An Efficient Motion Estimation Method for QTBT Structure in JVET Future Video Coding

Sang Hyo Park, Euee S. Jang

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

6 Scopus citations

Abstract

In this paper, an efficient motion estimation method for quadtree plus binary tree (QTBT) structure is presented for JVET future video coding (FVC). To exploit the possibility to design a new coding standard better than HEVC, an activity called future video coding has been active in MPEG and VCEG. One of the most influential new technologies proposed for FVC is QTBT structure, which can give more flexibility on the prediction block than quadtree-based HEVC. To advance the compression efficiency of QTBT, we propose a method that, for accurate motion estimation, sets a new point and adjusts search range accordingly based on the motion information of parent node. Performance evaluation was conducted on top of joint exploration model (JEM 3.0), which resulted in a 0.41% gain on average in terms of BD-rate under random access scenario without any burden on encoder complexity.

Original languageEnglish
Title of host publicationProceedings - DCC 2017, 2017 Data Compression Conference
EditorsAli Bilgin, Joan Serra-Sagrista, Michael W. Marcellin, James A. Storer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages454
Number of pages1
ISBN (Electronic)9781509067213
DOIs
StatePublished - 8 May 2017
Event2017 Data Compression Conference, DCC 2017 - Snowbird, United States
Duration: 4 Apr 20177 Apr 2017

Publication series

NameData Compression Conference Proceedings
VolumePart F127767
ISSN (Print)1068-0314

Conference

Conference2017 Data Compression Conference, DCC 2017
Country/TerritoryUnited States
CitySnowbird
Period4/04/177/04/17

Keywords

  • Future Video Coding
  • HEVC
  • JEM
  • Motion Estimation
  • QTBT

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