Performance improvement of multi-view video coding based on geometric prediction and human visual system

Mian Shiuan Li, Mei Juan Chen, Chia Hung Yeh*, Kuang Han Tai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This article proposed an accurate disparity vector prediction (DVP) algorithm for multi-view video coding. Differing from traditional DVP that uses the information of motion vectors of neighboring blocks, the geometry of the camera position is utilized to calculate the parallax of different viewpoints in this algorithm and this parallax is the foundation of DVP. We jointly applied the Just-Noticeable-Difference human visual model to the DVP. After filtered using Gaussian function, the geometric DVP was obtained. Experimental results showed that the proposed method achieved significant data reduction and subjective/objective quality enhancement.

Original languageEnglish
Pages (from-to)41-49
Number of pages9
JournalInternational Journal of Imaging Systems and Technology
Volume25
Issue number1
DOIs
Publication statusPublished - 2015 Mar 1
Externally publishedYes

Keywords

  • disparity vector prediction
  • Gaussian
  • geometric prediction
  • multi-view video coding
  • parallax

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Software
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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