An adaptive segment-based view synthesis optimization method for 3D-HEVC

Huan Dou, Yui Lam Chan, Ke Bin Jia, Wan Chi Siu, Peng Yu Liu, Qiang Wu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)

Abstract

This paper presents an adaptive segment-based view synthesis optimization (VSO) for depth map coding in 3D-HEVC. The original method skips lines of pixels where there is no change in depth data, and exhaustively renders pixels from all the rest of lines to get distortions from synthesized views. It brings unnecessary coding operations and ignores smaller regions which can also be skipped in VSO. The proposed method is designed to skip proper segments of pixels for the non-skipped lines based on both of the texture smoothness and depth data unchangeableness. Experimental results show that the proposed method can achieve low coding complexity without significant performance loss for the synthesized views.
Original languageEnglish
Title of host publication2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
PublisherIEEE
Pages297-302
Number of pages6
ISBN (Electronic)9789881476807
DOIs
Publication statusPublished - 19 Feb 2016
Event2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015 - Hong Kong, Hong Kong
Duration: 16 Dec 201519 Dec 2015

Conference

Conference2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2015
CountryHong Kong
CityHong Kong
Period16/12/1519/12/15

Keywords

  • 3D-HEVC
  • depth coding
  • early skip
  • view synthesis optimization
  • VSO

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation
  • Signal Processing

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