Premium
Performance improvement of multi‐view video coding based on geometric prediction and human visual system
Author(s) -
Li MianShiuan,
Chen MeiJuan,
Yeh ChiaHung,
Tai KuangHan
Publication year - 2015
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.22119
Subject(s) - parallax , computer science , artificial intelligence , computer vision , coding (social sciences) , viewpoints , gaussian , human visual system model , mathematics , image (mathematics) , statistics , art , physics , quantum mechanics , visual arts
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. © 2015 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 25, 41–49, 2015