Depth Map Down-Sampling and Coding Based on Synthesized View Distortion

Chao Yao, Jimin Xiao, Tammam Tillo, Yao Zhao, Chunyu Lin, Huihui Bai

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

In this paper, we propose a depth map down-sampling and coding scheme that minimizes the view synthesis distortion. Moreover, a solution for the optimal depth map down-sampling problem that minimizes the depth-caused distortion in the virtual view by exploiting the depth map and the associated texture information along with the up-sampling method to be used in the decoder side is derived. Furthermore, to enhance compression performance, the synthesized view distortion, which is evaluated by emulating the interpolation and the virtual view synthesis process, is used in the optimization objective function for coding mode selection in the video encoder. Experimental results show that both the proposed depth map down-sampling and encoding methods lead to good performance, and the average bit rate reduction is 2.62% compared with 3D-AVC.

Original languageEnglish
Article number7523422
Pages (from-to)2015-2022
Number of pages8
JournalIEEE Transactions on Multimedia
Volume18
Issue number10
DOIs
Publication statusPublished - Oct 2016

Keywords

  • Depth coding
  • View synthesis
  • depth down-/up-sampling
  • optimal depth down-sampling
  • three-dimensional (3D)

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