Low complexity adaptive view Synthesis Optimization in HEVC based 3D Video Coding

Siwei Ma, Shiqi Wang, Wen Gao

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

40 Citations (Scopus)

Abstract

In this correspondence, we explore a low-complexity adaptive view synthesis optimization (VSO) scheme in the upcoming high-efficiency video coding (HEVC)-based 3-D video coding standard. We first devise a novel zero-synthesized view difference (ZSVD) model which jointly accounts for the distortion of the synthesized view induced by the compound impact of depth-disparity mapping, texture adaptation, and occlusion in the view synthesis process. This model can efficiently estimate the maximum allowable depth distortion in synthesizing a virtual view without introducing any geometry distortion. Then, an adaptive ZSVD-aware VSO scheme is proposed by incorporating the ZSVD model into the rate-distortion optimization process, which is developed by pruning the conventional view synthesis algorithm. Extensive experimental results confirm that the proposed model is capable of accurately predicting the zero distortion of the synthesized view and exhibit that the proposed ZSVD-aware VSO scheme can remarkably reduce the coding computational complexity with negligible performance loss.
Original languageEnglish
Article number6623153
Pages (from-to)266-271
JournalIEEE Transactions on Multimedia
Volume16
Issue number1
Online published7 Oct 2013
DOIs
Publication statusPublished - Jan 2014
Externally publishedYes

Research Keywords

  • 3D video coding
  • computational complexity
  • view synthesis optimization
  • zero synthesized view difference

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