Skip to main navigation Skip to search Skip to main content

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: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publicationProceedings - DCC 2019
Subtitle of host publication2019 Data Compression Conference
EditorsMichael W. Marcellin, Joan Serra-Sagrista, Ali Bilgin, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages300-309
Number of pages10
ISBN (Electronic)9781728106571
DOIs
StatePublished - 10 May 2019
Externally publishedYes
Event2019 Data Compression Conference, DCC 2019 - Snowbird, United States
Duration: 26 Mar 201929 Mar 2019

Publication series

NameData Compression Conference Proceedings
Volume2019-March
ISSN (Print)1068-0314

Conference

Conference2019 Data Compression Conference, DCC 2019
Country/TerritoryUnited States
CitySnowbird
Period26/03/1929/03/19

Keywords

  • CU Partitioning
  • EQT
  • Extended quad tree partitioning
  • Future video coding
  • QTBT

Fingerprint

Dive into the research topics of 'Extended Quad-Tree Partitioning for Future Video Coding'. Together they form a unique fingerprint.

Cite this