An Effective Foveated 360° Image Assessment Based on Graph Convolution Network
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DOI: 10.1109/access.2022.3204766
Abstract: Virtual reality (VR) has been adopted in various fields such as entertainment, education, healthcare, and the military, due to its ability to provide an immersive experience to users. However, 360° images, one of the main… read more here.
Keywords: effective foveated; 360 images; foveated 360; assessment ... See more keywords
Intra- and Inter-Reasoning Graph Convolutional Network for Saliency Prediction on 360° Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3197159
Abstract: Cubic projection can be utilized to divide 360° images into multiple rectilinear images, with little distortion. However, the existing saliency prediction models fail to integrate semantic information of these images. In this paper, we address… read more here.
Keywords: saliency; inter reasoning; 360 images; intra inter ... See more keywords
ScanGAN360: A Generative Model of Realistic Scanpaths for 360° Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3150502
Abstract: Understanding and modeling the dynamics of human gaze behavior in 360° environments is crucial for creating, improving, and developing emerging virtual reality applications. However, recruiting human observers and acquiring enough data to analyze their behavior… read more here.
Keywords: 360 images; realistic scanpaths; scangan360 generative; scanpaths 360 ... See more keywords