEM7-QTBT-Only platform show that EQT brings better coding performance with 3.17%, 3.20% and 3.06% BD-Rate gains under random access, low-delay P and low-delay B configurations, respectively.",

keywords = "CU Partitioning, EQT, Extended quad tree partitioning, Future video coding, QTBT",

author = "Meng WANG and Junru LI and Li ZHANG and Kai ZHANG and Hongbin LIU and Shiqi WANG and Sam KWONG and Siwei MA",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Data Compression Conference, DCC 2019 ; Conference date: 26-03-2019 Through 29-03-2019",

year = "2019",

month = mar,

doi = "10.1109/DCC.2019.00038",

language = "English",

isbn = "9781728106588",

pages = "300--309",

editor = "MARCELLIN, {Michael W.} and Joan SERRA-SAGRISTA and Ali BILGIN and STORER, {James A.}",

booktitle = "Proceedings of the 2019 Data Compression Conference",

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}

WANG, M, LI, J, ZHANG, L, ZHANG, K, LIU, H, WANG, S, KWONG, S & MA, S 2019, Extended Quad-Tree Partitioning for Future Video Coding. in MW MARCELLIN, J SERRA-SAGRISTA, A BILGIN & JA STORER (eds), Proceedings of the 2019 Data Compression Conference ., 8712764, IEEE, pp. 300-309, 2019 Data Compression Conference, DCC 2019, Snowbird, United States, 26/03/19. https://doi.org/10.1109/DCC.2019.00038

Extended Quad-Tree Partitioning for Future Video Coding. / WANG, Meng; LI, Junru; ZHANG, Li et al.
Proceedings of the 2019 Data Compression Conference . ed. / Michael W. MARCELLIN; Joan SERRA-SAGRISTA; Ali BILGIN; James A. STORER. IEEE, 2019. p. 300-309 8712764.

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

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Extended Quad-Tree Partitioning for Future Video Coding

Abstract

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Keywords

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