Visual attention analysis on stereoscopic images for subjective discomfort evaluation

Sewoong Ahn, Junghwan Kim, Haksub Kim, Sanghoon Lee

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

2 Citations (Scopus)

Abstract

By analyzing the statistical behaviors on human visual attention, we discover a clue that the fixation behaviors are highly correlated with how much the viewers feel visual discomfort on stereoscopic images differently from conventional subjective assessments. In order to quantify the correlation between visual attention and discomfort, we explore a novel methodology termed transition of visual attention (ToVA) according to various disparities, which accounts depth attributes of 3D images by eye-tracker experiments. Moreover, the saliency entropy is defined to quantify the distribution of fixations for 3D images. Then, we measure ToVA in terms of the relative saliency entropy using Kullback-Leibler divergence. In order to evaluate the effectiveness of ToVA, a successful example application is also provided, whereby ToVA is applied to obtaining subjective results of measuring discomfort experienced when viewing 3D displays rather than relying on the conventional subjective test by using scoring system.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Multimedia and Expo, ICME 2016
PublisherIEEE Computer Society
Volume2016-August
ISBN (Electronic)9781467372589
DOIs
Publication statusPublished - 2016 Aug 25
Event2016 IEEE International Conference on Multimedia and Expo, ICME 2016 - Seattle, United States
Duration: 2016 Jul 112016 Jul 15

Other

Other2016 IEEE International Conference on Multimedia and Expo, ICME 2016
CountryUnited States
CitySeattle
Period16/7/1116/7/15

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Entropy
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Ahn, S., Kim, J., Kim, H., & Lee, S. (2016). Visual attention analysis on stereoscopic images for subjective discomfort evaluation. In 2016 IEEE International Conference on Multimedia and Expo, ICME 2016 (Vol. 2016-August). [7552998] IEEE Computer Society. https://doi.org/10.1109/ICME.2016.7552998
Ahn, Sewoong ; Kim, Junghwan ; Kim, Haksub ; Lee, Sanghoon. / Visual attention analysis on stereoscopic images for subjective discomfort evaluation. 2016 IEEE International Conference on Multimedia and Expo, ICME 2016. Vol. 2016-August IEEE Computer Society, 2016.
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abstract = "By analyzing the statistical behaviors on human visual attention, we discover a clue that the fixation behaviors are highly correlated with how much the viewers feel visual discomfort on stereoscopic images differently from conventional subjective assessments. In order to quantify the correlation between visual attention and discomfort, we explore a novel methodology termed transition of visual attention (ToVA) according to various disparities, which accounts depth attributes of 3D images by eye-tracker experiments. Moreover, the saliency entropy is defined to quantify the distribution of fixations for 3D images. Then, we measure ToVA in terms of the relative saliency entropy using Kullback-Leibler divergence. In order to evaluate the effectiveness of ToVA, a successful example application is also provided, whereby ToVA is applied to obtaining subjective results of measuring discomfort experienced when viewing 3D displays rather than relying on the conventional subjective test by using scoring system.",
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Ahn, S, Kim, J, Kim, H & Lee, S 2016, Visual attention analysis on stereoscopic images for subjective discomfort evaluation. in 2016 IEEE International Conference on Multimedia and Expo, ICME 2016. vol. 2016-August, 7552998, IEEE Computer Society, 2016 IEEE International Conference on Multimedia and Expo, ICME 2016, Seattle, United States, 16/7/11. https://doi.org/10.1109/ICME.2016.7552998

Visual attention analysis on stereoscopic images for subjective discomfort evaluation. / Ahn, Sewoong; Kim, Junghwan; Kim, Haksub; Lee, Sanghoon.

2016 IEEE International Conference on Multimedia and Expo, ICME 2016. Vol. 2016-August IEEE Computer Society, 2016. 7552998.

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

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Ahn S, Kim J, Kim H, Lee S. Visual attention analysis on stereoscopic images for subjective discomfort evaluation. In 2016 IEEE International Conference on Multimedia and Expo, ICME 2016. Vol. 2016-August. IEEE Computer Society. 2016. 7552998 https://doi.org/10.1109/ICME.2016.7552998