[HTML][HTML] Supervised learning based peripheral vision system for immersive visual experiences for extended display

MA Shirazi, R Uddin, MY Kim - Applied Sciences, 2021 - mdpi.com
Applied Sciences, 2021mdpi.com
Video display content can be extended to the walls of the living room around the TV using
projection. The problem of providing appropriate projection content is hard for the computer
and we solve this problem with deep neural network. We propose the peripheral vision
system that provides the immersive visual experiences to the user by extending the video
content using deep learning and projecting that content around the TV screen. The user may
manually create the appropriate content for the existing TV screen, but it is too expensive to ¡¦
Video display content can be extended to the walls of the living room around the TV using projection. The problem of providing appropriate projection content is hard for the computer and we solve this problem with deep neural network. We propose the peripheral vision system that provides the immersive visual experiences to the user by extending the video content using deep learning and projecting that content around the TV screen. The user may manually create the appropriate content for the existing TV screen, but it is too expensive to create it. The PCE (Pixel context encoder) network considers the center of the video frame as input and the outside area as output to extend the content using supervised learning. The proposed system is expected to pave a new road to the home appliance industry, transforming the living room into the new immersive experience platform.
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