Industrial Applications of Ultrahigh Definition Video Coding with an Optimized Supersample Adaptive Offset Framework

Miaohui Wang, Wuyuan Xie, Jia Zhang, Jing Qin

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

This article presents an efficient superblock-based sample adaptive offset (superSAO) that jointly exploits block-wise filter partition and probabilistic band interval segmentation to improve quality-of-experience of industrial video applications. Specifically, we investigate the partition flexibility of a superSAO block whose root size is up to 256 × 256, and propose to optimize the block-wise SAO filter by considering computation complexity and compression efficiency. Furthermore, we segment the band interval by equal probability of the sample intensity distributions, which facilitates the computation of better band offsets to attenuate ringing artifact due to quantization errors or encoded motion vectors. Experimental results show that the proposed superSAO method outperforms state-of-the-art approaches by obtaining 4.6% bandwidth reduction on average for the low delay and high-compression video applications.

Original languageEnglish
Article number8998152
Pages (from-to)7613-7623
Number of pages11
JournalIEEE Transactions on Industrial Informatics
Volume16
Issue number12
DOIs
Publication statusPublished - Dec 2020

Keywords

  • High efficiency video coding (HEVC)
  • in-loop filter
  • sample adaptive offset (SAO)
  • super-block video coding
  • ultrahigh definition (UHD)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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