A visual discomfort recognition model based on the fusion of multisource information |
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| Authors: | Yunyang Shi Yan Tu Lili Wang Yin Zhang Xin Gao |
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| Affiliation: | Joint International Research Laboratory of Information Display and Visualization, School of Electronic Science and Engineering, Southeast University, Nanjing, China |
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| Abstract: | An experiment was performed to explore the influence of image attributes (white level, black level, color saturation, and sharpness) on visual discomfort, with measurements of the subjective questionnaire, eye movement, and electrocardiogram. The objective and subjective results showed that these image attributes influenced visual discomfort significantly. A visual discomfort recognition model based on Dempster–Shafer evidence theory was proposed according to the experiment results. With multiple features and weighting coefficients, the model could recognize visual discomfort states well. |
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| Keywords: | Dempster–Shafer evidence theory visual discomfort |
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