Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video

Heeseok Oh, Sanghoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2012 3DTV-Conference
Subtitle of host publicationThe True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012 - Zurich, Switzerland
Duration: 2012 Oct 152012 Oct 17

Other

Other2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012
CountrySwitzerland
CityZurich
Period12/10/1512/10/17

Fingerprint

Fatigue of materials
Human engineering

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

Cite this

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] https://doi.org/10.1109/3DTV.2012.6365436
Oh, Heeseok ; Lee, Sanghoon. / Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video. 2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012. 2012.
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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, 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

Prediction of visual fatigue from spatiotemporal characteristics in stereoscopic video. / Oh, Heeseok; Lee, Sanghoon.

2012 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video, 3DTV-CON 2012. 2012. 6365436.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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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Oh H, Lee S. 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. 2012. 6365436 https://doi.org/10.1109/3DTV.2012.6365436