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In this paper, we propose a new visual discomfort prediction method for stereoscopic 3D contents. Our features are computed from stereoscopic 3D video such as disparity, motion, contrast, spatial complexity of salient objects and brightness and binocular asymmetries degree between left and right image in a 3D scene. The salient object is detected by region based multimodal information such as color,...
In this paper, we propose a visual discomfort evaluation method for stereoscopic 3D video using perceptual importance map. Generally, visual attention is more engaged by salient region having large disparity than the scene's background or other foreground regions. So, we extract perceptual importance map generated from a color based saliency map, an edge based saliency map and a disparity map to assess...
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