A fast view-temporal prediction algorithm for stereoscopic video coding

Zhi Pin Deng, Ke Bin Jia, Yui Lam Chan, Chang Hong Fu, Wan Chi Siu

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

4 Citations (Scopus)

Abstract

Based on the temporal and interview redundancy of stereoscopic video coding, a fast motion and disparity estimation algorithm is proposed in this paper. Firstly, a credible start point is designed taking use of the view-temporal correlation of neighboring motion and disparity vectors. Secondly, an improved searching strategy is proposed to reduce the computational complexity, in which only 2-pixel refinement is needed around the start point. The proposed algorithm can get both motion vector and disparity vector during one estimation process. The experimental results demonstrate that the proposed algorithm can reduce up to 96% coding time compared with inter-view full search with a negligible quality drop.
Original languageEnglish
Title of host publicationProceedings of the 2009 2nd International Congress on Image and Signal Processing, CISP'09
DOIs
Publication statusPublished - 1 Dec 2009
Event2009 2nd International Congress on Image and Signal Processing, CISP'09 - Tianjin, China
Duration: 17 Oct 200919 Oct 2009

Conference

Conference2009 2nd International Congress on Image and Signal Processing, CISP'09
CountryChina
CityTianjin
Period17/10/0919/10/09

Keywords

  • Disparity estimation
  • Interview redundancy
  • Stereoscopic video coding
  • View-temporal correlation

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering

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