Quadtree decision for depth intra coding in 3D-HEVC by good feature

Hong Bin Zhang, Yui Lam Chan, Chang Hong Fu, Sik Ho Tsang, Wan Chi Siu

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

19 Citations (Scopus)

Abstract

3D-HEVC is a good coding solution for multi-view video plus depth data. It achieves good coding performance of synthesized views. However, depth intra coding brings unbearable complexity, which is the most urgent issue to be solved for the practical applications. Typically, depth maps have a good feature of structure or less texture compared with natural videos. Therefore, in this paper, a fast depth intra coding algorithm is proposed to speed up the quadtree decision by the good feature-corner point (CP). The proposed algorithm can adaptively extract CPs and preallocate the depth level of coding quadtree. The large size of coding units (CUs) can be skipped for blocks, which have higher predicted depth level. On the contrary, the blocks, with lower predicted depth level, do not check the smaller size of CUs. Simulation results show that the proposed algorithm can provide about 41% time reduction while maintaining the BD performance.
Original languageEnglish
Title of host publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings
PublisherIEEE
Pages1481-1485
Number of pages5
Volume2016-May
ISBN (Electronic)9781479999880
DOIs
Publication statusPublished - 18 May 2016
Event41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai International Convention Center, Shanghai, China
Duration: 20 Mar 201625 Mar 2016

Conference

Conference41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Country/TerritoryChina
CityShanghai
Period20/03/1625/03/16

Keywords

  • 3D-HEVC
  • coding unit decision
  • corner detection
  • depth map
  • Multi-view video plus depth

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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