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

32 Citations (Scopus)

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 flexibility. More specifically, EQT splits a parent CU into four sub-CUs of different 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
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

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

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10.1109/DCC.2019.00038

Cite this

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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 flexibility. More specifically, EQT splits a parent CU into four sub-CUs of different 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 = "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.; 2019 Data Compression Conference, DCC 2019 ; Conference date: 26-03-2019 Through 29-03-2019",

year = "2019",

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doi = "10.1109/DCC.2019.00038",

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AU - ZHANG, Kai

AU - LIU, Hongbin

AU - WANG, Shiqi

AU - KWONG, Sam

AU - MA, Siwei

N1 - 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.

PY - 2019/3

Y1 - 2019/3

N2 - 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 flexibility. More specifically, EQT splits a parent CU into four sub-CUs of different 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.

AB - 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 flexibility. More specifically, EQT splits a parent CU into four sub-CUs of different 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.

KW - CU Partitioning

KW - EQT

KW - Extended quad tree partitioning

KW - Future video coding

KW - QTBT

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DO - 10.1109/DCC.2019.00038

M3 - Conference paper (refereed)

SN - 9781728106588

SP - 300

EP - 309

BT - Proceedings of the 2019 Data Compression Conference

PB - IEEE

T2 - 2019 Data Compression Conference, DCC 2019

Y2 - 26 March 2019 through 29 March 2019

ER -

Extended Quad-Tree Partitioning for Future Video Coding

Abstract

Conference

Bibliographical note

Keywords

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