Early merge mode decision for depth maps in 3D-HEVC

Hao Chen, Chang Hong Fu, Yijin Zhang, Yui Lam Chan, Wan Chi Siu

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

6 Citations (Scopus)

Abstract

With the introduction of several new coding tools and technology for depth maps in 3D-HEVC, the coding efficiency is improved at the expense of computational complexity. Meanwhile, the inter-view correlation is not considered and used well for depth maps, while it is developed maturely in texture video coding. Therefore, in this paper, we propose an early determination scheme for the best prediction mode of depth maps in dependent views. The proposed algorithm can early determine the Merge mode as the best one and if it is all other candidates would be skipped by taking advantage of the inter-view information and the intermediate RD-cost comparison. Experimental results show that the proposed algorithm can provide about 22.1% remarkable time reduction with almost no BDBR increased compared with the state-of-the-art algorithm.
Original languageEnglish
Title of host publication2017 22nd International Conference on Digital Signal Processing, DSP 2017
PublisherIEEE
Volume2017-August
ISBN (Electronic)9781538618950
DOIs
Publication statusPublished - 3 Nov 2017
Event2017 22nd International Conference on Digital Signal Processing, DSP 2017 - London, United Kingdom
Duration: 23 Aug 201725 Aug 2017

Conference

Conference2017 22nd International Conference on Digital Signal Processing, DSP 2017
CountryUnited Kingdom
CityLondon
Period23/08/1725/08/17

Keywords

  • 3D-HEVC
  • dependent views
  • depth coding
  • early mode decision
  • inter-view correlation
  • statistical analysis

ASJC Scopus subject areas

  • Signal Processing

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