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

doi:10.1002/ima.22119

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 journal › Article › peer-review

2 Citations (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 language	English
Pages (from-to)	41-49
Number of pages	9
Journal	International Journal of Imaging Systems and Technology
Volume	25
Issue number	1
DOIs	https://doi.org/10.1002/ima.22119
Publication status	Published - 2015 Mar 1
Externally published	Yes

Keywords

Gaussian
disparity vector prediction
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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10.1002/ima.22119

Cite this

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

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.",

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AU - Li, Mian Shiuan

AU - Chen, Mei Juan

AU - Yeh, Chia Hung

AU - Tai, Kuang Han

PY - 2015/3/1

Y1 - 2015/3/1

N2 - 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.

AB - 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.

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KW - geometric prediction

KW - multi-view video coding

KW - parallax

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

Abstract

Keywords

ASJC Scopus subject areas

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