Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video

Heeseok Oh; Sanghoon Lee

doi:10.1109/3DTV.2012.6365436

Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video

Heeseok Oh, Sanghoon Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Along with the increasing demand of 3D technology, the visual fatigue issue from stereoscopic video comes to the fore, which has been actively discussed in literature. Nevertheless, it is difficult to find a definite prediction model of visual fatigue in stereoscopic video due to the complexity of the human visual system (HVS). In this paper, we analyze the spatiotemporal characteristics such as depth, spatial frequency and motion. In addition, the human factor like the zone of comfort is also included to predict the visual fatigue. Consequently, we propose a novel prediction model by integrating the weights of several characteristics in stereoscopic video and verify its reliability through a subjective assessment.

Original language	English
Title of host publication	2012 3DTV-Conference
Subtitle of host publication	The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012
DOIs	https://doi.org/10.1109/3DTV.2012.6365436
Publication status	Published - 2012
Event	2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012 - Zurich, Switzerland Duration: 2012 Oct 15 → 2012 Oct 17

Publication series

Name	3DTV-Conference
ISSN (Print)	2161-2021
ISSN (Electronic)	2161-203X

Other

Other	2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012
Country/Territory	Switzerland
City	Zurich
Period	12/10/15 → 12/10/17

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Computer Networks and Communications
Computer Vision and Pattern Recognition
Human-Computer Interaction
Electrical and Electronic Engineering

Access to Document

10.1109/3DTV.2012.6365436

Cite this

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title = "Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video",

abstract = "Along with the increasing demand of 3D technology, the visual fatigue issue from stereoscopic video comes to the fore, which has been actively discussed in literature. Nevertheless, it is difficult to find a definite prediction model of visual fatigue in stereoscopic video due to the complexity of the human visual system (HVS). In this paper, we analyze the spatiotemporal characteristics such as depth, spatial frequency and motion. In addition, the human factor like the zone of comfort is also included to predict the visual fatigue. Consequently, we propose a novel prediction model by integrating the weights of several characteristics in stereoscopic video and verify its reliability through a subjective assessment.",

author = "Heeseok Oh and Sanghoon Lee",

year = "2012",

doi = "10.1109/3DTV.2012.6365436",

language = "English",

isbn = "9781467349055",

series = "3DTV-Conference",

booktitle = "2012 3DTV-Conference",

note = "2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012 ; Conference date: 15-10-2012 Through 17-10-2012",

}

Oh, H & Lee, S 2012, Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video. in 2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012., 6365436, 3DTV-Conference, 2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012, Zurich, Switzerland, 12/10/15. https://doi.org/10.1109/3DTV.2012.6365436

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AU - Lee, Sanghoon

PY - 2012

Y1 - 2012

N2 - Along with the increasing demand of 3D technology, the visual fatigue issue from stereoscopic video comes to the fore, which has been actively discussed in literature. Nevertheless, it is difficult to find a definite prediction model of visual fatigue in stereoscopic video due to the complexity of the human visual system (HVS). In this paper, we analyze the spatiotemporal characteristics such as depth, spatial frequency and motion. In addition, the human factor like the zone of comfort is also included to predict the visual fatigue. Consequently, we propose a novel prediction model by integrating the weights of several characteristics in stereoscopic video and verify its reliability through a subjective assessment.

AB - Along with the increasing demand of 3D technology, the visual fatigue issue from stereoscopic video comes to the fore, which has been actively discussed in literature. Nevertheless, it is difficult to find a definite prediction model of visual fatigue in stereoscopic video due to the complexity of the human visual system (HVS). In this paper, we analyze the spatiotemporal characteristics such as depth, spatial frequency and motion. In addition, the human factor like the zone of comfort is also included to predict the visual fatigue. Consequently, we propose a novel prediction model by integrating the weights of several characteristics in stereoscopic video and verify its reliability through a subjective assessment.

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DO - 10.1109/3DTV.2012.6365436

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SN - 9781467349055

T3 - 3DTV-Conference

BT - 2012 3DTV-Conference

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Y2 - 15 October 2012 through 17 October 2012

ER -

Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video

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