An objective video quality metric for compressed stereoscopic video

Jungdong Seo; Xingang Liu; Donghyun Kim; Kwanghoon Sohn

doi:10.1007/s00034-011-9369-7

An objective video quality metric for compressed stereoscopic video

Jungdong Seo, Xingang Liu, Donghyun Kim, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

Abstract

Stereoscopic video create the impression of depth by using two slightly different viewpoints. Conventional video quality assessment methods for 2D video are not suitable for stereoscopic video, so a new video quality assessment model for stereoscopic video is needed. In this paper, we propose a new objective video quality metric for compressed stereoscopic video. The proposed algorithm uses blocking artifacts, blurring in edge regions and video quality difference between two views. Blocking artifacts and blurring in edge regions are distortion appeared in the compressed video, and they are widely used in conventional video quality model. Difference in video quality between two views considers 3D effect of stereoscopic video. To verify the performance of the proposed algorithm, we performed subjective evaluation of stereoscopic video, and we confirmed that the proposed algorithm is superior to the conventional algorithms in respect to correlation with the subjective evaluation.

Original language	English
Pages (from-to)	1089-1107
Number of pages	19
Journal	Circuits, Systems, and Signal Processing
Volume	31
Issue number	3
DOIs	https://doi.org/10.1007/s00034-011-9369-7
Publication status	Published - 2012 Jun

All Science Journal Classification (ASJC) codes

Signal Processing
Applied Mathematics

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abstract = "Stereoscopic video create the impression of depth by using two slightly different viewpoints. Conventional video quality assessment methods for 2D video are not suitable for stereoscopic video, so a new video quality assessment model for stereoscopic video is needed. In this paper, we propose a new objective video quality metric for compressed stereoscopic video. The proposed algorithm uses blocking artifacts, blurring in edge regions and video quality difference between two views. Blocking artifacts and blurring in edge regions are distortion appeared in the compressed video, and they are widely used in conventional video quality model. Difference in video quality between two views considers 3D effect of stereoscopic video. To verify the performance of the proposed algorithm, we performed subjective evaluation of stereoscopic video, and we confirmed that the proposed algorithm is superior to the conventional algorithms in respect to correlation with the subjective evaluation.",

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AU - Sohn, Kwanghoon

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