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 ProceedingsConference paper (refereed)Researchpeer-review

31 Citations (Scopus)


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 languageEnglish
Title of host publicationProceedings of the 2019 Data Compression Conference
Number of pages10
ISBN (Electronic)9781728106571
ISBN (Print)9781728106588
Publication statusPublished - Mar 2019
Externally publishedYes
Event2019 Data Compression Conference, DCC 2019 - Snowbird, United States
Duration: 26 Mar 201929 Mar 2019


Conference2019 Data Compression Conference, DCC 2019
Country/TerritoryUnited States

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.


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


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